1record_id,doi,title,year,venue,authors,abstract,citations,oa_pdf24c495e1d8e58e3a43337bbf693b10e3c02146b87,10.18059/jmi.v2i2.27,Real Estate Home Pricing: Hedonic model variables and Community Amenities Roles,2016,,T. Dorr,,2.0,356fd1e9f02f0cc2e9b713258128c2f9c8390ce8f,10.5755/j01.erem.81.4.40383,Rehabilitation of Public Spaces with Construction Excavation Waste (E-CDW): A Case Study of Costanera San Miguel-Lima-Peru,2025,"Aplinkos tyrimai, inzinerija ir vadyba / Environmental Research, Engineering and Management",MIilagros Defilippi; J. A. Herrera; Patty Condor; Joaquín Mantilla; C. Eyzaguirre; Alexis Dueñas,"Lima is the most important city in Peru, as it is home to about a third of the country’s total population (around 10 million people), and concentrates more than half of the national GDP. Considering various sources, Lima concentrates 60% of the activity in the construction and real estate sector, with buildings averaging 10.5 floors in height, which can extend in certain districts up to 20 floors. A multi-stage methodology was developed, comprising three stages. In the first stage, based on the data collected by the Association of Ecological Studies and Sustainable Civil Research (ADEICs) institution, the excavation construction and demolition waste (E-CDW) generation trends were modelled and the annual E-CDW generation rate was predicted using ARIMA models, Holt-Winters and Neural Networks. In the second stage, life cycle assessment (LCA) was used to estimate the environmental impacts related to ten impact categories, including global warming. Finally, using the hedonic price model, the economic value of the E-CDW waste was estimated. The reuse of excavation material is an alternative for the recovery of public spaces. It is the case of the waterfront of the district of San Miguel",1.0,https://doi.org/10.5755/j01.erem.81.4.403834https://openalex.org/W3123744319,10.18533/ijbsr.v4i8.576,Hedonic Price Method for Housing,2014,DOAJ (DOAJ: Directory of Open Access Journals),Jeyhun Abbasov,"Hedonic goods are analyzed by “Hedonic price model” and it makes possible to compute the adequacy of price indices in the commodity markets. Hedonic goods involve an immovable property, such as apartment, computers, cars, home things, mobile phones etc. The features of these goods form their prices.\n\nMarginal effects of features of goods in forming the prices of hedonic goods can be determined by this approach. In other words, the parameters obtained from estimating the hedonic price model describes the marginal value of characteristics of goods. \n\nThis method creates wide opportunities for analyzing the quality changes on behavior and pleasure of people.",1.0,5061e97544e7ec58c80f2960d8a452a77b5ce1846,10.2139/ssrn.3044349,Is Real Estate Liquidity Influenced by Green Hedonic Attributes? Large Sample Evidence from German Residential Markets,2017,,Marcelo Cajias,,1.0,https://doi.org/10.2139/ssrn.30443496https://openalex.org/W2032055130,10.1109/icmt.2011.6003072,The application of SPSS in empirical research of housing hedonic price,2011,,Xuyu Wang,"This paper introduces the application of SPSS in empirical research. Through estimate, test and regression analysis the housing hedonic price model of linear, logarithmic, half-logarithmic by SPSS, we obtained the housing hedonic price model of Shanghai.",1.0,748a3b4d6529ce434770ecbc6d1560f4ccf40fce0,10.15641/jarer.v10i2.1844,Residential Real Estate Market Characteristics and Mortgage Origination in Emerging Economies: The Case of Ghana,2025,Journal of African Real Estate Research,O. Akinsomi; Wilfred Anim-Odame; P. Owusu,"This study analyses the relationship between mortgage origination and residential real estate property characteristics in Ghana. Using transaction-based data on 1476 mortgages from 2008 to 2016, we apply the hedonic pricing model and multivariate regression to establish the role of structural property characteristics and residential real estate sub-markets in determining mortgage origination, separated into loan amount and loan-to-value (LTV) ratio. Further, the risk of default in the mortgages is estimated as an additional risk assessment tool for lenders. The findings reveal that residential sub-markets are important variables to consider when mortgages are originated. In Ghana, properties in Upmarket, Emerging upmarket, and Middle-income sub-markets tend to attract lower loan values in comparison to properties in Gated communities, primarily due to their neighbourhood characteristics. In addition, properties in emerging, upmarket, and middle-income sub-markets attract higher LTV ratios. It was revealed that in upmarket areas, the number of bedrooms, detached, and outhouses does not contribute to determining the risk of default in mortgages. We also find that the risk of default ",0.0,https://journals.uct.ac.za/index.php/JARER/article/download/1844/11978ec75bb4c4de7b9bf80b4878e4744bc00a5c7c82f,10.54097/3bf94c14,The Mass Appraisal Study of Taxable Price of Commodity Housing Based on Automated Valuation Models,2025,Journal of Innovation and Development,Kaiqing Wang; Yichao Wang; Zhuang Yang,"The purpose of this study is to reveal the construction characteristics and advantages of the random forest automatic assessment model based on the transaction data of new commercial housing in X district of A city, and to introduce a rolling time window to enhance the model performance of random forest and guide its practice in the mass appraisal of taxable price of commodity housing. The methods of this study are GIS spatial information processing, random forest algorithm and rolling time window time series analysis. The research results show that: 1) the number of features in the feature subset at regression tree splitting and the node division rules at regression tree splitting have a large impact on the prediction accuracy of the random forest automatic assessment model. 2) The evaluation accuracy and generalization ability of the random forest automatic evaluation model are significantly better than those of the Hedonic model, with a goodness-of-fit of 98% and an average absolute error percentage of 2.7% in the training and test sets. 3) The introduction of a suitable rolling time window can improve the prediction accuracy and economic explanation ability of the random forest",0.0,https://doi.org/10.54097/3bf94c14967911f7bdddcd034dda3a61f94e39b67145efb00,10.37394/23207.2022.19.163,Appraisal of Apartments in Albania using Hedonic Regression,2022,Wseas Transactions on Business and Economics,Ines Nurja; Fatma Jaupi; Ogerta Elezaj,"Valuation of property is an important part of the land organization framework since it has a direct impact on people’s lives. The adjustments within the property estimation can dramatically change the abundance of the organizations and their ability for development. A variety of people may benefit from a better property valuation framework in our society because it reduces the risk of investing in this division and encourages lower interest rates on loans. The aim of this paper is to empirically demonstrate that, aside from location and address of properties, there are other major factors that influence the price of flats in Albania by developing a hedonistic pricing model. The capital city of Tirana and also Durres were selected for this research paper in order to develop a hedonic price model based on the data collected by properties sold at one of the largest real estate agencies, “Century 21” in the country. According to the findings, apartment attributes such as area of living, number of bedrooms and other factors influence the price. The findings also revealed the marginal influence of the number of apartment spaces, which was dependent on the living area of the apartment. Th",0.0,https://doi.org/10.37394/23207.2022.19.16310b8920538ad0e76dce66308df5873f64b3a5b04bb,10.2478/remav-2025-0026,The Impact of Selected Attributes of New Residential Properties on the Timing of Their Sale: an Empirical Analysis Using the Example of a Housing Estate in Szczecin,2025,Real Estate Management and Valuation,Anna Gdakowicz; Ewa Putek-Szeląg,"Abstract The article summarizes research on the impact of selected characteristics of new apartments on the timing of their sale. The analysis covered properties built between 2014 and 2022 by a single developer in Szczecin. The study was based on data on a housing estate with consistent development, divided into four construction stages. Duration analysis and hedonic regression methods were used. Key findings of the study are as follows: window exposure: apartments with south- or west-facing windows sold faster; view from the window: a positive view (e.g., of green areas) accelerated sales, while a negative view (e.g., a railroad embankment) delayed them; location: apartments on the top floors sold faster; construction stage: the fastest sales took place in Stage 2, and the slowest in Stage 1, which was explained by the unattractive surroundings of the construction site; number of rooms: the fastest sales were two-room apartments, which were more affordable and attractive for investment. The survey indicates that the key factors for buyers are the comfort of the apartments, the view from the window, sunshine and the orderliness of the development’s surroundings. The results provid",0.0,https://doi.org/10.2478/remav-2025-00261111fe35bdf80edaf5839facd7de8da03bbf26b9ed,10.5194/isprs-archives-xlvi-4-w5-2021-431-2021,HEDONIC MODELING OF HOUSING PURCHASE/SALE DENSITY WITH URBAN CHANGE FACTORS,2021,"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",H. E. Pirbudak; S. Yalpır; A. U. Akar,"Abstract. Due to the industrialization in the cities, land needs have appeared in the increasing urban population. These needs have created houses with the accumulate of collective living spaces in the city. It is necessary to determine the supply-demand relationship and value of these real estates with economic importance for smart urban management systems and decision support systems in the market. The value of real estate varies according to the country in which it is located, but in general, it is affected by many factors such as spatial attributes, demographic factors, building factors, economic conditions. Depending on these factors, values and purchase-sale densities of housing also change.In this study, for prediction of housing purchase-sale density, hedonic modeling was realized with 15 features from urban change factors. Urban change factors that affect the purchase/sale of housing such as land use, demographic factors, population density and structural factors have been examined through Geographic Information System (GIS). The hedonic regression method was used for predicting the density of housing purchase/sale. As a result of the modeling, it was found as R2 = 0,85.12",0.0,https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W5-2021/431/2021/isprs-archives-XLVI-4-W5-2021-431-2021.pdf1390ca92cf552bca8610e36334b35e9485074684f2,10.33764/2618-981x-2020-3-1-75-80,HEDONIC PRICING AT NOVOSIBIRSK HOUSING MODERN MARKET,2020,,Y. Kazantsev,"The paper is aimed at searching a hedonic margin on housing in the city of Novosibirsk. Hedonic pricing confirms the price difference of residential properties in the context of a large list of matches. The methodology that has been proven in foreign studies is used to identify the causes of price differences, however, in this study we observe a traditional Soviet housing stock that is not competitive in modern urban planning. Usually the hedonic margin refers to the environmental or recreational characteristics of the area; thisstudy is more a tendency to the second option. It seems to be a novelty to reduce the complex of parameters of hedonic pricing to one key factor. The main problems of mathematical modeling of the hedonic behavior of the buyer in the real estate market in Novosibirsk are identified. The results are comparable with similar data from foreign colleagues.",0.0,https://doi.org/10.33764/2618-981x-2020-3-1-75-8014670783d3e4613f6e96cb818330755422772653ef,10.36253/aestim-19711,The impact of energy certification on the real estate market: an analysis using Big Data and hedonic pricing,2026,Aestimum,D. Vecchiato; Carolina Bonardi Pellizzari; Andrea Dominici; T. Tempesta,"This study analyses the effect of Energy Performance Certificates (EPC) on residential buildings in Padua (Italy). Introduced by the 2002/91/EC Directive, EPCs became mandatory in European Union countries for buildings at sale or lease. Using web-scraping we collected 5,188 real estate offers in 2022 and 2023, of which 1,738 were in the ‘apartment’ category and suitable for data analysis. We examined EPC effects on prices both in aggregate terms (2022–2023 combined) and by year, to test short-run stability. Results confirm previous findings: a price premium emerges as energy classes improve, with the highest values for top EPC ratings. While most housing characteristics showed stable short-run effects, EPC classes revealed a stronger and more significant impact over time, especially for lower energy classes.",0.0,https://oaj.fupress.net/index.php/ceset/article/download/19711/146491536b7cbdecc397c215e3c57c8692fddc80cf2c8dd,10.1109/aist55798.2022.10064905,Assessment of Bedroom Utility: Fuzzy Logic based Approach,2022,"International Joint Conference on the Analysis of Images, Social Networks and Texts",Kshitij Kumar Sinha; M. Mathur; Arun Sharma,"Indian Real Estate industry largely remains affected by the speculative market. The prevalent practice of valuation of residential property (which is calculated on Hedonic pricing model) is majorly driven by the external characteristics (such as location, land value, etc.). This is being promoted on the pretext that the internal characteristics of an apartments remains more or less same differing only on the limited aspects of area, no. of rooms, material specifications, etc. The design, on the other hand, plays tremendous role in improving quality of living. Restricting its valuation only to few features of provisioning does not allow us to appreciate the true value design has to offer. Building on this, this paper shows that by giving due importance to the design value of an apartment from its utility perspective, a more appropriate model of property valuation can be ascertained.This paper takes bedroom (as a case study) and applies fuzzy logic to predict the utility score of the bedroom. The inventory that the bedroom layout supports, the quality aspects associated with the bedroom inventory and the area becoming the inputs; the proposed system assigns a value to the bedroom fro",0.0,16doi_10_24302_drd_v15_5426,10.24302/drd.v15.5426,Análise da relação entre criminalidade e valor por metro quadrado dos imóveis residenciais no município de Belo Horizonte Analysis of the relationship between crime and the value per square meter of residential property in the city of Belo Horizonte Análisis de la relación entre la delincuencia y el valor por metro cuadrado de la propiedad residencial en el municipio de Belo Horizonte,2025,DRd - Desenvolvimento Regional em debate,Iago Miranda Soares; Evandro Camargos Teixeira; Igor Santos Tupy,"The disorderly expansion of cities increases regional inequalities and contributes to the rise of crime in large urban centers. In view of this, this study investigated the relationship between the average homicide and robbery rates per 100,000 inhabitants and the value per square meter of residential property in Belo Horizonte in the period 2017-2021, using hierarchical models with spatial lag. As a result, the Exploratory Analysis of Spatial Data (AEDE) indicated distinct patterns of agglomeration for crime rates between the regions of the municipality of Belo Horizonte. In addition, the econometric results revealed that properties located in regions with higher homicide rates have lower square meter values in their built-up areas. On the other hand, the opposite is true for theft and robbery rates, which show a positive relationship with the square meter value of the properties. Keywords: crime; regional inequalities; hedonic prices; spatial hierarchical model; Belo Horizonte.",0.0,171bff2b72d54a0306c424a28ef66b6eb1ba10cdb2,10.36871/ek.up.p.r.2026.09.03.012,Housing class as a price signal in the capital and regional primary real estate markets,2026,"EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA",Alexander Sergeevich Ivonin,"Based on data on 274 lots in 103 residential complexes in Moscow, Moscow Oblast and Izhevsk, the paper estimates the independent price informativeness of the declared housing class. In a hedonic model controlling for objective characteristics, class effects in Izhevsk are monotonic and highly significant (from +15% to +124% relative to the standard class), whereas in Moscow the mass-market grades are devalued and only the upper segment of the scale is significant. It is concluded that, as market maturity grows, the discrete class signal is replaced by continuous mechanisms of price coordination.",0.0,18doi_10_46677_compendium_v7i3_875,10.46677/compendium.v7i3.875,PRECIOS HEDÓNICOS: VALORACIÓN DE BIENES PÚBLICOS HEDONIC PRICES: VALUATION OF PUBLIC GOODS,2020,Compendium: Cuadernos de Economía y Administración,Christian Rosero; Ronald Campoverde,"In the research, the price of public goods measured through the price of homes was estimated, because they do not have a market that can value them directly. The methodology of hedonic prices was used, with the information from the cadastre of a city of Ecuador, which highlights physical attributes, the neighborhood, and the inclusion of public services. The average value for drinking water was 27.66, the rainwater drainage of 19.25, of 1.26 the sanitary sewer, of 12.48 the public toilet, 2.34 for the garbage collection and of 19.35 that of the lighting.",0.0,19cf8e9fb247cc713454897302152c0d504cd3451c,10.15396/eres2017_1,Valuing Visual Accessibility of Scenic Landscapes in a Single Family Housing Market: A Spatial Hedonic Approach,2017,,Jay Mittal,,0.0,https://eres.architexturez.net/system/files/P_20161013041656_675.pdf20doi_10_1007_s10901_009_9176_7,10.1007/s10901-009-9176-7,"A. Baranzini, J. Ramirez, C. Schaerer and P. Thalmann (eds), Hedonic methods in housing markets: pricing environmental amenities and segregation",2009,Journal of Housing and the Built Environment,François Des Rosiers,,0.0,21doi_10_3790_gjrer_7_1_50,10.3790/gjrer.7.1.50,Hedonische Regression der Wohnungsmietpreise unter Berücksichtigung von Lagevariablen am Beispiel eines Bestandsim Ruhrgebiet.,2008,German Journal of Real Estate Research,Jochen Möbert; Konstantin Kortmann; Rita Nemeth,,0.0,22doi_10_22167_2675_6528_202602220,10.22167/2675-6528-202602220,Precificação Hedônica de Imóveis na Grande Florianópolis: Uso e Comparação de Modelos de “Machine Learning”,2026,Revista E&S,Gabriel Galvan de Cesaro; Lilian Cristina Da Silveira,,0.0,23doi_10_1126_science_278_5335_52,10.1126/science.278.5335.52,Drug Abuse: Hedonic Homeostatic Dysregulation,1997,Science,George F. Koob; Michel Le Moal,"Understanding the neurobiological mechanisms of addiction requires an integration of basic neuroscience with social psychology, experimental psychology, and psychiatry. Addiction is presented as a cycle of spiralling dysregulation of brain reward systems that progressively increases, resulting in compulsive drug use and a loss of control over drug-taking. Sensitization and counteradaptation are hypothesized to contribute to this hedonic homeostatic dysregulation, and the neurobiological mechanisms involved, such as the mesolimbic dopamine system, opioid peptidergic systems, and brain and hormonal stress systems, are beginning to be characterized. This framework provides a realistic approach to identifying the neurobiological factors that produce vulnerability to addiction and to relapse in individuals with a history of addiction.",1997.0,24doi_10_1192_bjp_167_1_99,10.1192/bjp.167.1.99,A Scale for the Assessment of Hedonic Tone the Snaith–Hamilton Pleasure Scale,1995,British Journal of Psychiatry,R. P. Snaith; M. Hamilton; S. Morley; A. Humayan; D. Hargreaves; P. Trigwell,"Background Hedonic tone and its absence, anhedonia, are important in psychopathological research, but instruments for their assessment are lengthy and probably culturally biased. Method A new scale was constructed from the responses of a large sample of the general population to a request to list six situations which afforded pleasure. The most frequent items were reviewed and those likely to be affected by cultural setting, age, or sex were removed. A pilot study led to an abbreviated scale of 14 items, covering four domains of pleasure response. This questionnaire was subjected to psychometric evaluation in new samples from the general population and psychiatric patients. Results The scale was found to have a score range that would distinguish a ‘normal’ from an ‘abnormal’ response. Validity and reliability were found to be satisfactory. Conclusions The new scale, the Snaith-Hamilton Pleasure Scale (SHAPS), is an instrument which may be recommended for psychopathological research.",1502.0,25doi_10_3945_jn_108_097618,10.3945/jn.108.097618,Homeostatic and Hedonic Signals Interact in the Regulation of Food Intake,2009,The Journal of Nutrition,Michael Lutter; Eric J. Nestler,,510.0,26doi_10_1023_a_1007703229507,10.1023/a:1007703229507,Analysis of Spatial Autocorrelation in House Prices,1998,The Journal of Real Estate Finance and Economics,Sabyasachi Basu; Thomas G. Thibodeau,,428.0,2700ee4758a40a5c70dabfeffb7b541ebaf296e48a,10.1016/s1051-1377(03)00003-2,Do Housing Submarkets Really Matter,2003,,M. Hoesli; Steven C. Bourassa; Vincent S. Peng,"We maintain that the appropriate definition of submarkets depends on the use to which they will be put. For mass appraisal purposes, submarkets should be defined so that the accuracy of hedonic predictions will be optimized. Thus we test whether out-of-sample hedonic value predictions can be improved when a large urban housing market is divided into submarkets and we explore the effects of alternative definitions of submarkets on the accuracy of predictions. We compare a set of submarkets based on small geographical areas defined by real estate appraisers with a set of statistically generated submarkets consisting of dwellings that are similar but not necessarily contiguous. The empirical analysis uses a transactions database from Auckland, New Zealand. Price predictions are found to be most accurate when based on the housing market segmentation used by appraisers. We conclude that housing submarkets matter, and location plays the major role in explaining why they matter.",399.0,https://archive-ouverte.unige.ch/unige:5796280dc9490a9305356558d8da54594b8ff216036083,10.1023/a:1007744706720,Spatial Dependence and House Price Index Construction,1997,,Ay Se Can; I. Megbolugbe,,380.0,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=923029doi_10_1016_s1051_1377_03_00031_7,10.1016/s1051-1377(03)00031-7,Housing market segmentation and hedonic prediction accuracy,2003,Journal of Housing Economics,Allen C. Goodman; Thomas G. Thibodeau,,308.0,30doi_10_1016_0094_1190_78_90004_9,10.1016/0094-1190(78)90004-9,"Hedonic prices, price indices and housing markets",1978,Journal of Urban Economics,Allen C. Goodman,,298.0,31https://openalex.org/W1967087580,10.2307/1911956,An Estimate of a Structural Hedonic Price Model of the Housing Market: An Application of Rosen's Theory of Implicit Markets,1979,Econometrica,Ann Dryden Witte; Howard J. Sumka; Homer Erekson,"Ann D. Witte, Howard J. Sumka, Homer Erekson, An Estimate of a Structural Hedonic Price Model of the Housing Market: An Application of Rosen's Theory of Implicit Markets, Econometrica, Vol. 47, No. 5 (Sep., 1979), pp. 1151-1173",270.0,321cf1702740df1991cfc288ee3251251d597b3e53,10.1016/j.landurbplan.2019.103642,Accessibility to urban parks for elderly residents: Perspectives from mobile phone data,2019,Landscape and Urban Planning,Si-Hui Guo; Ci Song; T. Pei; Ya-Xi Liu; Ting Ma; Yun-Yan Du; Jie Chen; Zi-De Fan; Xianli Tang; Yong Peng; Yanbin Wang,"Abstract Many countries are facing an aging population crisis, triggering major concerns over how to best provide services for older people. Parks are an important public service resource for older people living in urban areas. Due to the uneven geographic distribution of parks within a city, elderly people may have unequal access to this resource, based on their socioeconomic status. This park access issue has been under-examined among older populations, who may be more vulnerable and have limited physical mobility. The two-step floating catchment area (2SFCA) method has been increasingly used to measure access to parks; however, a “catchment area,” defined as the traveling distance to a resource, may be biased against older subjects, due to the lack of behavior-based information within traditional census data. To bridge this methodological gap within the literature, this study sought to estimate park access for the elderly, using the 2SFCA method and new data sources (mobile phone data), in order to determine if older people experience inequitable park access owing to their socioeconomic status. Based on a spatial and multivariate analysis of data collected in Beijing, we find th",260.0,33doi_10_1068_a34162,10.1068/a34162,The Definition and Identification of Housing Submarkets,2001,Environment and Planning A: Economy and Space,Craig A Watkins,"Although it is widely accepted that urban housing markets are too complex to be described by unitary market, equilibrium models, the role of submarkets has not been embraced in applied research. In this paper it is argued that this is unsurprising and can be traced to the failure to establish a theoretical or empirical basis for submarket modeling. I note that, throughout the housing economics literature, the term ‘submarket’ is subject to a range of definitions; the means of identifying submarkets has varied; empirical analyses have employed differing tests; and case studies have focused on a range of different cities and different time periods. This inconsistency has prevented the development of a coherent analytical approach. By using data from the Glasgow housing market a range of alternative definition and identification schemes are compared. The evidence suggests that submarkets are important and that, rather than being based exclusively on the similarity of property characteristics or geographical contiguity, the dimensions of housing submarkets are determined by both spatial and structural factors simultaneously.",251.0,34doi_10_1016_s0896_6273_00_80109_9,10.1016/s0896-6273(00)80109-9,Drug Addiction: The Yin and Yang of Hedonic Homeostasis,1996,Neuron,George F Koob,,250.0,3537670ea65e08543150679a7f7914aeae1fd09617,10.1016/j.trb.2014.02.007,A Spatial Difference-in-Differences Estimator to Evaluate the Effect of Change in Public Mass Transit Systems on House Prices,2014,,Jean Dubé; Diègo Legros; M. Thériault; François Des Rosiers,,246.0,36doi_10_1016_s0094_1190_02_00010_4,10.1016/s0094-1190(02)00010-4,The impact of school characteristics on house prices: Chicago 1987–1991,2002,Journal of Urban Economics,Thomas A. Downes; Jeffrey E. Zabel,,232.0,37doi_10_1016_j_landurbplan_2009_01_009,10.1016/j.landurbplan.2009.01.009,Value of scenic views: Hedonic assessment of private housing in Hong Kong,2009,Landscape and Urban Planning,C.Y. Jim; Wendy Y. Chen,,230.0,3807ffc5f8a84b2d44a8760180e14fb5337d290885,10.1016/j.asieco.2015.11.001,Leaning Against the Wind: Macroprudential Policy in Asia,2014,Social Science Research Network,Long-Mei Zhang; Edda Zoli,"In recent years, many countries have adopted macroprudential measures to safeguard financial stability, in particular to deal with the credit and asset price cycles driven by global capital flows. Using a newly constructed database on macroprudential instruments and capital flow measures in 13 Asian economies and 33 economies in other regions for the period 2000–2013, the paper formulates various macroprudential policy indices, aggregating sub-indices on key instruments. Asian economies appear to have made greater use of macroprudential tools, especially housing-related measures, than their counterparts in other regions. The effects of macroprudential policy are assessed through an event study, cross-country macro panel regressions, and bank-level micro panel regressions. The analysis suggests that housing-related macroprudential instruments-particularly loan-to-value ratio caps and housing tax measures—have helped curb housing price growth, credit growth, and bank leverage in Asia.",224.0,https://doi.org/10.1016/j.asieco.2015.11.001390018c4e3a517312ec210f1879e51e790265ebfcb,10.1016/j.buildenv.2006.05.004,Measuring the neighboring and environmental effects on residential property value: Using spatial weighting matrix,2007,,E. Hui; Kwan-Chau Chi; Li H. H. Pun; M. Y. Law,,216.0,http://hdl.handle.net/10397/1109640doi_10_1080_095999196368899,10.1080/095999196368899,"Hedonic modelling, housing submarkets and residential valuation",1996,Journal of Property Research,A. S. Adair; J. N. Berry; W. S. McGreal,,216.0,41doi_10_1152_jn_00576_2006,10.1152/jn.00576.2006,Ventral Pallidum Firing Codes Hedonic Reward: When a Bad Taste Turns Good,2006,Journal of Neurophysiology,Amy J. Tindell; Kyle S. Smith; Susana Peciña; Kent C. Berridge; J. Wayne Aldridge,"The ventral pallidum (VP) is a key structure in brain mesocorticolimbic reward circuits that mediate “liking” reactions to sensory pleasures. Do firing patterns in VP actually code sensory pleasure? Strong evidence for hedonic coding requires showing that neural signals track positive increases in sensory pleasure or even reversals from bad to good. A useful test is the salt alliesthesia of physiological sodium depletion that makes even aversively intense NaCl taste become palatable and “liked.” We compared VP neural firing activity in rats during aversive “disliking” reactions elicited by a noxiously intense NaCl taste (triple-seawater 1.5 M concentration) in normal homeostatic state versus in a physiological salt appetite state that made the same NaCl taste palatable and elicit positive “liking” reactions. We also compared firing elicited by palatable sucrose taste, which always elicited “liking” reactions in both states. A dramatic doubling in the amplitude of VP neural firing peaks to NaCl was caused by salt appetite that matched the affective switch from aversive (“disliking”) to positive hedonic (“liking”) reactions. By contrast, VP neural activity to “liked” sucrose taste wa",204.0,42doi_10_1006_juec_2000_2205,10.1006/juec.2000.2205,Spatial Lock-in: Do Falling House Prices Constrain Residential Mobility?,2001,Journal of Urban Economics,Sewin Chan,,201.0,43doi_10_1080_00420989650011690,10.1080/00420989650011690,The Process of Commercialisation of Urban Housing in China,1996,Urban Studies,Ya Ping Wang; Alan Murie,"The role of the state in housing has been the subject of controversial debate recently in China. More and more decision-makers consider that the supply of housing should be left to market forces of demand and supply. Various new policies have been introduced from as early as 1979, designed to commercialise and reform the public-sector-dominated housing system. This paper provides a review of housing reforms and a systematic account of the key features of the commercialisation process. It focuses principally on the attempts to privatise public-sector housing in urban areas in the context of the major characteristics and problems of the urban housing system, the development of reform policies and legislation and current reform practice.",198.0,44doi_10_1016_0094_1190_80_90055_8,10.1016/0094-1190(80)90055-8,Some empirical results on the nature of the hedonic price function for the urban housing market,1980,Journal of Urban Economics,Peter Linneman,,197.0,45doi_10_1016_j_neuroscience_2004_04_035,10.1016/j.neuroscience.2004.04.035,Food for thought: hedonic experience beyond homeostasis in the human brain,2004,Neuroscience,M.L Kringelbach,,190.0,4610bbdef60dc6884e43b1a559b573e9e2f3d29a4a,10.1016/j.procs.2020.06.111,Housing Price Prediction via Improved Machine Learning Techniques,2020,Procedia Computer Science,Quang Truong; Minh Nguyen; Hy Dang; Bo Mei,"Abstract House Price Index (HPI) is commonly used to estimate the changes in housing price. Since housing price is strongly correlated to other factors such as location, area, population, it requires other information apart from HPI to predict individual housing price. There has been a considerably large number of papers adopting traditional machine learning approaches to predict housing prices accurately, but they rarely concern about the performance of individual models and neglect the less popular yet complex models. As a result, to explore various impacts of features on prediction methods, this paper will apply both traditional and advanced machine learning approaches to investigate the difference among several advanced models. This paper will also comprehensively validate multiple techniques in model implementation on regression and provide an optimistic result for housing price prediction.",174.0,https://www.sciencedirect.com/science/article/pii/S1877050920316318/pdf47doi_10_1016_s1574_0080_99_80010_8,10.1016/s1574-0080(99)80010-8,Chapter 41 Hedonic analysis of housing markets,1999,Handbook of Regional and Urban Economics Applied Urban Economics,Stephen Sheppard,,174.0,480941ee31c7b25135aba969a2f9385ec447f094cb,10.1086/669585,Global House Price Fluctuations: Synchronization and Determinants,2012,NBER International Seminar on Macroeconomics,Hideaki Hirata; M. A. Kose; Christopher Otrok; Marco E. Terrones,"We examine the properties of house price fluctuations across 18 advanced economies over the past 40 years. We ask two specific questions: First, how synchronized are housing cycles across these countries? Second, what are the main shocks driving movements in global house prices? To address these questions, we first estimate the global components in house prices and various macroeconomic and financial variables. We then evaluate the roles played by a variety of global shocks, including shocks to interest rates, monetary policy, productivity, credit, and uncertainty, in explaining house price fluctuations using a wide range of FAVAR models. We find that house prices are synchronized across countries, and the degree of synchronization has increased over time. Global interest rate shocks tend to have a significant negative effect on global house prices whereas global monetary policy shocks per se do not appear to have a sizeable impact. Interestingly, uncertainty shocks seem to be important in explaining fluctuations in global house prices.",162.0,https://www.elibrary.imf.org/downloadpdf/journals/001/2013/038/001.2013.issue-038-en.xml49doi_10_1016_j_physbeh_2004_04_021,10.1016/j.physbeh.2004.04.021,Is susceptibility to weight gain characterized by homeostatic or hedonic risk factors for overconsumption?,2004,Physiology & Behavior,John E Blundell; Graham Finlayson,,159.0,50doi_10_1016_0094_1190_78_90016_5,10.1016/0094-1190(78)90016-5,"Residential choice, hedonic prices, and the demand for urban air quality",1978,Journal of Urban Economics,Jon P. Nelson,,153.0,511bd296bedf90b0d72a48d93bd1ee05d864382a5b,10.1016/j.jue.2021.103356,Short-term rentals and the housing market: Quasi-experimental evidence from Airbnb in Los Angeles,2018,Journal of Urban Economics,H. Koster; J. V. van Ommeren; Nicolas Volkhausen,Online short-term housing rental platforms such as Airbnb have grown spectacularly in recent years. 18 out 88 cities in Los Angeles County have severely restricted short-term rentals by adopting Home Sharing Ordinances. We apply a panel regression-discontinuity design around the cities' borders. Ordinances reduced listings by 50% and residential property prices by 3%. Difference-in-difference estimates show that rents also decreased by 3%. These estimates imply large effects of Airbnb on property values in areas attractive to tourists (e.g. by 14% within 5km of Downtown LA).,151.0,https://www.sciencedirect.com/science/article/pii/S0094119021000383/pdf520c461716bc4fc8c0e7d989d4bbaef8240039c213,10.1080/00420980500060210,The Introduction of Price Signals into Land Use Planning Decision-making: A Proposal,2004,,P. Cheshire; S. Sheppard,"Although directed to the British system of town and country planning this paper has relevance for many OECD countries, including some with systems of land use regulation which evolved entirely independently of the British. The paper starts by characterising the basic features of the British land use planning system, viewed from the resource allocation point of view of an economist. A conclusion is that the system explicitly excludes any use of price signals from its decisions. The paper then summarises the problems to which the exclusion of price information has given rise. Because the UK planning system has deliberately constrained the supply of space, and space is an attribute of housing which is income elastic in demand, rising incomes not only drive rising real house prices but also mean that land prices have risen considerably faster than house prices. Several housing attributes other than garden space are to a degree substitutes for land but the underlying cause of the inelastic supply of housing in the UK is the constraint on land supply. The final section proposes a mechanism which would make use of the information embodied in the price premiums of neighbouring parcels of l",141.0,http://eprints.lse.ac.uk/568/1/Price_Signals_Planning_DecisionsSept6.pdf53doi_10_1016_j_geoforum_2006_10_002,10.1016/j.geoforum.2006.10.002,Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou,2007,Geoforum,C.Y. Jim; Wendy Y. Chen,,138.0,540576e0b28cb69e2becb32cc79dcb9b1b00da49a5,10.1007/bf01258322,Residential property values in a multinodal urban area: New evidence on the implicit price of location,1993,,P. Waddell; B. Berry; I. Hoch,,137.0,55doi_10_1002_jclp_20327,10.1002/jclp.20327,Measuring hedonic capacity in depression: A psychometric analysis of three anhedonia scales,2006,Journal of Clinical Psychology,Adam M. Leventhal; Gregory S. Chasson; Evelina Tapia; Elizabeth K. Miller; Jeremy W. Pettit,,136.0,56doi_10_1016_0094_1190_81_90048_6,10.1016/0094-1190(81)90048-6,An alternative test of the hedonic theory of housing markets,1981,Journal of Urban Economics,Bryan Ellickson,,136.0,57doi_10_2307_3146079,10.2307/3146079,The Specification of Hedonic Indexes for Urban Housing,1982,Land Economics,Richard V. Butler,,134.0,58doi_10_1016_0094_1190_82_90016_x,10.1016/0094-1190(82)90016-x,"Permanent income, hedonic prices, and demand for housing: New evidence",1982,Journal of Urban Economics,Allen C. Goodman; Masahiro Kawai,,132.0,59doi_10_1073_pnas_171320798,10.1073/pnas.171320798,Attributes of γδ intraepithelial lymphocytes as suggested by their transcriptional profile,2001,Proceedings of the National Academy of Sciences,Aude M. Fahrer; Yves Konigshofer; Elizabeth M. Kerr; Ghassan Ghandour; David H. Mack; Mark M. Davis; Yueh-hsiu Chien,"γδ T lymphocytes in the intestinal intraepithelial layer (γδ IELs) are thought to contribute to immune competence, but their actual function remains poorly understood. Here we used DNA microarrays to study the gene expression profile of γδ IELs in a Yersinia infection system to better define their roles. To validate this approach, mesenteric lymph node CD8 + αβ T cells were similarly analyzed. The transcription profiles show that, whereas lymph node CD8 + αβ T cells must be activated to become cytotoxic effectors, γδ IELs are constitutively activated and appear to use different signaling cascades. Our data suggest that γδ IELs may respond efficiently to a broad range of pathological situations irrespective of their diverse T cell antigen receptor repertoire. γδ IELs may modulate local immune responses and participate in intestinal lipid metabolism, cholesterol homeostasis, and physiology. This study provides a strong basis for further investigations of the roles of these cells as well as mucosal immune defense in general.",131.0,6015bb4feffbf1a6725234c8865e3dec84f429f4be,10.1016/j.cities.2019.102433,"Amenity effects of urban facilities on housing prices in China: Accessibility, scarcity, and urban spaces",2020,,Feng-Lin Yuan; Y. Wei; Jia-Wei Wu,"Abstract Housing values are heavily influenced by urban facilities. However, the amenity effects of urban facilities have not been fully assessed, and their spatial heterogeneity has largely been neglected. Taking Nanjing as an example, this study adopts a synthetic approach that considers scarcity, accessibility, and submarkets, and highlights the influence of the idiosyncratic characteristics of urban facilities and heterogeneous urban spaces on housing prices. We divide urban facilities into two categories based on scarcity: irreplaceable and replaceable facilities. We find that the influence of urban facilities differs among different categories and submarkets, and the influence of irreplaceable facilities is highly dependent on accessibility in all submarkets, while that of replaceable facilities relies on both the accessibility and scarcity of those facilities. This study contributes to our understanding of the importance of and differences among the effects of various public facilities on property values in the intra-urban environment.",129.0,6195d0bc618be76dff286a645c03dbf8aed8f05514,10.1007/s11146-015-9513-4,How Much Is a Good School Worth in Beijing? Identifying Price Premium with Paired Resale and Rental Data,2016,,Si-Qi Zheng; Wanyang Hu; Rui Wang,,123.0,621b545b4d8aaf1533c3203f1f46187202d33711d6,10.1177/1078087418824672,Upzoning Chicago: Impacts of a Zoning Reform on Property Values and Housing Construction,2020,Urban Affairs Review,Y. Freemark,"What are the local-level impacts of zoning change? I study recent Chicago upzonings that increased allowed densities and reduced parking requirements in a manner exogenous of development plans and neighborhood characteristics. To evaluate outcomes, I use difference-in-differences tests on property transaction prices and housing-unit construction permits. I detect significant, robust increases in values for transactions on parcels that received a boost in allowed building size. I also identify value increases for residential condominiums, indicating that upzoning increased prices of existing housing units. I find no impacts of the reforms, however, on the number of newly permitted dwellings over five years. As such, I demonstrate that the short-term, local-level impacts of upzoning are higher property prices but no additional new housing construction.",117.0,632028361ae9b8e92b627ccd8b2ff37b727365d8b8,10.1017/s1074070800020952,"Neighborhood Parks and Residential Property Values in Greenville, South Carolina",2001,Journal of Agricultural and Applied Economics,M. Espey; K. Owusu-Edusei,"Abstract The effect on housing prices of proximity to different types of parks is estimated using a unique data set of single-family homes sold between 1990 and 1999 in Greenville, South Carolina. While the value of park proximity is found to vary with respect to park size and amenities, the estimates from this study are larger than previous studies. The greatest impact on housing values was found with proximity to small neighborhood parks, with the positive impact of proximity to both small and medium-size parks extending to homes as far as 1500 feet from the park.",116.0,https://ageconsearch.umn.edu/record/15446/files/33030487.pdf64doi_10_1193_1_1649937,10.1193/1.1649937,Probabilistic Benefit‐Cost Analysis for Earthquake Damage Mitigation: Evaluating Measures for Apartment Houses in Turkey,2004,Earthquake Spectra,Andrew W. Smyth; Gülay Altay; George Deodatis; Mustafa Erdik; Guillermo Franco; Polat Gülkan; Howard Kunreuther; Hilmi Luş; Esra Mete; Nano Seeber; özal Yüzügüllü,"In the wake of the 1999 earthquake destruction in Turkey, the urgent need has arisen to evaluate the benefits of loss mitigation measures that could be undertaken to strengthen the existing housing stock. In this study, a benefit‐cost analysis methodology is introduced for the comparative evaluation of several seismic retrofitting measures applied to a representative apartment building located in Istanbul. The analysis is performed probabilistically through the development of fragility curves of the structure in its different retrofitted configurations. By incorporating the probabilistic seismic hazard for the region, expected direct losses can be estimated for arbitrary time horizons. By establishing realistic cost estimates of the retrofitting schemes and costs of direct losses, one can then estimate the net present value of the various retrofitting measures. The analysis in this work implies that, even when considering only direct losses, all of the retrofitting measures considered are desirable for all but the very shortest time horizons. This conclusion is valid for a wide range of estimates regarding costs of mitigation, discount rates, number of fatalities, and cost of human",113.0,65doi_10_2307_1923985,10.2307/1923985,Hedonic Estimation of Housing Market Prices: A Further Comment,1974,The Review of Economics and Statistics,Mahlon Straszheim,,101.0,6620437568aecca529f58208cd152c7aca1dbc230f,10.1016/j.cities.2019.102577,"Human capital, housing prices, and regional economic development: Will “vying for talent” through policy succeed?",2020,,Zhen-Shan Yang; Ying-Hao Pan,"Abstract This study examines the dynamic agglomeration economies through matching channel between human capital agglomeration, regional economic development, and housing prices. Using data from 31 Chinese provinces from 1999 to 2015, it employs a panel vector auto regression model to study the interactive relationships among these factors. Overall, the results show that human capital agglomeration has a positive long-term influence on housing prices and economic development, and has become a determinant of regional economic growth. Housing prices have a negative long-term influence on economic development. However, human capital accumulation responds positively to housing price in regions other than municipalities. These findings suggest that vie for talent through housing policy might not be effective in underdeveloped regions and could lead to misallocation of government fiscal resources.",99.0,67doi_10_1006_jhec_1998_0225,10.1006/jhec.1998.0225,The Determinants of Urban House Price Fluctuations in Sweden 1968–1994,1998,Journal of Housing Economics,Katinka Hort,,97.0,68doi_10_1093_aje_153_1_42,10.1093/aje/153.1.42,Case-Control Study on Lung Cancer and Residential Radon in Western Germany,2001,American Journal of Epidemiology,Lothar Kreienbrock; Michaela Kreuzer; Michael Gerken; Gerlinde Dingerkus; Jürgen Wellmann; Gert Keller; H. Erich Wichmann,"Abstract In a 1990–1996 case-control study in western Germany, the authors investigated lung cancer risk due to exposure to residential radon. Confirmed lung cancer cases from hospitals and a random sample of community controls were interviewed by trained interviewers regarding different risk factors. For 1 year, alpha track detectors were placed in dwellings to measure radon gas concentrations. The evaluation included 1,449 cases and 2,297 controls recruited from the entire study area and a subsample of 365 cases and 595 controls from radon-prone areas of the basic study region. Rate ratios were estimated by using conditional logistic regression adjusted for smoking and for asbestos exposure. In the entire study area, no rate ratios different from 1.0 were found; in the radon-prone areas, the adjusted rate ratios for exposure in the present dwelling were 1.59 (95% confidence interval (CI): 1.08, 2.27), 1.93 (95% CI: 1.19, 3.13), and 1.93 (95% CI: 0.99, 3.77) for 50–80, 80–140, and >140 Bq/m3, respectively, compared with 0–50 Bq/m3. The excess rate ratio for an increase of 100 Bq/m3 was 0.13 (−0.12 to 0.46). An analysis based on cumulative exposure produced similar results. ",95.0,69doi_10_1016_0094_1190_82_90078_x,10.1016/0094-1190(82)90078-x,An alternative approach to housing market segmentation using hedonic price data,1982,Journal of Urban Economics,David Dale-Johnson,,95.0,701509ad55dc2d4ef3b8195f43dae5eac5d4c0ace6,10.1177/0013916509334564,Hazard Proximity or Risk Perception? Evaluating Effects of Natural and Technological Hazards on Housing Values,2010,,Yang Zhang; S. Hwang; M. Lindell,,94.0,71doi_10_3846_1648_715x_2009_13_319_338,10.3846/1648-715x.2009.13.319-338,MULTICRITERIA EVALUATION OF APARTMENT BLOCKS MAINTENANCE CONTRACTORS: LITHUANIAN CASE STUDY,2009,International Journal of Strategic Property Management,Edmundas Kazimieras Zavadskas; Artūras Kaklauskas; Tatjana Vilutienė,"The paper presents the comparative analysis of dwelling maintenance contractors aimed at determining the degree of their utility for users and bidding price of services by applying the method of multicriteria complex proportional assessment. To compare the performance of various maintenance contractors, the data from 15 dwelling maintenance organizations was used. A questionnaire survey of dwelling owners was conducted. Contractors were evaluated by a set of 44 criteria characterizing them from various perspectives. The analysis was made taking into account the standpoints of building owners (clients). The initial weights of qualitative criteria were calculated by expert methods. Then they were coordinated with the calculated values of quantitative criteria using the method of multicriteria complex proportional assessment. Multicriteria analysis of the performance of maintenance contractors allows us to determine the importance of particular contractor characteristics for achieving the aim to meet the needs of different participants of the maintenance process. Santruka Straipsnyje pateikta daugiabučius namus administruojančiu imoniu lyginamoji analize. Tyrimo tikslas — nustatyti da",91.0,7216a455e8a0d3dfee552c4804b15c0a7eaf5424d8,10.1016/j.landusepol.2022.106183,A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in Istanbul,2022,Land Use Policy,S. Sisman; A. Aydinoglu,,90.0,73doi_10_1068_b12825t,10.1068/b12825t,"Gated Housing Estates in the Arab World: Case Studies in Lebanon and Riyadh, Saudi Arabia",2002,Environment and Planning B: Planning and Design,Georg Glasze; Abdallah Alkhayyal,"The authors analyze the cultural, economic, and political background of new gated housing estates in the Arab world with the aid of case studies in Lebanon and Riyadh. Their question is to what extent these developments represent a reappearance of the fragmented settlement patterns in many of the old towns. On the one hand, new compounds of several villas and common facilities housing extended families in Riyadh may be interpreted as a revival of certain sociospatial settings in the old town, in which extended families often shared a common courtyard. The compounds for Western foreigners in Saudi Arabia follow the principle of spatial seclusion of social groups with different cultural and religious backgrounds—a principle of the sociospatial organization of many old towns in the Arab world. The emergence of gated housing estates in Lebanon, on the other hand, has obvious and specific sociopolitical origins in the 20th century. The failure of public regimentation and provision created a gap, which was partially filled by the private sector. For their mostly wealthy clientele, gated housing estates offer private small-scale solutions to nationwide problems.",89.0,741b30433b8928ba3de190c1ab8ade1d974af466b2,10.1109/access.2021.3071306,Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism,2021,IEEE Access,Pei-Ying Wang; Chiao-Ting Chen; Jain-Wun Su; Ting-Wei Wang; Szu-Hao Huang,"House price prediction is a popular topic, and research teams are increasingly performing related studies by using deep learning or machine learning models. However, because some studies have not considered comprehensive information that affects house prices, prediction results are not always sufficiently precise. Therefore, we propose an end to end joint self-attention model for house prediction. In this model, we import data on public facilities such as parks, schools, and mass rapid transit stations to represent the availability of amenities, and we use satellite maps to analyze the environment surrounding houses. We adopt attention mechanisms, which are widely used in image, speech, and translation tasks, to identify crucial features that are considered by prospective house buyers. The model can automatically assign weights when given transaction data. Our proposed model differs from self-attention models because it considers the interaction between two different features to learn the complicated relationship between features in order to increase prediction precision. We conduct experiments to demonstrate the performance of the model. Experimental data include actual selling pr",88.0,https://ieeexplore.ieee.org/ielx7/6287639/9312710/09395585.pdf75doi_10_1080_0042098984961,10.1080/0042098984961,Noise versus Access: The Impact of an Airport in an Urban Property Market,1998,Urban Studies,J. Tomkins; N. Topham; J. Twomey; R. Ward,"The effects of a major airport are unlikely to exhibit a uniform spatial distribution. The benefits to industries and individual households may extend well beyond the local economy, whereas many of the costs are spatially concentrated in the immediate environment. In particular, the problems of noise and traffic generation can be expected to fall principally upon adjacent populations. This paper addresses the general question of whether the costs to local economies of airport proximity, which are in the nature of externalities, outweigh the benefits of access, employment and improved infrastructure. Based on data relating to Manchester airport and its surrounding areas, the specific approach adopted in the paper involves an investigation of the extent to which such proximity effects are capitalised into residential property prices. Our results provide some evidence to suggest that circumstances may exist where positive attributes, such as improved access and employment opportunities, may be more highly valued by local residents than the negative externality effects of airport proximity.",88.0,761249c6f38f5114fcf981832979bc91d28a74f1b8,10.3390/ijgi9020106,"Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data - A Case Study of Shanghai, China",2020,ISPRS Int. J. Geo Inf.,Liu-Jia Chen; Xiaojing Yao; Yalan Liu; Yujiao Zhu; Wei Chen; Xi-Zhi Zhao; Tianhe Chi,"Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited by the interpretability of the machine learning model, existing studies cannot fully excavate the complex nonlinear relationships between housing prices and environmental elements, as well as the spatial variations of impacts of urban environmental elements on housing prices. This study explored the impacts of urban environmental elements on residential housing prices based on multisource data in Shanghai. A SHapley Additive exPlanations (SHAP) method was introduced to explain the impacts of urban environmental elements on housing prices. By combining the ensemble learning model and SHAP, the contributions of environmental characteristics derived from street view data and remote sensing data were computed and mapped. The experimental results show that all the urban environmental characteristics account for 16 percent of housing prices in Shanghai. The relationships between housing prices and two green characteristics (green view inde",85.0,https://www.mdpi.com/2220-9964/9/2/106/pdf?version=158276490377854af7f74b252934e128c8fe799c99aced84fc17,10.1016/j.jtrangeo.2019.102488,"The effect of new metro stations on local land use and housing prices: The case of Wuhan, China",2019,Journal of Transport Geography,Rong-Hui Tan; Qingsong He; Ke-Hao Zhou; Peng Xie,"The metro system is an important means of transportation for urban residents in mega-cities in China, where not all families can afford an automobile and there are policy restrictions on private cars. Numerous empirical studies have investigated the implicit prices of metro stations in China. However, few have systematically examined the influence of the proximity of a metro station on housing prices. More importantly, the potential endogeneity of metro station placement is always neglected, which means that the validity of the reported causal effects of the distance to the metro station on housing prices must be questioned. To investigate whether households value being close to a metro station because closeness generates fundamentally positive externalities, we analyze the main changes in land use around metro stations before and after new metro lines are built, based on high-resolution images of Wuhan in China provided by Google Earth. The results suggest that the opening of new metro stations revitalizes land around suburban stations more than it does around central stations. However, the area around central stations exhibits a greater population increase than does the area surr",85.0,7808b28a05e269a669c6d39bf4b617d0f334cca8e4,10.1016/j.aap.2015.08.013,Multilevel models for evaluating the risk of pedestrian-motor vehicle collisions at intersections and mid-blocks,2015,Accident Analysis and Prevention,D. A. Quistberg; E. Howard; Beth E. Ebel; A. Moudon; B. Saelens; P. Hurvitz; James E. Curtin; F. Rivara,"Walking is a popular form of physical activity associated with clear health benefits. Promoting safe walking for pedestrians requires evaluating the risk of pedestrian-motor vehicle collisions at specific roadway locations in order to identify where road improvements and other interventions may be needed. The objective of this analysis was to estimate the risk of pedestrian collisions at intersections and mid-blocks in Seattle, WA. The study used 2007-2013 pedestrian-motor vehicle collision data from police reports and detailed characteristics of the microenvironment and macroenvironment at intersection and mid-block locations. The primary outcome was the number of pedestrian-motor vehicle collisions over time at each location (incident rate ratio [IRR] and 95% confidence interval [95% CI]). Multilevel mixed effects Poisson models accounted for correlation within and between locations and census blocks over time. Analysis accounted for pedestrian and vehicle activity (e.g., residential density and road classification). In the final multivariable model, intersections with 4 segments or 5 or more segments had higher pedestrian collision rates compared to mid-blocks. Non-residential r",84.0,https://www.ncbi.nlm.nih.gov/pmc/articles/4598311790ce1ea17f4849c93f95f8b60de352546acba4e94,10.5198/jtlu.2018.1110,Measuring transit-oriented development (TOD) network complementarity based on TOD node typology,2018,,Runjie Huang; Ab Anna Grigolon; Mafalda Madureira; M. Brussel,"Recent research on the assessment of transit-oriented development (TOD) has focused on individual transit nodes. However, we argue that having such a TOD level value is not sufficient to understand the role each transit node plays within a TOD network. In other words, a transit node may have a low performance when evaluating its individual TOD level, but it may serve an important role within the TOD network, for example, as a feeder node. In this paper, a TOD typology was developed based on built-form indicators to identify the roles different types of nodes play within the transit network and to discuss complementarity effects between TOD nodes within the TOD network. The study area is the Arnhem-Nijmegen city region in the Netherlands, which has a TOD network of 22 train stations. Results identified three types of roles: suburban residential, characterized by low population and job densities; urban residential, marked by low destination accessibility and low diversity of land-uses; and urban mixed core, which featured higher densities of jobs, population, and diversity of land uses. Based on the TOD typology, a correspondence analysis was conducted to measure the potential comple",84.0,https://www.jtlu.org/index.php/jtlu/article/download/1110/101680012dc6baf630c1bff461f3b82a8a508837125d09,10.1016/j.jbankfin.2010.08.006,Fiscal Policy and Financial Market Movements,2010,Social Science Research Network,Athanasios O. Tagkalakis,"This paper estimates fiscal policy reaction function in order to investigate the links between financial market movements and fiscal policy outcomes. An increase in asset prices affects in a positive and significant manner primary balances, with the response reflecting both an increase in government revenues and a fall in government spending. The most important impact on fiscal balances is due to changes in residential property prices. Changes in equity and commercial property prices are also important determinants of fiscal balances. Our findings suggest that the steepening of the slope of the yield curve contributes to expenditure based fiscal discipline.",84.0,https://doi.org/10.2139/ssrn.41668348100e6e4b24732585d9c0029cb6e8e2708b639e5cf,10.1371/journal.pone.0292281,"Comparison of two area-level socioeconomic deprivation indices: Implications for public health research, practice, and policy",2023,PLoS ONE,Kimberly A. Rollings; Grace A. Noppert; Jennifer J. Griggs; Robert A. Melendez; Philippa J. Clarke,"Objectives To compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI). Methods Index agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed. Results Index correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0–1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified. Conclusions Differences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operat",83.0,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292281&type=printable82doi_10_1006_juec_1997_2076,10.1006/juec.1997.2076,Residential Hedonic Models: A Rational Expectations Approach to Age Effects,1998,Journal of Urban Economics,John M. Clapp; Carmelo Giaccotto,,82.0,83901384212a5df697d2baa9b6c59ee01d6dfd54d6,10.1111/j.0033-0124.1981.00216.x,THE EFFECT OF ENVIRONMENTAL AMENITIES ON HOUSE VALUES: THE EXAMPLE OF A VIEW LOT,1981,,Q. Gillard,,79.0,840620a92d733d843cb406fd3593e0a1a42dfd2130,10.3390/ijerph17072349,An Assessment of Urban Park Access Using House-Level Data in Urban China: Through the Lens of Social Equity,2020,International Journal of Environmental Research and Public Health,Siqi Yu; Xi-Gang Zhu; Qian He,"The various benefits of urban green space are gaining increasing attention nowadays. Hence, the distribution of green space has become a scrutinized concern for spatial equity among local governments and the planning scholars. This study is the first quantitative evaluation of urban park accessibility using house-level data in urban China, from the perspective of social equity. We chose Nanjing as the empirical case and examined 2709 real estate units and 79 parks within the city. Accessibility is measured by the 10-min walking distance from homes to the adjacent urban parks. Using the Street Network Analysis model in ArcGIS and the statistical methods in SPSS, the result shows that 60.5% of the real estates in Nanjing are located within a 10-min walk to access urban parks. However, this accessibility is positively correlated with housing prices, and negatively correlated with the age of the buildings, holding all other factors constant. While affluent homeowners capture a high-quality green amenity, newly-built low-income communities, where most residents are classified as a vulnerable population, have the lowest percentage of accessible green space. This study reveals the existin",78.0,https://www.mdpi.com/1660-4601/17/7/2349/pdf?version=1585634319850ba44906d6b306d06dd23133e2ba737730676650,10.1016/j.cities.2017.01.006,How does housing price affect consumption in China: Wealth effect or substitution effect?,2017,,Zhaoyingzi Dong; E. Hui; Sheng-Hua Jia,"Abstract This study investigates the asymmetric effects of housing price on consumption in 35 major Chinese cities, having regard to heterogeneity of the housing and financial markets. Unlike previous studies, this study employs the threshold regression model in analyzing the two important effects: namely wealth effect and substitution effect. The findings suggest that both markets (and their status) are vital to explain the linkage between housing price and consumption. In particular, for the regime where the housing price-to-income ratio is below 5.0882 and the indicator of financial development is above 1.8827, the wealth effect is significant. By contrast, for the regime where the housing price-to-income ratio lies between 5.0882 and 5.9625, the substitution effect will become dominant. This study provides a better understanding of the thresholds and transmission channels through which housing price affects consumption. That is largely ignored in the existing literature. On the other hand, the study offers meaningful implications for policy makers in formulating relevant measures that transfers housing wealth into consumption, with a view to developing a healthier and more stab",78.0,http://ira.lib.polyu.edu.hk/bitstream/10397/103458/1/Hui_How_Does_Housing.pdf86doi_10_1068_a170503,10.1068/a170503,The Urban Rent Question,1985,Environment and Planning A: Economy and Space,M Ball,"Urban land rent theory has both fascinated and repelled researchers. The fascination stems from the idea that rent holds the key to urban spatial structures and distributional conflicts. The repulsion is based on bemusement at the complexity and jargon of the rent literature and rejection of rent's assumed centrality. In this paper the author surveys the urban rent literature and presents an alternative interpretation of the role of urban rent. It is suggested that the ambiguous theoretical status of urban land rent stems from an overemphasis in the rent literature on the distributional implications of rent mechanisms at the expense of their potential influence on the social relations of building provision. The neoclassical economics model of urban rent and land use is critically evaluated and the extensive attempts to apply Marx's theory of rent to the urban situation are questioned. The ability to revive Marxist urban rent theory through the treatment of rent as a component of structures of building provision is then elaborated by reference to housing provision and office development. When placed in such a historical context, it is suggested, rent takes on a more meaningful, if l",77.0,87doi_10_1016_j_ecolecon_2008_09_011,10.1016/j.ecolecon.2008.09.011,"Does clean air matter in developing countries' megacities? A hedonic price analysis of the Jakarta housing market, Indonesia",2009,Ecological Economics,Arief Anshory Yusuf; Budy P. Resosudarmo,,76.0,88doi_10_1079_bjn2003942,10.1079/bjn2003942,The cannabinoid system: a role in both the homeostatic and hedonic control of eating?,2003,British Journal of Nutrition,Joanne A. Harrold; Gareth Williams,"Knowledge of the cannabinoid system and its components has expanded greatly over the past decade. There is increasing evidence for its role in the regulation of food intake and appetite. Cannabinoid system activity in the hypothalamus is thought to contribute to the homeostatic regulation of energy balance, under the control of the hormone leptin. A second component of cannabinoid-mediated food intake appears to involve reward pathways and the hedonic aspect of eating. With the cannabinoid system contributing to both regulatory pathways, it presents an attractive therapeutic target for the treatment of both obesity and eating disorders.",75.0,89doi_10_1080_00420988720080331,10.1080/00420988720080331,Spatial Variation in the Price of Housing: Rent Gradients in Non-Monocentric Cities,1987,Urban Studies,Robin A. Dubin; Chein-Hsing Sung,,75.0,901290b9300571d2360e56d23c207f1ef7ee541b02,10.1080/00036840701522861,Determinants of housing price volatility in Canada: a dynamic analysis,2009,,B. Hossain; E. Latif,,74.0,91f24837363a4cdb8a9bdab8c762d4952f06fb1a77,10.1007/s101820400173,Hedonic price indices for the Paris housing market,2004,,R. Maurer; M. Pitzer; Steffen P. Sebastian,,72.0,https://epub.uni-regensburg.de/5817/1/pup2004_Mau_Pit_Seb.pdf92https://openalex.org/W2892752814,10.1016/j.habitatint.2018.09.002,The value of a south-facing orientation: A hedonic pricing analysis of the Shanghai housing market,2018,Habitat International,Jiajun Lu,,71.0,93doi_10_2307_3145138,10.2307/3145138,A Hedonic Model of Prices and Assessments for Single-Family Homes: Does the Assessor Follow the Market or the Market Follow the Assessor?,1975,Land Economics,Brian J. L. Berry; Robert S. Bednarz,,70.0,940d6170622fea22e550ad06a5b91535f61513c81f,10.1007/s11135-009-9296-x,Determinants of house prices in Istanbul: a quantile regression approach,2011,,Çağlayan Ebru; A. Eban,,70.0,95doi_10_1111_j_1464_0597_2008_00360_x,10.1111/j.1464-0597.2008.00360.x,From Homeostatic to Hedonic Theories of Eating: Self‐Regulatory Failure in Food‐Rich Environments,2008,Applied Psychology,Wolfgang Stroebe; Esther K. Papies; Henk Aarts,"Psychological theories of weight regulation are based on homeostatic feedback assumptions. They mostly attribute the cause of overweight and obesity to lowered sensitivity to internal hunger and satiety cues. Based on the assumption that human food consumption in food‐rich environments is increasingly driven by pleasure rather than need for calories, a goal conflict theory of hedonic eating is presented. This theory is not only supported by the outcome of our own research programme but can also account for findings of the research conducted in the context of other psychological theories. Some implications for weight loss strategies are discussed. Les théories psychologiques sur la régulation du poids sont basées sur des hypothèses d’une rétroaction homéostasique. Elles attribuent généralement la cause de la surcharge pondérale et de l’obésitéà une sensibilité interne amoindrie à la faim et aux indicateurs de satiété. Reposant sur l’hypothèse que la consommation alimentaire humaine dans des environnements riches en nourriture est de plus en plus guidée par le plaisir plutôt que par le besoin de calories, une théorie “goal conflict theory of hedonic eating” est présentée. Cette théor",69.0,9607eda75ca316b4e9eac3dc5dd37c2cdeda051629,10.1016/j.jdeveco.2019.102381,Valuing the urban hukou in China: Evidence from a regression discontinuity design for housing prices,2019,Journal of Development Economics,Yu Chen; Shaobin Shi; Yu-Gang Tang,"This paper explores the demand side of hukou (household registration) acquisition in China by estimating the market valuation of urban hukou. According to the provisions in Jinan City’s “Acquiring Hukou by Purchasing Houses” policy, this paper uses houses slightly larger than the minimum required floor area as the treatment group, and houses slightly smaller than the minimum required floor area as the control group to perform regression discontinuity design. Empirical results show that residents’ willingness to pay for urban hukou in Jinan City was between approximately 90,000 and 126,000 yuan (RMB) in 2017. Our finding is robust to both parametric and nonparametric estimates and different model specifications. We also perform falsification tests by assuming a false policy introduction date and placebo tests based on rental data. Our analysis also offers insights for reform of the hukou system and designs for the provision of public services or welfare.",69.0,971c44da66b46d89d6151ecf2e8a3002438f84dc71,10.1162/rest_a_00779,Place-Based Policies and the Housing Market,2019,Review of Economics and Statistics,H. Koster; J. V. van Ommeren,"Abstract We study the economic effects of place-based policies in the housing market, by investigating the effects of a place-based program on prices of surrounding owner-occupied properties. The program improved the quality of public housing in 83 impoverished neighborhoods throughout the Netherlands. We combine a first-difference approach with a fuzzy regression-discontinuity design to address the fundamental issue that these neighborhoods are endogenously treated. Improvements in public housing induced surrounding housing prices to increase by 3.5%. The program's external benefits are sizable and at least half of the value of investments in public housing.",68.0,https://direct.mit.edu/rest/article-pdf/101/3/400/1916818/rest_a_00779.pdf98doi_10_1080_0042098993015,10.1080/0042098993015,The Entrenchment of Urban Dispersion: Residential Preferences and Location Patterns in the Dispersed City,1999,Urban Studies,Pierre Filion; Trudi Bunting; Keith Warriner,"The paper portrays three aspects of urban dispersion: urban structure, residents' location and land-use preferences, and social ecology. To explain the dynamic inherent in this form of urbanisation, it suggests an explanatory model concentrating on shifts in the respective importance of space, place and proximity associated with the passage from traditional monocentric to dispersed urban form. The paper draws its empirical substance from the Kitchener Census Metropolitan Area, one of the most dispersed metropolitan regions in Canada. The Kitchener case study highlights the defining characteristics of a dispersed urban structure: high automobile dependence, a scattering of origins and destinations, and a resulting absence of pronounced accessibility gradients. The paper also reports the results of a survey which indicates a harmonisation of residents' preferences with the main features of dispersion. The case study ends by mapping the residential location patterns of two groups with a disproportionate influence on new urban development: high income households and families with children. Their concentric distribution is consistent with survey results. In the light of the prevailing t",65.0,9920dd3e477e0e5f33792b85692f8e002c8ebbff9f,10.1109/icimia48430.2020.9074952,Machine Learning based Predicting House Prices using Regression Techniques,2020,International Conference on Innovative Mechanisms for Industry Applications,J. Manasa; Radha Gupta; N. S. Narahari,"Predictive models for determining the sale price of houses in cities like Bengaluru is still remaining as more challenging and tricky task. The sale price of properties in cities like Bengaluru depends on a number of interdependent factors. Key factors that might affect the price include area of the property, location of the property and its amenities. In this research work, an analytical study has been carried out by considering the data set that remains open to the public by illustrating the available housing properties in machine hackathon platform. The data set has nine features. In this study, an attempt has been made to construct a predictive model for evaluating the price based on the factors that affect the price. Modeling explorations apply some regression techniques such as multiple linear regression (Least Squares), Lasso and Ridge regression models, support vector regression, and boosting algorithms such as Extreme Gradient Boost Regression (XG Boost). Such models are used to build a predictive model, and to pick the best performing model by performing a comparative analysis on the predictive errors obtained between these models. Here, the attempt is to construct a pred",63.0,100doi_10_1080_0042098002168,10.1080/0042098002168,"The Geography of Residential Turnover in Twenty-seven Large US Metropolitan Housing Markets, 1985-95",2000,Urban Studies,Frans M. Dieleman; William A. V. Clark; Marinus C. Deurloo,"Previous research on variations in mobility rates across metropolitan areas, documented the link between immigration and local mobility, and the way in which local mobility creates 'hot' and 'cold' housing markets. The research in this paper confirms and extends those analyses by examining the interplay between the relocation process and the structure of metropolitan housing markets. The results show that more than three-quarters of the turnover is generated by renters and most of this by households under 35 years of age. It also shows that variations in mobility rates can be predicted by variations in new construction, though it is clear that ultimately it is the underlying population growth which is the critical variable. House prices also vary across metropolitan areas and are influenced by city size, but the major determinants of variation in house prices are household income (a measure of upward pressure on prices) and the tenure structure of the local market. The results show that turnover per se is at least as important as price in creating opportunities for tenure change and residential relocation.",62.0,101doi_10_1016_j_ddmod_2009_04_002,10.1016/j.ddmod.2009.04.002,Hedonic homeostatic dysregulation as a driver of drug-seeking behavior,2008,Drug Discovery Today: Disease Models,George F. Koob,,62.0,10219d8e53e8f4132ccb14bd30719600eb7c8f3a8d5,10.3390/analytics3010003,An Optimal House Price Prediction Algorithm: XGBoost,2024,Analytics,Hemlata Sharma; Hitesh Harsora; Bayode Ogunleye,"An accurate prediction of house prices is a fundamental requirement for various sectors, including real estate and mortgage lending. It is widely recognized that a property’s value is not solely determined by its physical attributes but is significantly influenced by its surrounding neighborhood. Meeting the diverse housing needs of individuals while balancing budget constraints is a primary concern for real estate developers. To this end, we addressed the house price prediction problem as a regression task and thus employed various machine learning (ML) techniques capable of expressing the significance of independent variables. We made use of the housing dataset of Ames City in Iowa, USA to compare XGBoost, support vector regressor, random forest regressor, multilayer perceptron, and multiple linear regression algorithms for house price prediction. Afterwards, we identified the key factors that influence housing costs. Our results show that XGBoost is the best performing model for house price prediction. Our findings present valuable insights and tools for stakeholders, facilitating more accurate property price estimates and, in turn, enabling more informed decision making to meet",60.0,https://www.mdpi.com/2813-2203/3/1/3/pdf?version=17041721131030346c22135ba3decb16db86b7dd88c4efb6321c7,10.1080/21650020.2019.1704429,"Residential housing prices: impact of housing characteristics, accessibility and neighbouring apartments – a case study of Dortmund, Germany",2020,,D. Wittowsky; J. Hoekveld; Janina Welsch; Michael P. Steier,"ABSTRACT In this research we analyse the most important factors that determine housing prices. On the one hand, we test whether neighbourhoods with a good accessibility are more attractive and consequently show higher housing prices. For this purpose, we introduce an adapted Walk Score as part of the accessibility indicators. On the other hand, we compare an ordinary-least-squares regression (OLS) and a spatial lag model and test which model better explains residential housing prices. The regression models show the importance of classical factors such as dwelling characteristics or the types of neighbours. In addition, they also reveal that a differentiated approach is needed for analysing the accessibility, the location and the environment of a dwelling. The mere presence of a single amenity, a public transport stop or a motorway access is not a sufficient explanatory factor. Information such as density of supply, walking distances or public transport service quality needs to be taken into account as well as. The test of the spatial lag model reveals that prices of the most proximate dwellings can be taken into account as a relevant factor in explaining residential housing prices ",60.0,https://www.tandfonline.com/doi/pdf/10.1080/21650020.2019.1704429?needAccess=true104doi_10_1068_d39j,10.1068/d39j,Social Balance and Mixed Neighbourhoods in Britain since 1979: A Review of Discourse and Practice in Social Housing,2001,Environment and Planning D: Society and Space,Barry Goodchild; Ian Cole,"In Britain, current interest in social balance has arisen partly as a response to increased management difficulties in social housing and partly in response to the concepts of the underclass and social exclusion. Social balance is now endorsed in some, but not all, the relevant urban policy statements of the New Labour government elected in 1997. A modified form of poststructural discourse analysis offers the best way of understanding the term and its implications. The approach focuses on different levels of social reality—the level of a national policy, the level of management and estate upgrading, and the level of the social experience of residents. In doing this, the approach reveals the varied and occasionally contradictory meanings of the term ‘social balance’; it highlights the increasingly common attempts by social housing agencies to control the characteristics of their tenants; and it enables a sceptical assessment of the practical significance of mixed housing estates for poor individuals and households.",60.0,105doi_10_1016_j_jhe_2004_04_004,10.1016/j.jhe.2004.04.004,New empirical evidence on heteroscedasticity in hedonic housing models,2004,Journal of Housing Economics,Simon Stevenson,,60.0,1060763e624f2a028a65213d8b4ac33d05ee698d93f,10.1109/wacv.2017.42,Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery,2016,IEEE Workshop/Winter Conference on Applications of Computer Vision,Archith J. Bency; S. Rallapalli; R. Ganti; M. Srivatsa; B. S. Manjunath,"When modeling geo-spatial data, it is critical to capture spatial correlations for achieving high accuracy. Spatial Auto-Regression (SAR) is a common tool used to model such data, where the spatial contiguity matrix (W) encodes thespatial correlations. However, the efficacy of SAR is limited by two factors. First, it depends on the choice of contiguity matrix, which is typically not learnt from data, but instead, is assumed to be known apriori. Second, it assumes that the observations can be explained by linear models. In this paper, we propose a Convolutional Neural Network (CNN) framework to model geo-spatial data (specifically housing prices), to learn the spatial correlations automatically. We show that neighborhood information embedded in satellite imagery can be leveraged to achieve the desired spatial smoothing. An additional upside of our framework is the relaxation of linear assumption on the data. Specific challenges we tackle while implementing our framework include, (i) how much of the neighborhood is relevant while estimating housing prices? (ii) what is the right approach to capture multiple resolutions of satellite imagery? and (iii) what other data-sources can help ",59.0,https://escholarship.org/content/qt77c0438f/qt77c0438f.pdf?t=owuq6w10703bbc721ab8acc01e0b706f421692cfed86c99be,10.1080/10835547.2004.12091603,A Hierarchical Linear Model Approach for Assessing the Effects of House and Neighborhood Characteristics on Housing Prices,2004,,K. Brown; Bulent Uyar,,56.0,1082e66a8be19a7895a3c7f09c82d1c1a9c5c54d18f,10.1016/j.jhe.2007.12.003,The effect of educational test scores on house prices in a model with spatial dependence,2008,,Norman H. Sedgley; N. Williams; F. W. Derrick,,55.0,10910110e3402c457016ba5cbca0cbda46fa3e8e9bd,10.1111/j.1468-2427.2012.01139.x,"Gated Communities and House Prices: Suburban Change in Southern California, 1980–2008",2012,International Journal of Urban and Regional Research,R. Le Goix; E. Vesselinov,"Housing prices being one factor thought to contribute to segregation patterns, this article aims at differentiating gated communities from non-gated communities in terms of change in property values. To what extent do gated communities contribute to price filtering of residents, and do patterns of price differentiation favor gated communities in the long run? The article provides an analysis of the territorial nature of gated communities and how the private urban-governance realm theoretically sustains the hypothesis that property values within gated communities are better protected. In order to identify price patterns across time, we elaborate a spatial analysis of values (price distance index) by identifying gated communities with real estate listings in 2008 and matching these with historical data at the normalized census-tract level from the 1980, 1990 and 2000 census in the greater Los Angeles region. We conclude that gated communities are very diverse in kind. The wealthier the area, the more it contributes to fuelling price growth, especially in the most highly desired locations in the region. Furthermore, a dual behavior emerges in areas with an over-representation of gated",53.0,https://www.ncbi.nlm.nih.gov/pmc/articles/66824061100f616d2cfd64cac6c483f98218d44735f2829f93,10.1108/ijhma-10-2018-0082,Modelling housing prices and market fundamentals: evidence from the Sydney housing market,2019,International Journal of Housing Markets and Analysis,Md Abdullah Al-Masum; C. Lee,"PurposeHousing prices in Sydney have increased rapidly in the past three decades. This leads to a debate of whether Sydney housing prices have departed from macroeconomic fundamentals. However, little research has been devoted to this area. Therefore, this study aims to fill this gap by examining the long-run association between housing prices and market fundamentals. Further, it also examines the long-run determinants of housing prices in Greater Sydney.Design/methodology/approachThe analysis of this study involves two stages. The first stage is to estimate the presence of long-run relationship between housing prices and market fundamentals with the Johansen and Juselius Cointegration test. Thereafter, the determinants of housing prices in Greater Sydney is assessed by using a vector error correction model.FindingsThe empirical results show that Sydney housing prices are cointegrated with market fundamentals in the long run. In addition, there is evidence to suggest that market fundamentals such as gross disposable income, housing supply, unemployment rate and gross domestic product are the key long-run determinants of Sydney housing prices, reflecting that Sydney housing prices, ",53.0,111ce524372dfdf46587504ee0767b0664b01eee941,10.1016/j.landusepol.2019.104287,Airport noise and house prices: A quasi-experimental design study,2020,,Xian Zheng; Wen-Wei Peng; Mingzhi Hu,"Abstract In this study, we investigate the benefits of reducing airport noise externalities based on a natural quasi-experiment on exogenous variation in aircraft noise from the relocated Hong Kong Kai Tak Airport in 1998. We collect housing transaction data from 1993 to 2006 in residential areas near this airport and employ the difference-in-difference method to measure the capitalization of noise externality into local house prices. Results show that the disappearance of aircraft noise leads to an average 24.43% increase in the prices of houses surrounding the airport. In addition, the influence of airport relocation decreases with the distance to the airport. These results remain consistent across various model specifications. Moreover, the prices of houses near the airport have become on the rise after the airport noise pollution has been eradicated. Our results justify the government compensation for households subjected to airport noise exposure. Quantifying the implicit price of noise pollution also helps to formulate additional appropriate compensation mechanisms and urban planning projects.",53.0,112doi_10_1080_00420989550012492,10.1080/00420989550012492,Spatial Estimation of Housing Prices and Locational Rents,1995,Urban Studies,Jorge Chica Olmo,"This work stems from the widely accepted hypothesis that housing price is determined by two types of characteristic: structural and locational. Under this hypothesis, a methodology is presented for the spatial estimation of housing prices and locational rents: the Iterative Residual Kriging (IRK) method. The methodological aspects are complemented by the presentation of an application of this methodology to the case of housing in Granada, Spain.",52.0,113doi_10_1016_0095_0696_79_90011_1,10.1016/0095-0696(79)90011-1,"Airport noise, location rent, and the market for residential amenities",1979,Journal of Environmental Economics and Management,Jon P Nelson,,52.0,114dcba4c5fcac5270a8ce3be18c57405b47c1560be,10.1016/j.landusepol.2014.05.008,Does the estimated impact of wildfires vary with the housing price distribution? A quantile regression approach,2013,,Julie M. Mueller; J. Loomis,,52.0,1151de3684e2cb1fe490e09160d923566edee9135cc,10.1038/ijo.2013.179,"The geographic distribution of obesity by census tract among 59 767 insured adults in King County, WA",2013,International Journal of Obesity,A. Drewnowski; C. Rehm; David E. Arterburn,"Objective:To evaluate the geographic concentration of adult obesity prevalence by census tract (CT) in King County, WA, in relation to social and economic factors.Methods and design:Measured heights and weights from 59 767 adult men and women enrolled in the Group Health (GH) healthcare system were used to estimate obesity prevalence at the CT level. CT-level measures of socioeconomic status (SES) were median home values of owner-occupied housing units, percent of residents with a college degree and median household incomes, all drawn from the 2000 Census. Spatial regression models were used to assess the relation between CT-level obesity prevalence and socioeconomic variables.Results:Smoothed CT obesity prevalence, obtained using an Empirical Bayes tool, ranged from 16.2–43.7% (a 2.7-fold difference). The spatial pattern of obesity was non-random, showing a concentration in south and southeast King County. In spatial regression models, CT-level home values and college education were more strongly associated with obesity than household incomes. For each additional $100 000 in median home values, CT obesity prevalence was 2.3% lower. The three SES factors together explained 70% of t",51.0,https://www.ncbi.nlm.nih.gov/pmc/articles/3955743116doi_10_1002_jae_929,10.1002/jae.929,Nonparametric estimation of a hedonic price function,2007,Journal of Applied Econometrics,Christopher F. Parmeter; Daniel J. Henderson; Subal C. Kumbhakar,"Abstract Rosen's ( 1974 ) theory of hedonic prices is implemented econometrically using recently developed nonparametric techniques to examine the influence of qualitative factors on the price of a house. Our ability to smooth categorical variables leads to greater generalization in the valuation process and provides a canvas for interactions between categorical and continuous variables that is difficult to exploit in parametric and semiparametric models. This is illustrated with a replication of a previously used partially linear model specification. Copyright © 2007 John Wiley & Sons, Ltd.",51.0,117doi_10_1007_s11146_010_9262_3,10.1007/s11146-010-9262-3,Spatial Variation in the Determinants of House Prices and Apartment Rents in China,2010,The Journal of Real Estate Finance and Economics,Dean M. Hanink; Robert G. Cromley; Avraham Y. Ebenstein,,51.0,118doi_10_1080_09599910110039905,10.1080/09599910110039905,Size and proximity effects of primary schools on surrounding house values,2001,Journal of Property Research,Francois Des Rosiers; Antonio Lagana; Marius Theriault,,51.0,119doi_10_1086_261050,10.1086/261050,The Impact of Proposition 13 on House Prices in Northern California: A Test of the Interjurisdictional Capitalization Hypothesis,1982,Journal of Political Economy,Kenneth T. Rosen,,51.0,12020cf5ab8d1aaf597cd6cd639c46cd1d2c459cde9,10.1007/s10614-020-09973-5,A New Appraisal Model of Second-Hand Housing Prices in China’s First-Tier Cities Based on Machine Learning Algorithms,2020,Computational Economics,Lu-guang Xu; Zhong-Wu Li,,51.0,121dad4ba80b4c400955fc31ccae48cc79956aa6e32,10.1080/09640568.2016.1162138,"Assessing the socio-economic impacts of green/blue space, urban residential and road infrastructure projects in the Confluence (Lyon): a hedonic pricing simulation approach",2017,,P. Roebeling; M. Saraiva; A. Palla; I. Gnecco; C. Teotónio; T. Fidélis; F. Martins; H. Alves; João Rocha,,50.0,https://iris.unige.it/bitstream/11567/844631/5/Roebeling-et-al-JEPM2016.pdf122doi_10_2307_2109351,10.2307/2109351,A Hedonic Approach to Residential Succession,1990,The Review of Economics and Statistics,N. Edward Coulson; Eric W. Bond,,49.0,123doi_10_1023_a_1007729214108,10.1023/a:1007729214108,Price Indices Based on the Hedonic Repeat-Sales Method: Application to the Housing Market,1998,The Journal of Real Estate Finance and Economics,John M. Clapp; Carmelo Giaccotto,,49.0,12420fa5e8d4965f63fe9eb50cccda331289eedd6ff,10.2307/1238121,Measuring the Impacts of Solid Waste Disposal Site Location on Property Values,1971,,J. Havlicek; R. A. Richardson; L. Davies,"T HE large and growing quantity of solid wastes poses an increasingly complex disposal problem for rural and urban areas. One important effect of the location of disposal sites is the external effect on adjacent property values. This paper attempts to estimate external effects on property prices resulting from the location of landfill types of solid waste disposal sites. This has important implications for public policy on site location and possible compensation to internalize the resultant external effects. A single equation linear regression model for price estimation is hypothesized. The data sample is 182 observations of single-unit house sales over the period 1962-1970 in the neighborhoods around five solid waste disposal sites in Fort Wayne, Indiana. Date and price of sale, as well as location of the property and detailed information about dwelling characteristics, were obtained. Three general categories of predetermined variables are used: (1) Physical attributes of residential property-size of house and lot, number of bathrooms and bedrooms, age of house, amount of encumbrance and ownership-tenant occupancy (the key features of the quantity and quality of living service pro",48.0,http://ageconsearch.umn.edu/record/284441125doi_10_1080_0042098975268,10.1080/0042098975268,Government Policies and Private Housing Prices in Singapore,1997,Urban Studies,Sock-Yong Phang; Wing-Keung Wong,"Regression models are used to show that interest rates, income growth rates and the supply of housing have not played a statistically significant role in the determination of private housing prices in Singapore between 1975 and 1994. Instead, private housing prices in Singapore were highly correlated with the prices for public-sector-built housing. Moreover, the timing of government policies relating to the use of compulsory savings for private housing finance purposes, the liberalisation of rules on public housing ownership criterion as well as for housing finance had a significant impact on private housing prices.",48.0,1260b7991418bb92c1ef6096d1b57855d3f0888126b,10.1007/s11293-017-9531-0,Determinants of Housing Prices and Bubble Detection: Evidence from Seven Advanced Economies,2017,,Sofoklis Vogiazas; Constantinos Alexiou,"This paper provides empirical evidence on the relationship between residential property prices and the business cycle for seven advanced Organisation for Economic Co-operation and Development economies over the period 2002–2015 using quarterly data. To this end, panel data and time series methodologies are adopted as a means of providing a contextual framework on the extant relationship. The panel methodological framework explores the interaction between economic fundamentals and financial variables while the use of time series methodologies developed by Phillips et al. (2011 and 2015) provide novel evidence on the detection of property price bubbles that have been manifested in each individual country of the sample. In particular, the short-run dynamic panel framework provides a robust exploratory platform thus, shedding light on the determinants of property prices (i.e. real gross domestic product, bank credit growth, long-term bond yields and real effective exchange rate) whilst the bubble detection methodologies provide evidence of the impact of credit-driven economies on the propagation of housing booms which can serve as warning signals of the potential formation of housing b",47.0,http://dspace.lib.cranfield.ac.uk/handle/1826/1159812707d30a2754393dca5463a806d86300adb5f87ce5,10.2139/ssrn.911328,Housing Supply and Price Adjustment,2006,,A. Grimes; Andrew Aitken,"We analyse two inter-related features of regional housing markets: determinants of new housing supply, and the impact of supply responsiveness on price dynamics. We demonstrate that a suitably specified q-theory model (including residential land values as well as construction costs) explains intended housing starts. Few prior studies have found significant land price effects, due either to their omission or (possibly) to incorrect data definition (use of agricultural rather than residential land values). We examine the interaction of supply responsiveness and price adjustment following demand shocks, using a new panel dataset covering 53 quarters across 73 regions of New Zealand. Regions with high supply responsiveness have relatively small price spikes following demand shocks, consistent with a rational response that limits house price jumps in regions with strong supply responses.",47.0,http://ageconsearch.umn.edu/record/2928731283e6f3f4dd63d35f3aa533ac77718d43d8cb25d95,10.3368/le.90.1.61,Amenity Values versus Land Constraints: The Spatial Effects of Natural Landscape Features on Housing Values,2014,Land Economics,E. Irwin; P. Jeanty; M. Partridge,,47.0,1291b2cb84a8615b503a9f2d8849e01c6238a345e62,10.1177/0042098018800443,Housing career disparities in urban China: A comparison between skilled migrants and locals in Nanjing,2018,Urban studies,C. Cui,"The last two decades have witnessed a substantial growth of the owner-occupied housing sector in urban China, where most people tend to follow a conventional life course in terms of ascending the housing ladder towards homeownership. Yet, with skyrocketing housing prices in the real estate market, fragmentation in housing opportunities has become more important in reshaping the structure of social inequalities. This paper investigates the disparities in housing careers between skilled migrants and their local counterparts in Nanjing, focusing on temporal and spatial aspects. Specifically, this paper examines how skilled migrants’ housing tenure and location change over time, to what extent these changes differ from those of skilled locals, and what factors contribute to the disparities between migrants and locals. The results verify that there are indeed disparities in housing careers between migrants and locals, and the foremost difference lies in the tenure, especially the tenure of the first residence. Spatially, migrants exhibit an outward-bound pattern, often associated with the transition from renting to owning. These disparities in housing careers could be primarily attribut",46.0,130doi_10_1068_b3042,10.1068/b3042,Estimation of the Influence of View Components on High-Rise Apartment Pricing Using a Public Survey and GIS Modeling,2004,Environment and Planning B: Planning and Design,Ian D Bishop; Eckart Lange; Alani Muhammad Mahbubul,"A growing trend towards high-density urban living increases the significance of natural features within the urban fabric. In high-rise living the view is one means of continuing contact with the environment. Using visualizations, public survey techniques, and a geographic information system (GIS), we estimate the effect of parks, water, industry, and high-rise buildings on willingness to pay for views from high-level apartments. With the GIS we determine what will be visible within the view and the proportion of different land uses or structures that make up the view. In order to link the analytical variables to the view values a set of base images is systematically altered in terms of the proportion of water, parks, buildings, and industry present in the scenes. Surveys are conducted to determine the willingness of people to pay for preferred views. The results from a regression analysis show that water and green space have positive coefficients and buildings and industry both have negative coefficients. Particular attention is paid to the influence of distance on the view proportions. Our calculations are compared with empirical results from other studies.",46.0,131doi_10_1080_0042098975754,10.1080/0042098975754,Selecting Suburbia: Residential Relocation to Outer Sydney,1997,Urban Studies,I.H. Burnley; P.A. Murphy; A. Jenner,"In the larger Australian cities, most residential shifts to the outer suburbs, where most population growth takes place, have been regarded as entailing trade-offs between housing accessibility and the availability of local jobs and services. Declining housing affordability, high levels of unemployment and continued centralisation of jobs and services have repoliticised the situation. This paper reports on a sample of some 400 individuals who relocated from inner and middle-ring areas of metropolitan Sydney in the early 1990s. Whilst environmental amenity and housing quality do influence relocation decisions, and movers are socio-demographically diverse, the dominant concern remains housing affordability with movers typically young and shifting from rental to purchasing tenures. Most experienced marked increases in journey-to-work times and saw friends and relatives less after moving. The study reaffirms that whilst the Australian outer city may not be a place of last resort, large numbers still sacrifice a lot to achieve home-ownership there.",46.0,132doi_10_1007_978_0_387_76815_1,10.1007/978-0-387-76815-1,Hedonic Methods in Housing Markets,2008,,,,46.0,133190d8f309e6e68c979ea60a5dbb003b74706d190,10.3390/ijfs4040023,"Oil Prices, Credit Risks in Banking Systems, and Macro-Financial Linkages across GCC Oil Exporters",2016,,Saleh Alodayni,"This paper assesses the effect of the recent 2014–2015 oil price slump on the financial stability in the Gulf Cooperation Council (GCC) region. The first objective of this paper is to assess how oil price shock propagates within the macroeconomy and how the macro shocks transmit to GCC banks’ balance sheets. This part of the paper implements a System Generalized Method of Moments (GMM) and a Panel Fixed Effect Model to estimate the response of nonperforming loans (NPLs) to its macroeconomic determinants. The second objective of this paper is to assess any negative feedback effects between the GCC banking systems and the economy. The paper, therefore, implements a Panel VAR model to explore the macro-financial linkages between GCC banking systems and the real economy. The results indicate that oil price, non-oil GDP, interest rate, stock prices, and housing prices are major determinants of NPLs across GCC banks and the overall financial stability in the region. Credit risk shock tends to propagate disturbances to non-oil GDP, credit growth, and stock prices across GCC economies. A higher level of NPLs restricts banks’ credit growth and can dampen economic growth in these economies. ",45.0,https://www.mdpi.com/2227-7072/4/4/23/pdf?version=14782616571342372736a638b0db866579f88901a6c4fd5900efd,10.1515/remav-2017-0003,Is there a Housing Bubble in Turkey?,2017,,Yener Coskun; Arvydas Jadevicius,"Abstract There was a notable housing price inflation in aggregate/local levels in Turkey during the last few years. Although the country’s economic fundamentals remain strong, the probability of a housing bubble is a heated debate among market participants. This timely investigation brings greater clarity to whether the Turkish housing market is in a bubble. The study uses a multi-strand approach to dissect the bubble over the period of Jan. 2010 - Dec. 2014. First, monthly/annual price-to-income and monthly price-to-rent ratios are examined for the national Turkish as well as regional Istanbul, Izmir and Ankara housing markets. Second, an extended CASE and SHILLER (2003) model is applied assessing the interdependence between housing prices and a series of explanatory variables. Lastly, the Right Tail Augmented Dickey-Fuller (Rtadf) test is performed to support the overall analysis. This study finds that neither affordability ratios nor regression estimates support the existence of the bubble in Turkey.",45.0,https://content.sciendo.com/downloadpdf/journals/remav/25/1/article-p48.pdf135doi_10_1111_j_1467_9671_2008_01109_x,10.1111/j.1467-9671.2008.01109.x,Agent‐Based Simulation of Urban Residential Dynamics and Land Rent Change in a Gentrifying Area of Boston,2008,Transactions in GIS,Jeremy Jackson; Benjamin Forest; Raja Sengupta,"Abstract Certain complex processes are most effectively modeled not on the macro‐scale, but from the bottom‐up, by simulating the decisions of individual entities, or agents. This study uses an agent‐based modeling (ABM) approach to simulate residential dynamics in an area of Boston that has increasingly experienced gentrification in the past decades. The model is instantiated using basic empirical data and uses simple decision‐making rules, differentiated into four classes, to simulate the process of residential dynamics. The model employs the consumption explanation of the cause of gentrification, which emphasizes the choices of individuals drawn to urban amenities, while testing the production explanation, which suggests that major investments from the public and private sphere attract and explain gentrification. Verification shows that the processes in the model work according to its construction, simulates complexity and emergent phenomena, and may be a valuable explanatory tool for understanding and learning about some processes underlying gentrification.",45.0,13600bfecc7b6efdca033a850c011eef8b7197d43b0,10.1109/access.2018.2814065,Predicting House Price With a Memristor-Based Artificial Neural Network,2018,IEEE Access,Jun Wang; S.-G. Hu; Xi-Tong Zhan; Qu Luo; Q. Yu; Zhen Liu; Tu-Pei Chen; You Yin; S. Hosaka; Yong Liu,"Synaptic memristor has attracted much attention for its potential applications in artificial neural networks (ANNs). However useful applications in real life with such memristor-based networks have seldom been reported. In this paper, an ANN based on memristors is designed to learn a multi-variable regression model with a back-propagation algorithm. A weight unit circuit based on memristor, which can be programed as an excitatory synapse or inhibitory synapse, is introduced. The weight of the electronic synapse is determined by the conductance of the memristor, and the current of the synapse follows the charge-dependent relationship. The ANN has the ability to learn from labeled samples and make predictions after online training. As an example, the ANN was used to learn a regression model of the house prices of several Boston towns in the USA and the predicted results are found to be close to the target data.",44.0,https://doi.org/10.1109/access.2018.2814065137doi_10_1068_a33213,10.1068/a33213,Housing Provision under Globalisation: A Case Study of Shanghai,2001,Environment and Planning A: Economy and Space,Fulong Wu,"Housing provision in China has undergone significant changes since economic reform. In the early stage of reform the objective was to solve the problems that are internal to the socialist economy, namely unrecoverable housing investment and housing shortages. The state adopted policies to ‘commodify’ and ‘decentralise’ housing provision. The mode of provision was transformed from a centrally allocated budget to shared investment contributed by state work-units, local governments, and individual households. Since the 1990s Chinese cities have seen increased foreign investment in real estate development and consequently experienced an unprecedented building boom. Little is know about the impacts of globalisation on housing development. The purpose of this paper is to examine the changes in housing investment and to highlight the dilemma of housing ‘commodification’ in the process of globalisation. Specifically, foreign investment contributed to initial capital formation in real estate development and more importantly helped to create a marketised housing segment. The buoyant market price demonstrated the profitability of real estate, thus attracting more capital into housing developm",44.0,138196ea01e8cc6728291e96bbf0320240535ff68f9,10.1109/icait.2019.8935894,Model Research on Forecast of Second-Hand House Price in Chengdu Based on XGboost Algorithm,2019,International Conference on Advanced Infocomm Technology,Zhen Peng; Qiang Huang; Yincheng Han,"In order to better and more accurately study the housing price of second-hand houses, this paper analyzed and studied 35417 pieces of data captured by Chengdu HOME LINK network. Firstly, the captured data were cleaned and the characteristics were selected. Then, multiple linear regression, decision tree and XGboost models were used to fit the predicted housing price score curve for these ten factors, and finally, the optimal prediction model was selected through parameter adjustment. The experimental results show that the accuracy of XGboost prediction is the highest, and the prediction accuracy score reaches 0.9251. Compared with linear regression and decision tree model, XGboost algorithm has better generalization ability and robustness in data prediction, and also prevents overfitting phenomenon, laying a solid foundation for the subsequent second-hand house price prediction.",44.0,1390f8c2ff03bfe168462e97b65aabbad0cb77ccaff,10.3390/su13020442,"Spatial Accessibility to Local Public Services in an Unequal Place: An Analysis from Patterns of Residential Segregation in the Metropolitan Area of Santiago, Chile",2021,Sustainability,Yasna Cortés,"The study of the relationship between the provision of local public services and residential segregation is critical when it might be the social manifestation of spatial income inequality. This paper analyzes how the spatial accessibility to local public services is distributed equitably among different social and economic groups in the Metropolitan Area of Santiago (MR), Chile. To accomplish this objective, I use accessibility measures to local public services such as transportation, public education, healthcare, kindergartens, parks, fire and police stations, cultural infrastructure, and information about housing prices and exempted housing units from local taxes by block, as well as quantile regressions and bivariate Local Indicators of Spatial Association (LISA). The main results confirm the accessibility to local public services is unequally distributed among residents. However, it affects more low-income groups who are suffering from significant deficits in the provision of local public services. In this scenario, poor residents face a double disadvantage due to their social exclusion from urban systems and their limited access to essential services such as education, healthc",43.0,https://www.mdpi.com/2071-1050/13/2/442/pdf?version=16099132171401a32e3b85cd2babeea2bf250605dcaaa578f5530,10.2139/ssrn.3565512,House Price Forecasting Using Machine Learning,2020,Social Science Research Network,Alisha Kuvalekar; Shivani Manchewar; Sidhika Mahadik; Shila Jawale,"The real estate market is a standout amongst the most focused regarding pricing and keeps fluctuating. It is one of the prime fields to apply the ideas of machine learning on how to enhance and foresee the costs with high accuracy. The objective of the paper is the prediction of the market value of a real estate property. This system helps find a starting price for a property based on the geographical variables. By breaking down past market patterns and value ranges, and coming advancements future costs will be anticipated. This examination means to predict house prices in Mumbai city with Decision tree regressor. It will help clients to put resources into a bequest without moving towards a broker. The result of this research proved that the Decision tree regressor gives an accuracy of 89%.",43.0,141doi_10_1080_0042098984150,10.1080/0042098984150,Segregation in Vienna: Impacts of Market Barriers and Rent Regulations,1998,Urban Studies,Rudolf Giffinger,"Market barriers may have an enormous influence on the spatial segregation patterns of immigrant groups. This is specifically the case in Vienna, Austria, where accessibility rules with respect to different segments of the housing stock can be seen as one of the most important factors in explaining the residential patterns of Turks and Yugoslavs. Describing and explaining the patterns of these groups is the central issue in this paper. Conclusions are drawn with a reference to recent economic and social trends and the ongoing deregulation of the housing market.",42.0,142124378e49dbbe86259a0143b4e7ead1831faca2f,10.1007/s11146-021-09861-1,Boosted Tree Ensembles for Artificial Intelligence Based Automated Valuation Models (AI-AVM),2021,Journal of real estate finance and economics,T. Sing; J. Yang; Shi-Ming Yu,"This paper develops an artificial intelligence based automated valuation model (AI-AVM) using the boosting tree ensemble technique to predict housing prices in Singapore. We use more than 300,000 private and public housing transactions in Singapore for the period from 1995 to 2017 in the training of the AI-AVM models. The boosting model is the best predictive model that produce the most robust and accurate predictions for housing prices compared to the decision tree and multiple regression analysis (MRA) models. The boosting AI-AVM models explain 91.33% and 94.28% of the price variances, and keep the mean absolute percentage errors at 8.55% and 5.34% for the public housing market and the private housing market, respectively. When subject the AI-AVM to the out-of-sample forecasting using the 2018 housing sale samples, the prediction errors remain within a narrow range of between 5% and 9%.",41.0,https://link.springer.com/content/pdf/10.1007/s11146-021-09861-1.pdf143603803520bbeb39521e65b1bdf222a3208585e31,10.3368/le.84.4.635,"Intra-Regional Amenities, Wages, and Home Prices: The Role of Forests in the Southwest",2008,Land Economics,M. Hand; J. Thacher; Daniel W. Mccollum; R. P. Berrens,,40.0,http://www.fs.fed.us/rm/pubs_other/rmrs_2008_hand_m002.pdf144doi_10_1136_bmj_325_7371_998,10.1136/bmj.325.7371.998,Prevalence of working smoke alarms in local authority inner city housing: randomised controlled trial,2002,BMJ,Diane Rowland; Carolyn DiGuiseppi; Ian Roberts; Katherine Curtis; Helen Roberts; Laura Ginnelly; Mark Sculpher; Angela Wade,"Abstract Objectives: To identify which type of smoke alarm is most likely to remain working in local authority inner city housing, and to identify an alarm tolerated in households with smokers. Design: Randomised controlled trial. Setting: Two local authority housing estates in inner London. Participants: 2145 households. Intervention: Installation of one of five types of smoke alarm (ionisation sensor with a zinc battery; ionisation sensor with a zinc battery and pause button; ionisation sensor with a lithium battery and pause button; optical sensor with a lithium battery; or optical sensor with a zinc battery). Main outcome measure: Percentage of homes with any working alarm and percentage in which the alarm installed for this study was working after 15 months. Results: 54.4% (1166/2145) of all households and 45.9% (465/1012) of households occupied by smokers had a working smoke alarm. Ionisation sensor, lithium battery, and there being a smoker in the household were independently associated with whether an alarm was working (adjusted odds ratios 2.24 (95% confidence interval 1.75 to 2.87), 2.20 (1.77 to 2.75), and 0.62 (0.52 to 0.74)). The most common reasons for non-function we",39.0,145160b2d5f37d3d6828943306013c36850948f7f4f,10.2139/ssrn.3320979,Ten Years of Evidence: Was Fraud a Force in the Financial Crisis?,2019,Social Science Research Network,John M. Griffin,"This article synthesizes the large literature regarding the role of various players in residential mortgage-backed securities (RMBS) securitization at the center of the 2008–09 US housing and financial crisis. Underwriting banks facilitated wide-scale mortgage fraud by knowingly misreporting key loan characteristics underlying mortgage-backed securities (MBS). Under the cover of complexity, credit rating agencies catered to investment banks by issuing increasingly inflated ratings on both RMBS and collateralized debt obligations (CDOs). Originators who engaged in mortgage fraud gained market share, as did CDO managers who catered to underwriters by accepting the lowest-quality MBS collateral. Appraisal targeting and inflated appraisals were the norm. RMBS and CDO prices indicate that the marginal AAA investor was unaware of pervasive mortgage fraud and ratings inflation, but these factors were strongly related to future deal performance. The supply of fraudulent credit was not uniform, but clustered in certain geographic regions and zip codes. As these dubious originators extended credit to those who could not afford the loans, the credit expansion led to house price booms and subs",39.0,https://doi.org/10.2139/ssrn.3320979146266a9b679b3e122fd65227b7f5f5e657e2a4ff2c,10.3905/jai.2011.13.3.067,The Iconic Boom in Modern Russian Art,2010,The Journal of Alternative Investments,L. Renneboog; C. Spaenjers,"Motivated by the fast growth of personal wealth in emerging economies like Russia, the authors investigate the investment performance of modern Russian art. A hedonic analysis of more than 50,000 art transactions results in a geometric average return of 3.97%, in real USD terms, between 1967 and 2007. The Russian art index shows an impressive annualized return of 12.37% since 1997. This is roughly double the average yearly appreciation of a global art market index over the same period. Art from the nineteenth century has performed especially well. The returns on Russian art correlate positively with the returns on global equities, gold, and (especially) London real estate. Also, they seem to be affected more by trends in oil prices than are global art prices. The results illustrate how the new wealth created in fast-developing economies has an impact on the demand for art from these countries, which reflects a home bias in taste.",39.0,https://research.tilburguniversity.edu/en/publications/65d8bb74-3d8e-4db1-aa02-467b888839611470df59a7f1557fbb8bbf48a1ce104670d5313ed0a,10.1109/icpcsi.2017.8392275,Predicting the housing price direction using machine learning techniques,2017,"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)",Debanjan Banerjee; Suchibrota Dutta,,39.0,1481d870100524de6c1e1492022abaf4acec66630a9,10.1016/j.regsciurbeco.2021.103695,Epidemic shocks and housing price responses: Evidence from China's urban residential communities,2021,Regional Science and Urban Economics,Yana Liu; Yu-Gang Tang,"This paper evaluates the impact of the COVID-19 epidemic on the real estate market using a community-level panel dataset of 34 major cities in China. We find that the average housing price in communities with COVID-19 infections decreases by approximately 1.3% compared to communities with no confirmed cases. The economic implication is that homebuyers are willing to pay a premium equivalent to approximately 1.3% of the average housing price to avoid health risks. The response of real estate markets to epidemic shocks is heterogeneous in community and city characteristics. Dynamic analysis shows that the declines in home prices, transaction volumes, and rents are all short-lived, returning to their original development paths a few months after the epidemic shock. Public interventions such as community closures and quarantines may have contributed to the rapid recovery of the housing market, reducing the volatility of housing assets in the household sector.",38.0,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754793149doi_10_1068_c04r,10.1068/c04r,"Housing Policy, Poverty, and Culture: ‘Discounting’ Decisions among Pacific Peoples in Auckland, New Zealand",2002,Environment and Planning C: Government and Policy,Tarin Cheer; Robin Kearns; Laurence Murphy,"This paper explores the links between housing and other welfare policies, low income, and culture among Pacific peoples within Auckland, New Zealand. These migrant peoples occupy an ambiguous social space within Auckland: they represent the visible face of the world's largest Polynesian city, yet are occupants of some of the city's poorest and least health-promoting housing. Through considering the balance between choice and constraint, we examine how housing costs, poverty, and cultural practices converge to influence household expenditure decisions. Specifically, we are interested in the ways health-promoting behaviours (for example, obtaining fresh food) and utilising health care services are ‘discounted’ (that is, postponed or substituted with cheaper alternatives) because of costs associated with structural changes in housing and the broader policy context. We draw on narratives gathered from in-depth interviews conducted with seventeen Samoan and Cook Island families undertaken in the South Auckland suburb of Otara in mid-2000. Our findings illustrate a lack of ‘fit’ between state housing stock and its occupants. We conclude that, although a recent return to a policy of incom",38.0,150ccc840bf05d1dd777dcf52fa680f939ad8e923ef,10.3989/ic.16.053,La incidencia de la calificación energética sobre los valores residenciales: un análisis para el mercado plurifamiliar en Barcelona,2016,,C. Duarte,"This paper studies in a novel way the incidence of the energy rating on residential values in Spain. Real estate sale values in metropolitan Barcelona are analyzed using a hedonic model. The results suggest that moving from a G to an A rating increases the value by 5.11 %, equivalent to an average of 16.07 euros/m2/step (although there is an extra for grade A housing).This surplus is, in relative terms, much lower than in other European cities and, in absolute terms, less than the previously reported extra costs expended on improving the energy rating. In addition, the huge lack of energy rating information in the market seems to respond to a strategy to hide the poor rating of the building stock and aggravate the information asymmetry. All together overshadows the effectiveness of the European Energy Efficiency Directive as has been implemented in our country, and calls for its redesign.",38.0,http://informesdelaconstruccion.revistas.csic.es/index.php/informesdelaconstruccion/article/download/5659/65341510c1ca0a978468500e71964ca2875a0752b7ead74,10.1016/j.jpubeco.2017.12.007,Assessing the efficiency of local open space provision,2018,,Corey Lang,"This paper tests the efficiency of local provision of land conservation. I examine how housing prices, which capitalize open space amenities and future tax obligations, change after municipalities vote on referendums for conservation spending. Using a dynamic regression discontinuity based on voting outcomes, results suggest that average housing prices increase about 0.68–1.12% for every $1000 per household of open space spending authorized, which indicates inefficiency and underprovision of conservation. I also examine tax capitalization and supply side explanations for estimated capitalization.",38.0,https://digitalcommons.uri.edu/enre_facpubs/22152doi_10_1080_0042098975475,10.1080/0042098975475,House and Land Prices in Sydney from 1931 to 1989,1997,Urban Studies,Peter Abelson,"This paper describes and explains house and land prices in Sydney from 1931 to 1989. Throughout this period, house and land prices fell, generally exponentially, with distance to the CBD. However, the price gradients were not constant. Between 1931 and 1968 the gradients flattened. On the other hand, between the mid 1970s and 1989 they became steeper again. The changes in the gradients were caused mainly by changes in travel times and costs by road and rail. Real travel costs fell in the early period and rose later on. Other factors that affected the price gradients were changes in car ownership and the supply of urban services in the early period and gentrification of inner-city areas and the greater increase in housing supply on the urban fringe in the later period. The paper also shows how house size and environmental factors influenced house prices in the 1970s and 1980s.",38.0,153doi_10_1016_0094_1190_84_90024_x,10.1016/0094-1190(84)90024-x,Hedonic analysis of a housing market in disequilibrium,1984,Journal of Urban Economics,Alex Anas; Sung Jick Eum,,38.0,154doi_10_1136_jech_54_7_530,10.1136/jech.54.7.530,"Health conditions and residential concentration of poverty: a study in Rio de Janeiro, Brazil",2000,Journal of Epidemiology and Community Health,Célia L Szwarcwald; Francisco Inácio Bastos; Christovam Barcellos; Maria de Fátima Pina; Maria Angela Pires Esteves,"STUDY OBJECTIVES To establish the geographical relation of health conditions to socioeconomic status in the city of Rio de Janeiro, Brazil. DESIGN All reported deaths in the municipality of Rio de Janeiro, from 1987 to 1995, obtained from the Mortality Information System, were considered in the study. The 24 “administrative regions” that compose the city were used as the geographical units. A geographical information system (GIS) was used to link mortality data and population census data, and allowed the authors to establish the geographical pattern of the health indicators considered in this study: “infant mortality rate”; “standardised mortality rate”; “life expectancy” and “homicide rate”. Information on location of low income communities (slums) was also provided by the GIS. A varimax rotation principal component analysis combined information on socioeconomic conditions and provided a two dimension basis to assess contextual variation. MAIN RESULTS The 24 administrative regions were aggregated into three different clusters, identified as relevant to reflect the socioeconomic variation. Almost all health indicator thematic maps showed the same socioeconomic stratification patter",37.0,15501912cf8345f0c472dd04ce60c9dc786354d12dd,10.1111/jors.12462,"Earthquakes, grants, and public expenditure: How municipalities respond to natural disasters",2019,Journal of Regional Science,G. Masiero; M. Santarossa,"We analyze the response of municipalities to the occurrence of natural disasters (earthquakes) in Italy, in terms of spending behavior, use of upper tier transfers and recovery. We find evidence of increasing expenditure for about 12 years after the shock, with asymmetric responses between matching (earthquake-related) and unconditional grants, and heterogeneous flypaper effects across the country. While in Northern municipalities expenditure tends to regress to pre-treatment levels, i.e., before the earthquake occurrence, Southern municipalities react to the drop of grants showing inertia in expenditure levels. This evidence is coupled with a faster recovery of private income and housing prices in Northern municipalities. Our analysis exploits balance sheet data of about 8000 municipalities for the period 2000-2015 and encompasses the universe of earthquake events defined using alternative intensity measures. We apply a matching approach to disentangle earthquake-related grants (mostly matching grants) from other grants, and to define a control group of non-treated municipalities. The spatial and temporal variation in expenditure and transfers between treated and not-treated gover",37.0,http://hdl.handle.net/10446/1511081561660f0cc6d693fb302e036321cab6e9e93e25e94,10.22452/jdbe.sp2017no1.1,Factors Affecting the Demand of Affordable Housing among the Middle-Income Groups in Klang Valley Malaysia,2017,,N. Zainon; F. A. Mohd-Rahim; S. Sulaiman; S. B. Abd-Karim; A. Hamzah,"Housing affordability has been a major concern issues in Malaysia especially those living in major cities like Kuala Lumpur and Selangor. Purchasing a “dream home” is one of those life accomplishments that top nearly everyone’s bucket list. Searching for a home comes with different considerations; housing market outcomes can be influenced by a range of different factors. In the long run. house prices will tend to converge to the cost of new housing construction. For that reason, this study aims to identify the determinants affecting the purchase decision among middle-income groups. The data was collected through questionnaire survey that was distributed in the Klang Valley area. The data was gathered then analysed using descriptive analysis and inferential statistical tests. Findings identified factors that have driven up the demand for housing, and in particular for home ownership, in recent years. It reveals that the affordable house price factor is the most important consideration in buying a house. This study would shed light for the developers in developing housing schemes based on the consumers1 preferences and could become a basis for the government to revise the current hou",37.0,https://doi.org/10.22452/jdbe.sp2017no1.115714edc6e2a7bed0f751d8917ac550b66b730ef671,10.1007/s11146-016-9552-5,Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices,2017,,G. Ngene; Daniel P. Sohn; M. K. Hassan,,37.0,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2943554158doi_10_1111_j_1467_9787_1980_tb00661_x,10.1111/j.1467-9787.1980.tb00661.x,CROSS‐SECTIONAL VARIATION IN THE HEDONIC RELATIONSHIP FOR URBAN HOUSING MARKETS*,1980,Journal of Regional Science,Richard V. Butler,,37.0,159doi_10_1016_0094_1190_88_90049_6,10.1016/0094-1190(88)90049-6,Estimating willingness to pay for housing characteristics: An application of the Ellickson bid-rent model,1988,Journal of Urban Economics,David J. Gross,,37.0,160doi_10_1080_0042098983872,10.1080/0042098983872,The Impact of Tourism on Residential Experience in Central-eastern Europe: The Development of a New Legitimation Crisis in the Czech Republic,1998,Urban Studies,Charlie Cooper; Nigel Morpeth,"This paper argues that rapid and unfettered commercial tourism development in the historic core of Prague is playing a major role in the transformation of its social, spatial and cultural characteristics, changes which are encapsulating residential experience. Whilst recognising the potential positive economic benefits of tourism, we argue that the inherent pressures of commercialisation and touristification are creating new tensions which, if not addressed, are likely to contribute significantly to the creation of a new legitimation crisis in the Czech Republic, one epitomised by an inability to establish universal support for neo-liberal capitalist accumulation as a sustainable path for political and economic reform. Although largely impressionistic in method, this exposition seeks to offer, with the aid of comparative analyses of other European cities, observations which provide insights that may benefit a broader empirical investigation and debate on residential experience, one that is enhanced by the interdisciplinary links between housing and tourism. More specifically, it explores the complex interrelationship between residential experience and tourism, arguing that the form",36.0,1613de7b39b16ffe44ccbe5ce804f4676c94fe50fd5,10.1016/j.ecolecon.2017.01.022,Bridging the Gap Between Revealed and Stated Preferences in Flood-prone Housing Markets,2017,,K. de Koning; T. Filatova; Okmyung Bin,"Abstract This papers attempts to shed light on the gap between revealed and stated preferences methods in flood-prone housing markets. We quantitatively explore the market-level consequences of various behavioural models' assumptions regarding risky choices at the individual level. In addition, we quantify the effect of the market-level bias in risk valuation that individual preferences for neighbourhood quality imply. We apply an economic agent-based housing market model to quantify and disentangle the impacts of behavioural biases in individual decisions under risk as well as neighbourhood externalities, which both are known to distort markets. We compare three different micro-level behavioural risk models: expected utility, prospect theory and risk negligence. The flood risk discount on a market level varies significantly, but the results do not rule out any of these models. In general, markets with prospect theory traders overprice risks causing an unrealistically high price differential between risk-prone and risk free properties. The marginal implicit price for flood risk is much closer to empirically found prices in the expected utility and risk negligence models. Additional",36.0,https://doi.org/10.1016/j.ecolecon.2017.01.022162218db14f4ce7ac608cb6bc71c5735d8579cd337f,10.5198/jtlu.2015.824,The impact of walkable environment on single-family residential property values,2017,,Yun-Tao Guo; S. Peeta; Sekhar Somenahalli,"Due to the impact of urban sprawl, the need for responsible property investing, and the emerging evidence supporting the linkage between walkable environment (in terms of built environment and walk accessibility) and residential property value, there is a critical need to develop systematic methodologies to quantify the impact of walkable environment on residential property value. This study provides a new generalized dissimilarity index for quantifying land-use mix, a key component of built environment, and a new method for measuring a property’s walk accessibility and then links them to residential property values. Ordinary least squares (OLS) regression models are used to validate these methods by examining the empirical property data in Eastern Adelaide, Australia. The results of the OLS models show that the proposed dissimilarity index and property walk-accessibility method outperform other commonly used land-use mix quantification and walk-accessibility methods in estimating single-family residential property values in terms of the goodness-of-fit and explanatory power. This study provides insights for investors to understand the impact of walkable environment on single-famil",36.0,https://www.jtlu.org/index.php/jtlu/article/download/824/8461631647e7d65abbd9a6325e660efa1358895cf21905,10.1257/app.20200467,The Impact of School Facility Investments on Students and Homeowners: Evidence from Los Angeles,2022,American Economic Journal: Applied Economics,Julien Lafortune; David Schönholzer,"We study school facility investments using administrative records from Los Angeles. Exploiting quasi-random variation in the timing of new facility openings and using a residential assignment instrument, we find positive impacts on test scores, attendance, and house prices. Effects are not driven by changes in class size, peers, teachers, or principals, but some evidence points toward increased facility quality. We evaluate program efficiency using implied future earnings and housing capitalization. For each dollar spent, the program generated $1.62 in household value, with about 24 percent coming directly through test score gains and 76 percent from capitalization of non-test-score amenities. (JEL H75, H76, I21, I26, J31, R31, R53)",36.0,164d4e0eb0181ad3e6844335a99b19b8f7274807d91,10.3390/heritage5030082,What Advantages Do Adaptive Industrial Heritage Reuse Processes Provide? An Econometric Model for Estimating the Impact on the Surrounding Residential Housing Market,2022,The Heritage,Federico Dell’Anna,"When industrial relics, such as obsolete buildings, sites, and infrastructures, enter into a process of adaptive reuse, they become transformation engines capable of shaping the urban fabric. They provide tangible and intangible links to our past and have the potential to play a significant role in today’s cities’ futures. One unresolved issue is the quantification of the externalities of these transformation processes. If undertaken correctly, adaptive reuse can contribute to the development of social and cultural capital, environmental sustainability, urban regeneration, and, most importantly, economic benefits to the surrounding community. In this sense, understanding the value of heritage is particularly important in light of the new European urban environmental policy movement based on the circular economy, which aims to change the way Member States consume and produce materials and energy. After a review of the externalities generated by the adaptive reuse of disused industrial heritage, the paper will concentrate on the estimation of economic benefits given by a transformation process that affected Turin’s Aurora district (Northern Italy) during the last years. The hedonic p",35.0,https://www.mdpi.com/2571-9408/5/3/82/pdf?version=1657077632165doi_10_1006_jaer_1998_0345,10.1006/jaer.1998.0345,Volatilization of Ammonia from Dairy Housing Floors with Different Surface Characteristics,1999,Journal of Agricultural Engineering Research,C.R. Braam; D. Swierstra,,35.0,166179cdefa1a76f9bd77f0f375623d45346c6690a0,10.1080/14036096.2015.1092467,Effectiveness of Macro-regulation Policies on Housing Prices: A Spatial Quantile Regression Approach,2015,,Haiyong Zhang; Xin-Yu Wang,,35.0,1670795e1f2569ab3c9b87c0451960aa54739093319,10.3844/jmssp.2012.419.434,PERFORMANCE OF MULTIPLE LINEAR REGRESSION AND NONLINEAR NEURAL NETWORKS AND FUZZY LOGIC TECHNIQUES IN MODELLING HOUSE PRICES,2012,,Siti Amri; Gurudeo Anand Tularam,"House price prediction continues to be important fo r government agencies insurance companies and real estate industry. This study investigates the perfor mance of house sales price models based on linear a nd non-linear approaches to study the effects of selec ted variables. Linear stepwise Multivariate Regress ion (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The GIS methods are used to integrate the data for the study area (Bathurst, Australia). While it was expected that the nonlinear methods wo uld be much better the analysis shows NN and ANFIS are only slightly better than MR suggesting q uestions about high R 2 often found in the literature. While structural data and macro-finance variables m ay contribute to higher R 2 performance comparison was the goal of this study and besides the Australi an data lacked structural elements. The results sho w that MR model could be improved. Also, the land value and location explained at best about 45% of the sale price variation. The analysis of price forecasts ( within the 10% range of the actual prediction) on average revealed that the non-linear models perform ed slightl",34.0,https://thescipub.com/pdf/jmssp.2012.419.434.pdf1680fc35dc6493e1d25418d4a875a37fccff121c018,10.1080/10691898.2010.11889581,"SOCR Motion Charts: An Efficient, Open-Source, Interactive and Dynamic Applet for Visualizing Longitudinal Multivariate Data",2010,Journal of Statistics Education,Jameel Al-Aziz; Nicolas Christou; I. Dinov,"The amount, complexity and provenance of data have dramatically increased in the past five years. Visualization of observed and simulated data is a critical component of any social, environmental, biomedical or scientific quest. Dynamic, exploratory and interactive visualization of multivariate data, without preprocessing by dimensionality reduction, remains a nearly insurmountable challenge. The Statistics Online Computational Resource (www.SOCR.ucla.edu) provides portable online aids for probability and statistics education, technology-based instruction and statistical computing. We have developed a new Java-based infrastructure, SOCR Motion Charts, for discovery-based exploratory analysis of multivariate data. This interactive data visualization tool enables the visualization of high-dimensional longitudinal data. SOCR Motion Charts allows mapping of ordinal, nominal and quantitative variables onto time, 2D axes, size, colors, glyphs and appearance characteristics, which facilitates the interactive display of multidimensional data. We validated this new visualization paradigm using several publicly available multivariate datasets including Ice-Thickness, Housing Prices, Consumer",34.0,https://doi.org/10.1080/10691898.2010.11889581169doi_10_1108_14635780010345391,10.1108/14635780010345391,Environmental preferences of homeowners,2000,Journal of Property Investment & Finance,André Bender; Allan Din; Martin Hoesli; Séverin Brocher,"A comparative study of perceptions concerning the environmental quality of residential real estate in Switzerland based on empirical data collected in three different linguistic regions is presented. Responses by homeowners in the Geneva, Zurich and Lugano areas to questionnaires involving pairwise preference criteria are analysed in the framework of the analytic hierarchy process (AHP). Eight different environmental quality criteria are used and responses are categorised in terms of indicators concerning the personal situation of the homeowner. The results show that environmental preference levels across the three cities are in the 7‐18 per cent range. It appears that perceptions are similar for four of the eight criteria, whereas notable differences exist for the other criteria. Some possible interpretations of these results are given. Finally, possible extensions to this study are discussed, in particular how the approach could be integrated in a more detailed spatial analysis of socio‐economic data in the framework of geographic information systems.",34.0,17007b8b25f7b3d73d4b16980b495c5e8bc7ea0a08f,10.1080/14445921.2015.1058031,Determinants of house prices in Seoul: A quantile regression approach,2015,,Heeho Kim; Sae-Won Park; Sunhae Lee; Xingqun Xue,,34.0,171060089c3809c18409d0809d400cb4edfc1d782c8,10.1007/s00500-018-3090-4,Affordable levels of house prices using fuzzy linear regression analysis: the case of Shanghai,2018,"Soft Computing - A Fusion of Foundations, Methodologies and Applications",Jian Zhou; Hui Zhang; Yujie Gu; Athanasios A. Pantelous,,34.0,172137b93fc5e22064ef7575f158dfe102b8f1fc46d,10.3390/su14159056,A Comparative Study of Machine Learning and Spatial Interpolation Methods for Predicting House Prices,2022,Sustainability,Jeonghyeon Kim; Youngho Lee; Myeongdong Lee; Seong-Yun Hong,"As the volume of spatial data has rapidly increased over the last several decades, there is a growing concern about missing and incomplete observations that may result in biased conclusions. Several recent studies have reported that machine learning techniques can more efficiently address this limitation in emerging data sets than conventional interpolation approaches, such as inverse distance weighting and kriging. However, most existing studies focus on data from environmental sciences; so, further evaluations are required to assess their strengths and limitations for socioeconomic data, such as house price data. In this study, we conducted a comparative analysis of four commonly used methods: neural networks, random forests, inverse distance weighting, and kriging. We applied these methods to the real estate transaction data of Seoul, South Korea, and demonstrated how the values of the houses at which no transactions are recorded could be predicted. Our empirical analysis suggested that the neural networks and random forests can provide a more accurate estimation than the interpolation counterparts. Of the two machine learning techniques, the results from a random forest model w",33.0,https://www.mdpi.com/2071-1050/14/15/9056/pdf?version=16586450471730565b9916b99c41621b10762318d97b6d870ffa6,10.1186/2193-8997-2-2,THE ROLE OF LOCATION IN EVALUATING RACIAL WAGE DISPARITY,2013,Journal of Labor Economics,Dan A. Black; Natalia A. Kolesnikova; Seth Sanders; Lowell J. Taylor,"AbstractA standard object of empirical analysis in labor economics is a modified Mincer wage function in which an individual’s log wage is a function of education, experience, and race. We analyze this approach in a context where individuals live and work in different locations (thus facing different housing prices and wages). Our model justifies the traditional approach, but with the important caveat that the regression should include location-specific fixed effects. Empirical analysis of men in U.S. labor markets demonstrates that failure to condition on location causes us to significantly overstate the decline in black-white wage disparity over the past 60 years.JEL codesJ31, J71, R23",33.0,https://doi.org/10.2139/ssrn.14684351740cda8c7fb79a0931ccb358ff0adb8c32533fb721,10.22605/rrh3925,Measuring the attractiveness of rural communities in accounting for differences of rural primary care workforce supply.,2017,Rural and remote health,M. McGrail; Peter Wingrove; Stephen Petterson; J. Humphreys; D. Russell; A. Bazemore,"INTRODUCTION175Many rural communities continue to experience an undersupply of primary care doctor services. While key professional factors relating to difficulties of recruitment and retention of rural primary care doctors are widely identified, less attention has been given to the role of community and place aspects on supply. Place-related attributes contribute to a community's overall amenity or attractiveness, which arguably influence both rural recruitment and retention relocation decisions of doctors. This bi-national study of Australia and the USA, two developed nations with similar geographic and rural access profiles, investigates the extent to which variations in community amenity indicators are associated with spatial variations in the supply of rural primary care doctors.176177178METHODS179Measures from two dimensions of community amenity: geographic location, specifically isolation/proximity; and economics and sociodemographics were included in this study, along with a proxy measure (jurisdiction) of a third dimension, environmental amenity. Data were chiefly collated from the American Community Survey and the Australian Census of Population and Housing, with additional calcula",32.0,https://www.rrh.org.au/journal/download/pdf/3925/18017a50ddaa45f542616fef995da469f005dc540dc,10.1016/j.envres.2021.111795,Effects of tree canopy on psychological distress: A repeated cross-sectional study before and during the COVID-19 epidemic,2021,Environmental Research,Chang Zhang; Cheng Wang; Chao Chen; Li-Yuan Tao; Ji Jin; Zi-Yan Wang; B. Jia,"Background During the COVID-19 epidemic period, people showed a stronger connection to the environment within their communities. Although tree canopy in residential areas has been shown to positively affect psychological distress, it is not clear whether the COVID-19 epidemic played a role in this process. Elucidation of the relationship between tree canopy and the impact on psychological distress during the COVID-19 epidemic could provide valuable information as to the best methods to help individuals cope with urban mental stress events. Methods A total of 15 randomly selected residential areas of Beijing were enrolled in this repeated cross-sectional study. A total of 900 residents were included in the two-waves of the investigation (450 residents per wave) before and during the COVID-19 epidemic (i.e., May 2019 and May 2020). Psychological distress was estimated using the 12-question General Health Questionnaire (GHQ-12). Tree canopy coverage (TCC) was measured through visual interpretation based on the 2013 data sources (World View 2 satellite imagery of Beijing urban areas with a resolution of 0.5 m). The demographic characteristics, distance to the nearest surrounding green ",32.0,https://doi.org/10.1016/j.envres.2021.1117951811de5282b567818b1075f092e8c64d20506d89f5f,10.1109/bigdata.2017.8258061,Predicting regional economic indices using big data of individual bank card transactions,2015,2017 IEEE International Conference on Big Data (Big Data),S. Sobolevsky; E. Massaro; Iva Bojic; Juan Murillo Arias; C. Ratti,"For centuries quality of life was a subject of studies across different disciplines. However, only with the emergence of a digital era, it became possible to investigate this topic on a larger scale. Over time it became clear that quality of life not only depends on one, but on three relatively different parameters: social, economic and well-being measures. In this study we focus only on the first two, since the last one is often very subjective and consequently hard to measure. Using a complete set of bank card transactions recorded by Banco Bilbao Vizcaya Argentaria (BBVA) during 2011 in Spain, we first create a feature space by defining various meaningful characteristics of a particular area performance through activity of its businesses, residents and visitors. We then evaluate those quantities by considering available official statistics for Spanish provinces (e.g., housing prices, unemployment rate, life expectancy) and investigate whether they can be predicted based on our feature space. For the purpose of prediction, our study proposes a supervised machine learning approach. Our finding is that there is a clear correlation between individual spending behavior and official s",32.0,https://arxiv.org/pdf/1506.000361820f6c44944da38d614c808b21c866402a08f419ac,10.3390/e18080303,A Geographically Temporal Weighted Regression Approach with Travel Distance for House Price Estimation,2016,Entropy,Jiping Liu; Yi Yang; Shenghua Xu; Yangyang Zhao; Yong Wang; Fuhao Zhang,"Previous studies have demonstrated that non-Euclidean distance metrics can improve model fit in the geographically weighted regression (GWR) model. However, the GWR model often considers spatial nonstationarity and does not address variations in local temporal issues. Therefore, this paper explores a geographically temporal weighted regression (GTWR) approach that accounts for both spatial and temporal nonstationarity simultaneously to estimate house prices based on travel time distance metrics. Using house price data collected between 1980 and 2016, the house price response and explanatory variables are then modeled using both the GWR and the GTWR approaches. Comparing the GWR model with Euclidean and travel distance metrics, the GTWR model with travel distance obtains the highest value for the coefficient of determination ( R 2 ) and the lowest values for the Akaike information criterion (AIC). The results show that the GTWR model provides a relatively high goodness of fit and sufficient space-time explanatory power with non-Euclidean distance metrics. The results of this study can be used to formulate more effective policies for real estate management.",32.0,https://www.mdpi.com/1099-4300/18/8/303/pdf?version=14713332951831d9d0c9d6976a2d891d2ab9604d0e35052cba82b,10.1016/j.landusepol.2019.104158,"Opposition to housing development in a suburban US County: Characteristics, origins, and consequences",2019,Land Use Policy,Andrew H. Whittemore; T. BenDor,"Local opposition to new housing is a well-known phenomenon, but the degree to which it characterizes planning debates or influences outcomes, relative to more supportive stances, is less understood. This paper investigates public comments recorded at public hearings regarding housing-related rezoning cases in order to quantify the amount of comments that can be characterized as oppositional, as well as the sources and effects of this opposition. We conducted a survey of comments made over three decades by 994 individuals appearing at planning commission hearings concerning 330 rezoning cases in Henrico County, Virginia (USA). We find that the overwhelming majority (85.8%) of individuals expressed negative sentiments, that this negativity was consistent throughout the study period, and that this negativity was most often stated in terms of anxieties over traffic, flooding, road connections and access, proposed development density, and property values. Using logistic regression analysis, we find that larger rezonings, the incorporation of multi-family or zero lot-line housing, higher census tract populations, increases in homeownership, increasing population density, and increasing r",32.0,18407ae3775ca1d622a731895ab8aa1409a97810a95,10.1016/j.regsciurbeco.2019.02.001,Seismic risk and house prices: Evidence from earthquake fault zoning,2019,Regional Science and Urban Economics,Ruchi Singh,"In 1972, the Alquist-Priolo Zoning Act provided for the publication of earthquake fault maps in California. I exploit revisions in these official maps over time to estimate the rate of capitalization of seismic risk into property values using a difference-in-differences framework. Using geographically consistent data from 1970 to 2010 at the census tract level, I find that on average property values decline by 6.6 percent after the delineation of the fault zone, while rents decline by around 3.3 percent. I also examine the risk gradient and heterogeneity in willingness to pay using individual sales transactions, assessors' records, and publicly available mortgage data for the City of Los Angeles. The analysis of micro transactions data from 1997 to 2016 reveals that, on average, house prices increase by 1.8 percent for a one-mile increase in distance from the fault zone. The evidence also indicates that holding income and gender constant, Blacks and Hispanics are less willing than Whites to trade other forms of consumption to avoid earthquake risk.",32.0,185doi_10_2307_3146080,10.2307/3146080,The Impact of Rent Control on Tenure Discounts and Residential Mobility,1982,Land Economics,W. A. V. Clark; Allan D. Heskin,,32.0,186doi_10_1017_s0022029997002823,10.1017/s0022029997002823,"Sole disorders in conventionally managed and organic dairy herds 187using different housing systems",1998,Journal of Dairy Research,METTE VAARST; JENS HINDHEDE; CARSTEN ENEVOLDSEN,"Records of claw trimmings were analysed in seven organic and six conventional Danish herds (a total of 974 cows). The housing systems represented were tie stall systems, loose housing system with slatted floor (one organic herd), and deep litter systems (deep straw bedding). Occurrence of sole disorders was analysed separately for cows in first lactation and for cows in later lactations. Three different responses (acute haemorrhage, sole ulcer in one leg and sole ulcer in two or more legs) were analysed using three binomial logistic regression analyses for each group. Herd analysed as a fixed effect was a strong risk factor for all kinds of sole ulcer. Lactation stage was a risk factor for acute haemorrhage in both groups of cows, and for sole ulcer in first parity cows. In general, there was a strong positive association between the period 61–120 d post partum and the presence of sole disorders. Breed was associated with acute haemorrhage in cows in second and later parities, and sole ulcer in one leg only in first parity cows in an interaction with lactation stage in both conditions. Danish Friesian cows were strongly associated with sole disorder, although the combination of lac",31.0,18802834329f3c90f18064267ede9a9b1aa84b561e3,10.1017/s0007114520004705,"Characterising percentage energy from ultra-processed foods by participant demographics, diet quality and diet cost: findings from the Seattle Obesity Study (SOS) III",2020,British Journal of Nutrition,Shilpi Gupta; Chelsea M. Rose; James H. Buszkiewicz; Linda K. Ko; Jin Mou; A. Cook; A. Aggarwal; A. Drewnowski,"Abstract Higher consumption of ‘ultra-processed’ (UP) foods has been linked to adverse health outcomes. The present paper aims to characterise percentage energy from UP foods by participant socio-economic status (SES), diet quality, self-reported food expenditure and energy-adjusted diet cost. Participants in the population-based Seattle Obesity Study III (n 755) conducted in WA in 2016–2017 completed socio-demographic and food expenditure surveys and the FFQ. Education and residential property values were measures of SES. Retail prices of FFQ component foods (n 378) were used to estimate individual-level diet cost. Healthy Eating Index (HEI-2015) and Nutrient Rich Food Index 9.3 (NRF9.3) were measures of diet quality. UP foods were identified following NOVA classification. Multivariable linear regressions were used to test associations between UP foods energy, socio-demographics, two estimates of food spending and diet quality measures. Higher percentage energy from UP foods was associated with higher energy density, lower HEI-2015 and NRF9.3 scores. The bottom decile of diet cost ($216·4/month) was associated with 67·5 % energy from UP foods; the top decile ($369·9/month) was ass",30.0,https://www.cambridge.org/core/services/aop-cambridge-core/content/view/86D1C6619054662F828F33677E0BCAF2/S0007114520004705a.pdf/div-class-title-characterising-percentage-energy-from-ultra-processed-foods-by-participant-demographics-diet-quality-and-diet-cost-findings-from-the-seattle-obesity-study-sos-iii-div.pdf189doi_10_2990_27_1_78,10.2990/27_1_78,“Happy warriors” Revisited: Hedonic and agonic display repertoires of presidential candidates on the evening news,2008,Politics and the Life Sciences,Erik P. Bucy; Maria Elizabeth Grabe,"Absent from most analyses of political news are detailed assessments of the candidates' nonverbal behavior, which has been shown experimentally to have considerable persuasive influence. Unlike attractiveness and other relatively stable aspects of appearance, facial displays are highly variable and reveal important moment-to-moment information about the emitter's internal state. In this paper we argue that facial displays are influential elements within political news and examine the character of televised candidate displays over four presidential election cycles. The analysis considers coverage of major party nominees shown during the general elections of 1992, 1996, 2000, and 2004 on the major broadcast networks (ABC, CBS, and NBC). To motivate our hypotheses, we draw on the biopolitics literature that has identified three classes of displays relevant to the study of nonverbal political behavior: happiness/reassurance, anger/threat, and fear/evasion. The analysis focuses on the relationship between the display types shown in election coverage, the context in which the displays are shown, and candidate standings in the polls.",30.0,190doi_10_1080_0042098984862,10.1080/0042098984862,Residential Desegregation in Two South African Cities: A Comparative Study of Bloemfontein and Pietersburg,1998,Urban Studies,N.J. Kotze; S.E. Donaldson,"The abolition of the Group Areas Act in 1991 has, in the space of five years, contributed to major changes in the former apartheid cities of South Africa. However, the socio-political transformation that has taken place has been experienced differently-as can be seen, for example, in Bloemfontein and Pietersburg, the capitals of the Free State and the Northern Province respectively. Historic factors, locations and the new-found status of the two cities have influenced the desegregation process that has occurred. The spatial lay-out of Bloemfontein, a city with its own black township, differs sharply from that of Pietersburg, a city without a township during the apartheid era. This paper assesses desegregation in these two provincial capitals in post-apartheid South Africa and investigates residential desegregation patterns, grass-roots political changes (the outcomes of the local elections held in November 1994), and property values as a further indication of the differences that exist between these two cities.",30.0,191doi_10_1142_s0219091501000309,10.1142/s0219091501000309,Impact of Property Prices on Stock Prices in Hong Kong,2001,Review of Pacific Basin Financial Markets and Policies,Raymond Y. C. Tse,"This paper studies the extent to which real estate prices impact common stock prices in Hong Kong. Real estate-related firms account for over 30 percent of Hong Kong's stock market capitalization. The real estate markets are therefore major determinants of changes in common stock prices. This study, using data during the 1974-1998 period, not only supports empirically that both unexpected changes in residential and office property prices are important determinants of the change in stock prices for Hong Kong, it also finds that the property and stock price series are cointegrated. Impulse response function based on an error-correction VAR model is used to examine the dynamic relationships between real estate and common stock prices.",30.0,192doi_10_1016_0094_1190_79_90009_3,10.1016/0094-1190(79)90009-3,Hedonic price and depreciation indexes for residential housing: A comment,1979,Journal of Urban Economics,Raymond B. Palmquist,,30.0,193094f75a7a322f1899f24f2132422bde05e3d8b2b,10.1177/2399808318784017,Distance metric choice can both reduce and induce collinearity in geographically weighted regression,2018,Environment and Planning B Urban Analytics and City Science,A. Comber; Khánh Chi; M. Q. Huy; Quan Nguyen; Binbin Lu; P. Hoang; P. Harris,"This paper explores the impact of different distance metrics on collinearity in local regression models such as geographically weighted regression. Using a case study of house price data collected in Hà Nội, Vietnam, and by fully varying both power and rotation parameters to create different Minkowski distances, the analysis shows that local collinearity can be both negatively and positively affected by distance metric choice. The Minkowski distance that maximised collinearity in a geographically weighted regression was approximate to a Manhattan distance with (power = 0.70) with a rotation of 30°, and that which minimised collinearity was parameterised with power = 0.05 and a rotation of 70°. The results indicate that distance metric choice can provide a useful extra tuning component to address local collinearity issues in spatially varying coefficient modelling and that understanding the interaction of distance metric and collinearity can provide insight into the nature and structure of the data relationships. The discussion considers first, the exploration and selection of different distance metrics to minimise collinearity as an alternative to localised ridge regression, lasso ",29.0,http://eprints.whiterose.ac.uk/131530/1/EPB_Comber_accepted.pdf19414abdbc593407d056920e49fcb82177a6aa38f34,10.3390/su10093068,Housing Vulnerability and Property Prices: Spatial Analyses in the Turin Real Estate Market,2018,Sustainability,Alice Barreca; R. Curto; D. Rolando,"In the literature, several vulnerability/resilience indicators and indexes are based and assessed by taking into account and combining different dimensions. Housing vulnerability is one of these dimensions and is strictly related to the buildings’ physical features and to the socio-economic condition of their occupants. This research aims to study housing vulnerability in relation to the real estate market by identifying possible indicators and spatially analyzing their influence on property prices. Assuming the city of Turin and its territorial segmentation as a case study, spatial analyses were performed to take into account the presence of spatial dependence and to identify the variables that significantly influence the process of property price determination. The results of this study highlighted the fact that two housing vulnerability indicators, representative of fragile buildings’ physical features, were spatially correlated with property prices and had a significant and negative influence on them. In addition, their comparison with two social vulnerability indicators demonstrated that the presence of economical buildings and council houses was spatially correlated with the ",29.0,https://www.mdpi.com/2071-1050/10/9/3068/pdf?version=15354639051950fdd579a8d6c5c2785fbe733b525ec9c93e61f75,10.1111/j.1435-5957.2006.00089.x,"A cross-sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the english regions",2006,,B. Fingleton,"This article examines the distribution of residential property prices in 2001 across local areas in England using spatial econometric methods, showing that spatial variations in local income, income within commuting distance, the stock of residential properties and the quality of local schooling have significant effects. The residual spatial variation due to unknown factors is modelled by a proxy variable, but this does not rule out a significant spatial lag. The article argues that this represents endogenous interaction of property price levels between neighbouring areas, which is interpreted as the outcome of local market knowledge and preference, which produces greater price similarity between an area and its neighbours than one would anticipate from the levels of the exogenous price determinants. Copyright (c) 2006 the author(s). Journal compilation (c) 2006 RSAI.",29.0,https://doi.org/10.1111/j.1435-5957.2006.00089.x1961da15d8d57a1fa6d522fcc1bf63d6b4a22458c31,10.1108/ijhma-08-2017-0078,"Determinants of housing prices: evidence from Ontario cities, 2001-2011",2018,,A. Nistor; Diana-Gabriela Reianu,,29.0,19717abd6845dac273c6245231fc2bbaf394108eaf5,10.1146/annurev-resource-091912-151759,What Can We Learn from Hedonic Models When Housing Markets Are Dominated by Foreclosures,2013,,N. E. Coulson; Jeffrey E. Zabel,,29.0,1981145603a96b0d3ef6ee5fd52b3422b7408da9d15,10.3846/1648715x.2016.1271369,On price co-movement and volatility spillover effects in China’s housing markets,2017,,Ying-Liang Weng; P. Gong,"The soaring property prices in many Chinese cities have recently attracted increasing attention. This study uses the data on housing price indices from January 2005 to December 2014 in 10 large Chinese cities to analyze volatility spillover effects and to identify the determinants of price co-movement across the China’s regional housing markets. This research proposes a novel dynamic spatial panel data model that accounts for multivariate asymmetrical generalized autoregressive conditional heteroskedasticity components in disturbances to address these issues empirically. Results reveal that housing prices in cities are significantly influenced by population, income, mortgage rates, policy factors, and the national macroeconomic situation. The analysis further indicates that the housing returns of regions in China that are in close geographic and economic proximities exhibit strong co-movement and volatility spillovers. Evidence of significantly positive leverage effects in regional housing markets is also determined. This study’s findings have significant implications for academic researchers, financial experts, and policy makers.",28.0,https://journals.vgtu.lt/index.php/IJSPM/article/download/1800/1421199doi_10_1080_00420980120076740,10.1080/00420980120076740,A Model of Spatial Patterns across Local Retail Property Markets in Great Britain,2001,Urban Studies,Catherine Jackson,"Property markets are commonly modelled either at relatively high levels of aggregation (such as regional or national) using time-series data or panel data, or at individual-town level. This paper develops a cross-sectional model of a large number of retail property markets at the city and town level. The model is developed using prime retail rental levels data as the dependent variable and a number of demand and supply variables, suggested by theory, as independent variables. The model takes the form of a single equation and is based on multiple linear least-squares regression analysis. During the course of the paper, a number of issues are addressed: principal components analysis is suggested as a method of reducing multicollinearity in a model, and the spatial stability of the model is assessed. The paper concludes that the size of the retail core (as measured by the number of national multiple retailers present) and the demographic profile of the local population provide a highly significant explanation for the differential rental levels across towns and cities in Great Britain. The model generally exhibits a high degree of spatial stability, when tested using dummy variables an",28.0,200373f1ae3e5c3d29bb1ce5b49942c9462e64dc45f,10.5750/jgbe.v1i2.512,The Impact of Casino Gambling on Housing Markets: A Hedonic Approach,2013,,M. Wenz,,28.0,20100effbaf0c3d9720ff8cc8d18f4893c5048d7f8a,10.1016/s2542-5196(17)30101-8,Living in areas with different levels of earthquake damage and association with risk of cardiovascular disease: a cohort-linkage study.,2017,Lancet Planetary Health,Andrea M. Teng; T. Blakely; V. Ivory; S. Kingham; V. Cameron,"BACKGROUND202Cardiovascular disease rates are known to increase immediately after a severe earthquake. However, less is known about the magnitude of this increase over time in relation to the amount of housing damage. We assessed the effect of area housing damage from a major earthquake sequence in Christchurch, Canterbury province, New Zealand, on cardiovascular disease-related hospital admissions and deaths.203204205METHODS206For this cohort-linkage study, we used linked administrative datasets from the Statistics New Zealand Integrated Data Infrastructure to identify individuals aged 45 years or older living in Christchurch from the date of the first earthquake on Sept 4, 2010. Individuals were assigned the average damage level for their residential meshblock (small neighbourhood generally comprising 10-50 dwellings) using the insurance-assessed residential building damage costs obtained from the Earthquake Commission as a proportion of property value. We calculated the rates of cardiovascular disease-related hospital admissions (including myocardial infarction) and cardiovascular disease-related mortality and rate ratios (adjusted for age, sex, ethnicity, small-area deprivation index, an",27.0,https://doi.org/10.1016/s2542-5196(17)30101-82070ed0ddb6da3386737225a0fc49a74e5036c1c0be,10.1111/iere.12332,TESTING FOR MICRO-EFFICIENCY IN THE HOUSING MARKET,2018,International Economic Review,A. K. Anundsen; Erling Røed Larsen,"While aggregate house price indices display time persistence, less is known about micro persistence. This article proposes that absence of micro persistence implies that an excessively high or low sell price in one transaction is not repeated in the next transaction. We exploit a unique Norwegian data set of publically registered housing transactions between 2002 and 2014 and follow housing units over time to see if excessive prices persist or revert. In a regression with time and unit-fixed effects of sell-price-to-predicted-price ratios on previous sell-price-to-predicted-price ratios, we reject persistence and find substantial reversion. We also test for possible arbitrage opportunities in the form of excess returns. Once we control for price increases that are due to home improvements, we document that there is little scope for profitable arbitrage in excess of the market return. The overall impression is that the Norwegian housing market is relatively micro efficient.",27.0,http://hdl.handle.net/11250/2495728208doi_10_1111_1467_940x_00002,10.1111/1467-940x.00002,Rent Capitalization and Transportation Infrastructure Development in Jakarta,1999,Review of Urban & Regional Development Studies,Robert Cervero; Bambang Susantono,"Using Jakarta, Indonesia as a case study, we evaluate the degree to which proximity to freeway interchanges gets capitalized into office rents, controlling for factors like regional accessibility. The research shows strong capitalization effects, with rent premiums decaying exponentially with distances from freeway access points. It also shows that office rents are a stronger function of distance to Jakarta’s historical center, Monas, than a gravity‐based measure of accessibility to upper‐income households. Thus, a monocentric measure of location explained variation in office rents better than a polycentric measure of proximity to labor markets. While value capture principles are attractive in theory, implementation is particularly difficult in developing countries like Indonesia. Jakarta’s own betterment tax program has been plagued by poor administration and enforcement. We argue that shifting betterment tax financing away from a focus on residential properties to high‐end office and commercial land uses would likely yield higher rates of return and be far easier to implement.",27.0,2091dd8f9e39322403f1fa99f3aac44113709c6794e,10.1016/j.jeem.2022.102717,National expenditures on local amenities,2022,Journal of Environmental Economics and Management,David S. Bieri; N. Kuminoff; Jaren C. Pope,"A significant fraction of GDP is generated by implicit expenditures on spatially varying nonmarket amenities such as climate, public goods, urban infrastructure, and pollution. People pay for these amenities indirectly, through spatial variation in housing prices, wages and property taxes. In this paper we construct a new database of 75 amenities, match it to location choices made by 5 million households, and estimate their amenity expenditures in a way that is consistent with principles of satellite accounting and fundamentals of spatial sorting behavior. We find that amenity expenditures were $562 billion in 2000—8% of all U.S. personal consumption expenditures.",27.0,210doi_10_1111_j_1465_7295_1991_tb00850_x,10.1111/j.1465-7295.1991.tb00850.x,ANALYZING RENT CONTROL: THE CASE OF LOS ANGELES,1991,Economic Inquiry,MICHAEL P. MURRAY; C. PETER RYDELL; C. LANCE BARNETT; CAROL E. HILLESTAD; KEVIN NEELS,"An accurate assessment of the economic effects of a rent control law requires that both the specific provisions of the ordinance and the characteristics of the local housing market be considered. Examining the case of Los Angeles we conclude: First, most of the transfers from landlords to tenants were realized early in the law's life, while most of the economic cost of rent control was incurred later. Second, ordinance provisions aimed at increasing landlords' incentives to maintain rent‐controlled dwellings also markedly reduce the size of the transfers to tenants. These results, we think, will apply to other jurisdictions.",27.0,21106f0a41b5d4247148bec0db57be60ed1860a343a,10.1200/cci.22.00143,Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach,2023,JCO Clinical Cancer Informatics,Nickolas Stabellini; A. Nazha; Niki Agrawal; Merilys Huhn; J. Shanahan; N. Hamerschlak; K. Waite; J. Barnholtz-Sloan; A. Montero,"PURPOSE Develop a cancer-specific machine learning (ML) model that accurately predicts 30-day unplanned readmissions in patients with solid tumors. METHODS The initial cohort included patients 18 years or older diagnosed with a solid tumor. Two distinct cohorts were generated: one with and one without detailed social determinants of health (SDOHs) data. For each cohort, data were temporally partitioned in 70% (training), 20% (validation), and 10% (testing). Tree-based ML models were developed and validated on each cohort. The metrics used to evaluate the model's performance were receiver operating characteristic curve (ROC), area under the ROC curve, precision, recall (R), accuracy, and area under the precision-recall curve. RESULTS We included 13,717 patients in this study in two cohorts (5,059 without SDOH data and 8,658 with SDOH data). Unplanned 30-day readmission occurred in 21.3% of the cases overall. The five main non-SDOH factors most highly associated with an unplanned 30-day readmission (R, 0.74; IQR, 0.58-0.76) were: number of previous unplanned readmissions; higher Charlson comorbidity score; nonelective index admission; discharge to anywhere other than home, hospice, o",26.0,https://ascopubs.org/doi/pdfdirect/10.1200/CCI.22.001432120e7272672b65fcd8aa84471a046fbb188b6eaea0,10.1108/ijhma-04-2021-0047,The effects of tourism on housing prices: applying a difference-in-differences methodology to the Portuguese market,2021,International Journal of Housing Markets and Analysis,A. M. Cunha; Júlio Lobão,"213Purpose214This paper aims to explore the effects of a surge in tourism short-term rentals (STR) on housing prices in municipalities within Portugal’s two largest Metropolitan Statistical Areas.215216217Design/methodology/approach218This study applies the difference-in-differences (DiD) methodology by using a feasible generalized least squares (FGLS) estimator in a seemingly unrelated regression (SUR) equation model.219220221Findings222The results show that the liberalization of STR had a significant impact on housing prices in municipalities where a higher percentage of housing was transferred to tourism. This transfer led to a leftward shift in the housing supply and a consequent increase in housing prices. These price increases are much higher than those found in previous studies on the same subject. The authors also found that municipalities with more STR had low housing elasticities, which indicates that adjustments to the transfer of real estate from housing to tourism were made by increasing house prices, and not by increasing supply quantities.223224225Practical implications226The study suggests that an unforeseen consequence of allowing property owners to transfer the use of real estate from housin",26.0,https://www.emerald.com/insight/content/doi/10.1108/IJHMA-04-2021-0047/full/pdf?title=the-effects-of-tourism-on-housing-prices-applying-a-difference-in-differences-methodology-to-the-portuguese-market227doi_10_1080_00420989020080201,10.1080/00420989020080201,"An Econometric and Cultural Analysis of Rent Control in Kumasi, Ghana",1990,Urban Studies,Kenneth G. Willis; Stephen Malpezzi; A. Graham Tipple,"An empirical analysis of rent control in Kumasi, Ghana, is presented based upon a consumer demand model for housing. Controlled rent-to-income ratios are exceptionally low for a developing country. Moreover, the Asante housing market exhibits unusual cultural attributes and problems in estimating the 'without' rent control situation. Benefits and costs of rent control are presented by housing types and income levels, and distributional impacts assessed.",26.0,22819f0baff000054331262cd25e6b8352110d9f791,10.3141/2451-16,Capitalization Effects of Rail Transit and Bus Rapid Transit on Residential Property Values in a Booming Economy,2014,,Liang Ma; R. Ye; H. Titheridge,,26.0,229334a87a45bcd19fb7f7262b2b64d21a7f5b26441,10.1108/jpif-07-2019-0094,Property valuation: the market approach optimised by a weighted appraisal model,2019,Journal of Property Investment & Finance,F. Tajani; P. Morano; F. Salvo; Manuela De Ruggiero,"230Purpose231The purpose of this paper is to develop an innovative model that can be included within the market approach methods for property valuations. The algorithm takes into account the frequent high level of dissimilarity of the comparables selected for the assessment, thus providing for the use of appropriate similarity and reliability coefficients capable of weighing the data of the comparison sample with respect to the different degrees of similarity and reliability.232233234Design/methodology/approach235The proposed model borrows the operative logics of the goal programming techniques, in order to identify the solution, the market value of the subject property and the implicit prices of the different influencing factors, since they are more reliable from the mathematical and empirical points of view.236237238Findings239The model has been applied to two case studies, relating to samples of residential properties located in the city of Naples (Southern Italy). The results obtained have outlined the high valuation performance of the developed appraisal model, capable of overcoming the applicability limits of classical market approach methods as well as providing solutions that are highly consis",25.0,2400100426dbd5217aa2abe5258b72a03a5cc771b7c,10.1016/0094-1190(92)90001-2,"Owner-occupied housing, capital gains, and the Tax Reform Act of 1986",1992,,W. Hoyt; S. Rosenthal,"Abstract Previous homeowners face a nonlinear (kinked) budget constraint because they can avoid paying tax on the capital gain from the sale of their home if they purchase a more expensive home when they move. Simulation results suggest that the Tax Reform Act of 1986 (TRA86) has enhanced the importance of the capital gains kink by raising the after-tax cost of housing through lower marginal income tax rates while increasing the tax rate on capital gains. As a result, a reduction in the capital gains tax rate would reduce housing demand as some families currently at the kink would buy a less expensive home. Our findings also indicate that the level of excess burden increases with the capital gains tax rate, but that TRA86 reduced the size of implicit price subsidies received by owner-occupiers, and related deadweight loss, by roughly one-half. However, the distribution of benefits and deadweight loss from the favorable tax treatment of housing remains heavily weighted to higher income families. In addition, the size of the implicit housing subsidy and related distortion is sensitive to the level of mortgage rates.",25.0,https://doi.org/10.1016/0094-1190(92)90001-2241doi_10_1007_s10584_006_3486_5,10.1007/s10584-006-3486-5,Hedonic Pricing of Climate Change Impacts to Households in Great Britain,2006,Climatic Change,Katrin Rehdanz,,25.0,24216b05cb3a6565209f4741611a1c5ded8bc485fe8,10.31876/rcs.v26i3.33243,Comercio informal en ciudades intermedias del Ecuador: Efectos socioeconómicos y tributarios/ Informal trade in intermediate cities of Ecuador: Socioeconomic and tax effects,2020,,Gabith Miriam Quispe Fernández; V. Nina; Marlon Villa; R. Flores,"espanolEl incremento de la actividad informal es un problema socioeconomico estructural en la economia ecuatoriana y a quienes lo desarrollan se considera grupos vulnerables. La investigacion tiene el objetivo de identificar cuales son las causas y efectos del comercio informal alrededor de los mercados de las ciudades intermedias del Ecuador. El tipo de investigacion es cualitativa y tiene un nivel explicativo. Se considero como poblacion de estudio a 3.600 comerciantes informales ubicados alrededor de 12 mercados de la ciudad de Riobamba. Se aplico para la recogida de informacion el cuestionario a una muestra total de 310 comerciantes informales. Se aplico el analisis factorial y regresion lineal. Los resultados muestran que la condicion del estado civil, la disponibilidad de un lugar o local con servicio de agua potable, el pago de impuestos, desconocimiento de normas, sobrevivencia, residencia, ingreso economico, identidad etnica, falta de pertenencia a una asociacion son los factores que causan el desarrollo del comercio informal. Se concluye que el comercio informal tiene un efecto en la obstruccion de las calzadas de la calle, precio de viviendas, creacion de mayor competenc",24.0,https://produccioncientificaluz.org/index.php/rcs/article/download/33243/349152431697616e3bab08eab27b313b360c623e2420c0cc,10.1371/journal.pone.0213169,"Who sells to whom in the suburbs? Home price inflation and the dynamics of sellers and buyers in the metropolitan region of Paris, 1996–2012",2019,PLoS ONE,R. Le Goix; Timothée Giraud; Robin Cura; Thibault Le Corre; Julien Migozzi,"Price inflation has outbalanced the income of residents and buyers in major post-industrial city-regions, and real estate has become an important driver of these inequalities. In a context of a resilient inflation of home values during the last two decades in the greater Paris Region, it is critical to examine housing price dynamics to get a better understanding of socioeconomic segregation. This paper aims at presenting spatial analysis of the dynamics of segregation pertaining to inflation, analyzing price and sellers and buyers data. Using interpolation techniques and multivariate analysis, the paper presents a spatial analysis of property-level data from the Paris Chamber of Notaries (1996-2012) in a GIS (159,000 transactions in suburban areas, single family homes only). Multivariate analysis capture price change and local trajectories of occupational status, i.e. changes in balance between inward and outward flows of sellers and buyers. We adopt a method that fits the fragmented spatial patterns of suburbanization. To do so, we remove the spatial bias by means of a regular 1-km spatial grid, interpolating the variables within it, using a time-distance matrix. The main results ",24.0,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0213169&type=printable24412731808ba49212df44367da72d926ff2c614870,10.3390/su12062252,Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors,2020,Sustainability,Hao-Ying Wang; Yun-Feng Hu; Li Tang; Qingqing Zhuo,"Urban blue and green space is a key element supporting the normal operation of urban landscape ecosystems and guaranteeing and improving people's lives. In this paper, 97.1k photos of Beijing were captured by using web crawler technology, and the blue sky and green vegetation objects in the photos were extracted by using the Image Cascade Network (ICNet) neural network model. We analyzed the distribution characteristics of the blue–green space area proportion index and its relationships with the background economic and social factors. The results showed the following. (1) The spatial distribution of Beijing's blue–green space area proportion index showed a pattern of being higher in the west and lower in the middle and east. (2) There was a positive correlation between the satellite remote sensing normalized difference vegetation index (NDVI) and the proportion index of green space area, but the fitting degree of geospatial weighted regression decreased with an increasing analysis scale. (3) There were differences in the relationship between the housing prices in different regions and the proportion index of blue–green space, but the spatial fitting degree of the two increased with",24.0,https://www.mdpi.com/2071-1050/12/6/2252/pdf?version=1584181449245142520e8d12c1a65607b3eae7b2ae7f21d9f997d,10.1016/j.enpol.2023.113837,Commercial wind turbines and residential home values: New evidence from the universe of land-based wind projects in the United States,2023,Energy Policy,Eric Brunner; Ben Hoen; Joesph Rand; David J. Schwegman,"We examine the impact of proximity to land-based commercial wind turbines on residential home values in the United States using data on the universe of commercial wind turbines and residential property transactions from 2005 to 2020. Using event study and difference-in-differences identification strategies we find that, on average, homes located within 1 mile of a commercial wind turbine experience approximately an 11% decline in value following the announcement of a new commercial wind energy project, relative to counterfactual homes located 3 to 5 miles away. Event study estimates also reveal important dynamics in the evolution of home values, with property values first declining following project announcement, and then recovering post project construction, with property value impacts becoming relatively small (~2%) and statistically insignificant 9 years or more after project announcement (roughly 5 years after operation began). Homes located within 1 – 2 miles of a commercial wind turbine experience much smaller impacts and homes located farther than 2 miles away are unaffected. Our results are primarily driven by wind projects located in urban counties with populations greater",24.0,https://doi.org/10.1016/j.enpol.2023.11383724604f9b045d617136cf4130e6572229ef66b2d5fe5,10.1177/23998083211063885,Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression,2022,Environment and Planning B Urban Analytics and City Science,Yi-Gong Hu; Binbin Lu; Yong Ge; Guanpeng Dong,"Spatial heterogeneity is important for exploring data relationships between real estate price and its influential factors. The geographically weighted regression (GWR) technique has been frequently adopted for this purpose. In this study, we collected a second-hand real estate house price data set of Wuhan, in which each property is located the same as the community it belongs to. Thus, this data set possesses a typical characteristic, that is, dozens or even hundreds of observations could be allocated to one pair of coordinates, but vary in their attributes. This specific feature might lead to serious problems with bandwidth optimisations and coefficient estimates for calibrating the GWR model. We then proposed an extension by combining the hierarchical linear model (HLM) and GWR, namely HLM-GWR to cope with these problems. Results show that the HLM-GWR performs much better than the conventional GWR and HLM technique in terms of bandwidth optimisation, coefficient estimates. With a controlled simulation test, we again validated the advantage of the HLM-GWR model in comparison to both the HLM and GWR in handling this specific scenario. Overall, HLM-GWR is workable and should be rec",24.0,2472222ea0dbde7d634bd476e749b95d4b951d70316,10.1080/02673037.2020.1720617,Homeownership attainment of adult children in urban China: parental attributes and financial support,2020,,Zhou Yu,"Abstract Soaring homeownership and housing prices have made it more difficult for newcomers to climb the housing ladder without parental support. This study relies on China Household Finance Survey microdata in 2015 to examine the role of parental attributes (PA) and financial support on adult children’s homeownership attainment. Results show that, after controlling for covariates, parental lending for housing would triple the adult children’s odds of homeownership. Parental financial support plays a marginal role in maintaining homeownership. Adult children are more likely to transfer income to their parents than to receive, which is detrimental to the adult children’s homeownership. The relative importance of PA is secondary to that of parental support and the adult children’s institutional attributes—hukou status and access to housing provident fund. While the housing market is maturing, some advantages embedded in the socialist institutional arrangements have persisted. Young adults and rural migrants, who are burdened by financially supporting their parents, will struggle more in their housing careers.",24.0,248doi_10_1177_0891242402239197,10.1177/0891242402239197,Empirical Evidence on the Determinants of Rent-to-Own Use and Purchase Behavior,2003,Economic Development Quarterly,Signe-Mary McKernan; James M. Lacko; Manoj Hastak,"This study uses logit and multinomial logit models and data from a nationwide random sample of rent-to-own (RTO) customers to investigate financial, demographic, regulatory, and other factors associated with consumer use of RTO transactions and the purchase of RTO merchandise. The analysis recognizes that RTO transactions can be used for either the purchase of merchandise or a temporary rental and models the determinants of use and purchase separately for each group of customers. The study concludes that income, access to credit, education, and race are significant determinants of whether consumers use RTO transactions with the intent to purchase. The study also finds some indication that state RTO laws may affect use and purchase, although this result is less robust. The determinants differ for consumers entering RTO transactions intending to purchase and intending a temporary rental, suggesting the industry serves two separate and distinct markets. The policy implications are discussed.",24.0,249doi_10_1080_0042098993574,10.1080/0042098993574,Local Commercial and Industrial Rental Trends and Property Market Constraints,1999,Urban Studies,Colin Jones; Allison Orr,"The paper assesses the differential impact of property market constraints on the long-run rental trends in each of the commercial and industrial property market sectors. The perceived view that supply constraints are very inelastic in the retail sector, less so for offices and elastic for industrial properties is reconsidered. A series of hypotheses are derived and tested by an analysis of variance technique which decomposes rental change into local and national components. The paper concludes that changes in the pattern of spatial activity and specific property market processes have resculptured the nature of supply constraints. The result is that the spectrum of supply elasticities has narrowed.",24.0,250doi_10_1509_jppm_21_1_126_17615,10.1509/jppm.21.1.126.17615,Customer Experience with Rent-to-Own Transactions,2002,Journal of Public Policy & Marketing,James M. Lacko; Signe-Mary McKernan; Manoj Hastak,"The authors examine the characteristics and experiences of rent-to-own customers using a nationwide survey of 532 customers and 11,575 noncustomers. The authors find that most customers have low incomes and education levels, but most have a motor vehicle and some type of credit card or bank account; most customers use rent-to-own transactions to purchase merchandise, not merely as short-term rentals; and most customers are satisfied with the transactions and are treated well if they are late making a payment, though some experience abusive collection practices. The authors discuss the implications of the findings for public policy.",24.0,2510fd064c6317c19cda97c542b59c1a210d7a079e5,10.1016/j.jhe.2011.08.002,The house price determination process: Rational expectations with a spatial context,2011,,Hua Kiefer,,24.0,2520b140003669227c448b3051166a4488a77b2145a,10.1177/0042098016669473,"A hierarchical estimation of school quality capitalisation in house prices in Orange County, California",2017,,Sylvia Y. He,,24.0,2531f7b1012a5cc159181381166eb3611a6f94eeda2,10.1016/j.regsciurbeco.2022.103847,Pecuniary effects of public housing demolitions: Evidence from Chicago,2022,Regional Science and Urban Economics,Hector Blanco,"This paper studies the effects of public housing on private house prices. I examine the impact of a large and negative housing supply shock caused by the demolition of public housing developments in Chicago in the 1990s and 2000s. Using a synthetic control method based on census tracts in distant parts of the city, I estimate that house prices increased by about 20 percent over a ten-year period in census tracts near the demolitions. A calibration exercise suggests that the upward price pressure associated with reduced housing supply cannot fully explain the observed price effect. This leaves room for a contribution from positive amenities generated by demolitions, which raised the demand for nearby housing units. The estimated importance of amenity effects is, however, sensitive to the way the affected housing market is defined. The results highlight that, while public housing can lead to lower local house prices for unsubsidized households by increasing overall supply, the way in which the public sector supplies housing can impose significant adverse consequences on its neighbors. ∗I thank Amy Finkelstein, Jim Poterba and Rebecca Diamond for their guidance and insightful discussi",23.0,254doi_10_1177_0013916597295004,10.1177/0013916597295004,Environmental Characteristics Associated with Residential Burglaries of Student Apartment Complexes,1997,Environment and Behavior,Matthew B. Robinson; Christine E. Robinson,"This study identified environmental characteristics associated with residential burglaries of apartment complexes predominantly occupied by students, located near two major universities and a community college in Tallahassee, Florida. Through observation and measurement of environmental characteristics, results showed that accessibility played little role in differentiating burglarized and nonburglarized apartment units. Yet, burglarized units were disproportionately likely to be located on the comer of the building and on the first floor. Results also showed that apartment units with reported burglaries in 1993 were less surveillable than apartment units with no reported burglaries—i.e., burglarized units were more obstructed by foliage or structure. Finally, through surveying student apartment residents, results suggested that burglaries largely occurred at times when students reported being away from their apartments for purposes of attending classes, engaging in recreational activities, or shopping. The results add additional support for the well-established link between environmental characteristics and residential burglary.",23.0,255doi_10_1016_0094_1190_77_90007_9,10.1016/0094-1190(77)90007-9,Hedonic price and depreciation indexes for residential housing: A longitudinal approach,1977,Journal of Urban Economics,Peter T. Chinloy,,23.0,2561610d4e2dc46b2fa2a772f970938bfa8122139ab,10.1108/ijhma-05-2022-0080,A bibliometric analysis of six decades of academic research on housing prices,2022,International Journal of Housing Markets and Analysis,Na Li; R. Li,"257Purpose258This paper aims to provide a comprehensive bibliometric study of housing prices according to the articles collected by the Web of Science (WOS).259260261Design/methodology/approach262This paper studies 4,125 research papers on housing prices in the core collection database of WOS. Using VOSviewer, this paper makes a bibliometric and visual analysis of the housing prices research from 1960 to 2020 and probes into the housing prices research from five aspects: time, international cooperation, institutions author cooperation and research focuses.263264265Findings266Keywords such as influencing factors of housing prices, analysis of supply and demand, policy and housing prices and regional cities appear frequently, which indicates the main direction of housing price research literature. Recent common keywords include regression analysis and house price forecast. Countries, like the USA started early in the study of housing prices, and the means and methods in the field of housing price research are mature, leading the forefront of housing price research. Compared with the USA and other Western developed countries, the housing price research in developing countries needs to use innovative rese",22.0,2671cbf9355e1767b30bbcb83777ea40627ef2c9a17,10.1016/j.landusepol.2018.09.035,Local regulatory responses during a regional housing shortage: An analysis of rezonings in Silicon Valley,2019,Land Use Policy,C. Gabbe,"Abstract Scholars have partially blamed high housing prices in many metropolitan areas on residential density restrictions. Santa Clara County is the geographic heart of California’s Silicon Valley and is one of the most expensive counties in the U.S. for renters and homebuyers. This research answers two questions about how municipalities change their zoning. First, how common are rezonings? Second, what are the determinants of density-increasing “upzonings” and density-decreasing “downzonings”? This is the first study to analyze rezonings across neighboring municipalities and expands our limited explanations of rezonings. The three largest cities in Santa Clara County are analyzed using a parcel dataset with zoning at two time periods: 2006–2016 for San Jose and Sunnyvale, and 2012–2016 for the city of Santa Clara. Multinomial logistic regression models are used to compare the relative risk of a parcel being upzoned or downzoned compared with no zoning change. Little land was upzoned in the three cities. San Jose increased allowable residential densities on 0.6% of its parcel land area on average per year, while Santa Clara averaged 0.3% and Sunnyvale averaged 0.1% per year. Downz",22.0,2680c22e31b02cec497235852d9cad1fbd1ccd53a19,10.1371/journal.pone.0292259,"Land finance, infrastructure investment and housing prices in China",2023,PLoS ONE,Mengkai Chen; Ting Chen,"Housing prices in China have experienced rapid growth in recent decades, and land finance has long been discussed as an important factor in this growth. In this paper, we explore the interactions among housing prices, land transfer revenue and infrastructure investment from the perspective of government revenue and expenditure. Based on the panel data of 35 large and medium-sized cities in China from 2000 to 2017, the empirical results show that land transfer revenue, infrastructure investment and housing prices are causally related and result in positive feedback. The grouped regression results show that infrastructure investment has greater impacts on housing prices in eastern region cities than in the other cities. In contrast, in the central and western regions, land sales revenue has a greater impact on housing prices, indicating that cities in less-developed areas are more dependent on land finance than are those in more developed regions. Finally, we use the vector error correction model (VECM) to add control variables for robustness testing. The results show that land transfer income and infrastructure investment have a positive impact on housing prices. Our results provide",22.0,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292259&type=printable269doi_10_1034_j_1398_9995_2002_5720999_x,10.1034/j.1398-9995.2002.5720999.x,Predictors of high house dust mite allergen concentrations in residential homes in Sydney,2002,Allergy,S. Mihrshahi; G. Marks; C. Vanlaar; E. Tovey; J. Peat 3*,"Background: In parts of coastal Australia, house dust mite allergen concentrations in homes are often very high with at least 80% of homes in Sydney exceeding concentrations of 10 µg of allergen per gram of fine dust. In this study, we report the relation between characteristics of the home environment and house dust mite allergen concentrations at three sites in Sydney homes. Methods: A total of 616 families were recruited as part of the Childhood Asthma Prevention Study (CAPS). Information about the home environment and structural aspects of the home was collected using a questionnaire. Samples of dust were collected from the parents' bed, the bedroom floor and the living room floor and assayed for Der p 1. Results: A total of 68% of participants' beds, 65% of bedroom floors and 56% of living room floors had Der p 1 concentrations above 10 µg/g, with the highest concentrations of allergen in the bed. The most significant predictor of high Der p 1 concentrations in the bed and floors was the age of the home. We also found that beds with mattresses over two years old and with woollen or synthetic blankets or synthetic quilts had higher Der p 1 concentrations. Carpeted floors had hi",22.0,270doi_10_1080_00420980220119525,10.1080/00420980220119525,"A Methodology for the Disaggregate, Multidimensional Measurement of Residential Neighbourhood Type",2002,Urban Studies,Michael N. Bagley; Patricia L. Mokhtarian; Ryuichi Kitamura,"Binary designation of a residential neighbourhood as either traditional or suburban is a distortion of reality, since a location may have some characteristics of both types and since residents in different parts of the neighbourhood may perceive its character differently. This paper presents and applies a methodology for assessing neighbourhood type that results in a measure that is continuous rather than binary, disaggregate rather than aggregate, and potentially multidimensional. Specifically, 18 variables identified by the literature as distinguishing traditional and suburban locations are measured for 852 residents of 5 San Francisco area neighbourhoods. These data are factor-analysed to develop scales on which each individual has a person-specific score. Although we expected a single 'traditionalness' dimension to result, instead we found two factors: traditional and suburban. Study neighbourhoods could and did score highly on both dimensions, and considerable individual variation within neighbourhood was observed. By more accurately capturing the complexity in classifying a neighbourhood and the heterogeneity of individual perception within a neighbourhood, use of this method",22.0,27110abef3587f4ee11ad6f5bd7cb8f41b66d9dcb13,10.1016/j.ufug.2021.127348,"Amenities, disamenities, and decision-making in the residential forest: An application of the means-end chain theory to roadside trees",2021,Urban Forestry & Urban Greening,Danielle P. Kloster; A. Morzillo; B. Butler; T. Worthley; J. Volin,"Abstract The residential forest provides many amenities to communities, including aesthetics, air quality improvement, and higher property values. However, the residential forest may also contribute human-perceived problems or disamenities including allergens, leaf debris, infrastructure damage, and maintenance costs. Vegetation management by utility companies along power lines is one process that shapes the residential forest. Property owners’ decisions to consent or object to utility vegetation management may be influenced by perceived tree amenities and disamenities. To explore this decision-making process, we conducted 32 one-on-one semi-structured qualitative interviews with resident-homeowners who consented or objected to a utility company tree removal on their property between 2014 and 2017. The study area included several towns in eastern Connecticut, USA, representing urban, suburban, and exurban residential areas. We applied the means-end chain theory as a theoretical framework, and used laddering interviews to explore the tree amenities, disamenities, and values associated with trees. Attractiveness, shade, and privacy were the most frequently identified amenities of tre",21.0,https://doi.org/10.1016/j.ufug.2021.1273482721fd7f746c12644e57b6145d0d912e1f52caddba3,10.1007/s00168-010-0396-2,Immigration and urban housing market dynamics: the case of Haifa,2011,,A. J. van der Vlist; D. Czamanski; H. Folmer,"This paper addresses the interplay between demographics and housing market dynamics in Haifa, Israel. In the 1990s the city of Haifa, with a population of approximately 220,000, absorbed about 45,000 immigrants. The case of Haifa offers a typical non-controlled experiment on how demographic shocks and associated changes in housing demand affect the housing market. The dynamic adjustment of house prices is estimated using an autoregressive, distributed lag ADL model, taking into account spatial spillover effects. The data analyzed cover housing transactions in Haifa between January 1989 and June 1999. The data come from a mortgage database. We used a house price index by tract and by year to investigate the impact of immigration on house price dynamics for a balanced panel of 34 tracts and 11 years. Tests showed that for some of the tracts house price series are not unit root. Most individual series though indicated that a unit root could not be rejected so that we considered house price series as being non-stationary. Also, the hypothesis of no co-integration could not be rejected by the data. Due to inertia we considered lagged spatial spillover effects for the dependent variable.",21.0,https://link.springer.com/content/pdf/10.1007/s00168-010-0396-2.pdf273doi_10_1175_2009jtecha1290_1,10.1175/2009jtecha1290.1,Dual-Polarization Radar Characteristics of an Apartment Fire,2009,Journal of Atmospheric and Oceanic Technology,Thomas A. Jones; Sundar A. Christopher; Walt Petersen,"Abstract Dual-polarimetric microwave wavelength radar observations of an apartment fire in Huntsville, Alabama, on 3 March 2008 are examined to determine the radar-observable properties of ash and fire debris lofted into the atmosphere. Dual-polarimetric observations are collected at close range (<20 km) by the 5-cm (C band) Advanced Radar for Meteorological and Operational Research (ARMOR) radar operated by the University of Alabama in Huntsville. Precipitation radars, such as ARMOR, are not sensitive to aerosol-sized (D < 10 μm) smoke particles, but they are sensitive to the larger ash and burnt debris embedded within the smoke plume. The authors also assess if turbulent eddies caused by the heat of the fire cause Bragg scattering to occur at the 5-cm wavelength. In this example, the mean reflectivity within the debris plume from the 1.3° elevation scan was 9.0 dBZ, with a few values exceeding 20 dBZ. The plume is present more than 20 km downstream of the fire, with debris lofted at least 1 km above ground level into the atmosphere. Velocities up to 20 m s−1 are present within the plume, indicating that the travel time for the debris from its source to the maximum r",21.0,2740b0ca1be441ed4cbc27c138006009848619896e1,10.3390/app12010213,Analyzing Multiscale Spatial Relationships between the House Price and Visual Environment Factors,2021,Applied Sciences,Xue-Ning Liao; Ming-Yu Deng; Hongyu Huang,"House price is closely associated with the development of the national economy and people’s daily life. Understanding the spatial distribution characteristics and influencing factors of the house price is of great practical significance. Although a lot of attention has been paid to modeling the house price from structure and location attributes, limited work has considered the impact of visual attributes. Intuitively, a better visual environment may raise the surrounding house price. When aggregating multiple factors that influence house price, the multiscale geographically weighted regression (MGWR) provides a suitable solution. Specifically, the MGWR assigns each factor a bandwidth to model the spatial heterogeneity, e.g., a factor may have different influences at different places. In this paper, we introduce the visual environment factors into the MGWR method. In detail, we extract ten visual elements, e.g., sky, vegetation, road, from the Baidu street view (BSV) images, using a deep learning framework. We further define six visual environment factors to investigate their influence on house price. Based on the data from two representative Chinese cities, i.e., Beijing and Chongq",21.0,https://www.mdpi.com/2076-3417/12/1/213/pdf?version=1640575983275doi_10_1080_0042098993619,10.1080/0042098993619,Willingness to Pay for Better Housing in Hong Kong: Theory and Evidence (of Dwelling Space),1999,Urban Studies,Eddie Chi Man Hui,"The standards of Hong Kong's public housing have been widely criticised and today housing improvement is a major on-going concern. The cost of redeveloping early public housing presses hard on the territory, and the task is complicated by the fact that the households have diverse demands and preferences, amid their dissatisfaction. Although improved housing gives tenants a better living environment, the Hong Kong Housing Authority seems to have been reluctant to raise housing standards because of high costs. One way of recovering these costs is to charge higher rents—that is, to let tenants pay a greater share of the cost of public housing. But how much are households willing to pay for better housing? This paper addresses these problems by investigating the willingness to pay for housing amongst the tenants of existing early housing estates in Hong Kong, given their dissatisfaction with the current standards. First, we present the background of this study. Section two then provides an analytical framework which spells out the notion of willingness to pay in the context of demand for better housing; and specifies the willingness to pay model and its assumptions for demand analysis.",21.0,276https://openalex.org/W2172367695,10.18070/euiibfd.42448,HEDONIC ESTIMATION OF HOUSING MARKET PRICES IN TURKEY,2014,Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi,Rüştü Yayar; Derya DEMİR,"In this study, there has been aimed to determine the factors that affect the price of flats in the housing sector in Turkey with a hedonic pricing model. According to the model results, the house’s having residential swimming pool, a jacuzzi and a water tank, its being a duplex, its central heating system, its being closer to the center, the size of the house, the bathroom floor’s being vinyl or PVC, being closer to banking services and compulsory education services, its having cable TV, telephone lines and parking opportunities increases the value of the house. The house is in the basement or ground floor of the building construction date is first, the room is the floor of ceramic tiles, bathroom floor screed (concrete road) the fuel used is coal, reduces the value of the house.",21.0,277doi_10_1111_1540_6229_00042,10.1111/1540-6229.00042,Office Rent Processes: The Case of U.S. Metropolitan Markets,2002,Real Estate Economics,Rena Mourouzi‐Sivitanidou,"This paper synthesizes elements of the traditional and contemporary theory of real estate markets to formulate an empirical framework for exploring metropolitan office rent processes. Such a framework is then applied to the analysis of office rents across 18 U.S. office markets during 1986–1995. The empirical results underscore the sluggishness of rental adjustments, highlight the extent of rental disequilibria across markets, and uncover the role of office employment factors (such as size, diversity, spatial organization, growth rates, and volatility), construction costs, interest rates, amenities, and zoning in shaping interarea differentials in the equilibrium component of office rents.",21.0,27876e05c57f8d7d0018f3b6ab933e41e6ebb05bd0e,10.1080/12265934.2006.9693586,Amenity Valuing Differentiation in Residential Location Choice among Income Groups: A Stated Preference Approach,2006,,Jae Hong Kim,,21.0,279df474e76bff5e71bbfe9bdf218977ef7de66f758,10.1086/208992,Conservation Characteristics among Determinants of Residential Property Value,1984,,Molly Longstreth; Anne R. Coveney; J. Bowers,,21.0,2800a1f4157df5ae10cbac8a525c78d671b2ad52711,10.1007/s10901-023-10075-5,"Examination of the impacts of hospital accessibility on housing prices: heterogeneity across attributes, space and price quantiles",2023,Journal of Housing and the Built Environment,Zong-Ni Gu; Mi Tang; Xiao-Long Luo; Jian-Xi Feng,,21.0,2810135716b4fb4ddeeeae18295c4f5a64dcd588a41,10.1038/s41598-020-64506-2,Study on Average Housing Prices in the Inland Capital Cities of China by Night-time Light Remote Sensing and Official Statistics Data,2020,Scientific Reports,Chang Li; Heli Zhu; Xin-Yue Ye; Chang Jiang; Jing Dong; Di Wang; Yi-Jin Wu,"In this paper, the annually average Defense Meteorological Satellite Program-Operational Linescan System (DMSP/OLS) night-time light data is first proposed as a surrogate indicator to mine and forecast the average housing prices in the inland capital cities of China. First, based on the time-series analysis of individual cities, five regression models with gross error elimination are established between average night-time light intensity (ANLI) and average commercial residential housing price (ACRHP) adjusted by annual inflation rate or not from 2002 to 2013. Next, an optimal model is selected for predicting the ACRHPs in 2014 of these capital cities, and then verified by the interval estimation and corresponding official statistics. Finally, experimental results show that the quadratic polynomial regression is the optimal mining model for estimating the ACRHP without adjustments in most provincial capitals and the predicted ACRHP of these cities are almost in their interval estimations except for the overrated Chengdu and the underestimated Wuhan, while the adjusted ACRHP is all in prediction interval. Overall, this paper not only provides a novel insight into time-series ACRHP da",20.0,https://www.nature.com/articles/s41598-020-64506-2.pdf2820252d104afb4e873ff79a1771c12962cd324da1a,10.1016/j.landusepol.2014.10.006,Testing attribute selection and variation in a choice experiment to assess the tradeoffs associated with increased mining development,2015,,J. Rolfe; J. Windle,"Abstract Evaluating land use change in economic frameworks often requires non-market values to be assessed. However non-market valuation experiments can be sensitive to the way the tradeoffs are framed. The aim of the research reported in this paper was to examine the influence of varying the valuation scope and combination of attributes in a split sample choice experiment focused on assessing the impacts of increased mining activity (coal and coal seam gas) in the Surat Basin in southern Queensland, Australia. The region had traditionally been dominated by the agricultural sector. The survey was designed to assess the largely, but not exclusively, non-use values of a distant population (Brisbane (capital city) residents) for tradeoffs between positive and negative impacts, which incorporated economic, social and environmental issues. Four impact attributes were identified: (A) local jobs in the mining sector; (B) house prices in the non-mining sector; (C) wage rates in the non-mining sector, and (D) inspections and independent monitoring activity at coal seam gas mining sites (a proxy to address environmental concerns). The results indicate that varying the combination of attribut",20.0,https://figshare.com/articles/journal_contribution/Testing_attribute_selection_and_variation_in_a_choice_experiment_to_assess_the_tradeoffs_associated_with_increased_mining_development/1343158428304f422e09f33240e186db483f7eceae8e3bd6b03,10.3390/su12187520,Assessing the Impact of Public Rental Housing on the Housing Prices in Proximity: Based on the Regional and Local Level of Price Prediction Models Using Long Short-Term Memory (LSTM),2020,Sustainability,Hyunsoo Kim; Youngwoo Kwon; Yeol Choi,"Providing adequate public rental housing (PRH) of a decent quality at a desirable location is a major challenge in many cities. Often, a prominent opponent of PRH development is its host community, driven by a belief that PRH depreciates nearby property values. While this is a persistent issue in many cities around the world, this study proposed a new approach to assessing the impact of PRH on nearby property value. This study utilized a machine learning technique called long short-term memory (LSTM) to construct a set of housing price prediction models based on 547,740 apartment transaction records from the city of Busan, South Korea. A set of apartment characteristics and proximity measures to PRH were included in the modeling process. Four geographic boundaries were analyzed: The entire region of Busan, all neighborhoods of PRH, the neighborhoods of PRH in the “favorable,” and the “less favorable” local housing market. The study produced accurate and reliable price predictions, which indicated that the proximity to PRH has a meaningful impact on nearby housing prices both at the city and the neighborhood level. The approach taken by the study can facilitate improved decision mak",20.0,https://www.mdpi.com/2071-1050/12/18/7520/pdf284doi_10_1080_0042098993655,10.1080/0042098993655,The Inner-city Apartment versus the Suburb: Housing Sub-markets in a New Zealand City,1999,Urban Studies,Philip S. Morrison; Scott McMurray,"This paper addresses a new phenomenon in New Zealand—the growing demand for residence within the central business district. The construction of inner-city apartments has seen a ready response by local authorities keen to rejuvenate a demand for downtown services, by developers facing a slow-down in suburban growth and by absentee owners as well as owner-occupiers seeking to broaden their residential portfolios. The paper argues that, although we are witness to the emergence of a new and different housing sub-market, the inner-city apartment is in fact a natural extension of an existing demand for residence close to the city; its recent appearance as inner-city apartments is simply a reflection of the competition for inner-city land rather than the revealed preference of buyers for a wholly different type of housing. Far from turning their back on the single-dwelling unit, most apartment buyers seek dwelling attributes similar to those of their single-unit, suburban counterparts. What is unique to this new sub-market therefore is its location. The inner-city apartment is primarily a geographical reaction to the marked physical separation of residence, paid work and live entertainmen",20.0,2850fc53e7265f7b4fa68138b98f76a638c0ed79f05,10.1016/j.jue.2018.09.001,Potential crime risk and housing market responses,2018,Journal of Urban Economics,Seonghoon Kim; Kwan-Ok Lee,"Abstract We study how information on local (dis)amenities is transmitted and manifested in housing markets. Using nationwide data on multifamily homes in South Korea, we analyze heterogeneity in the effect of a sex offender's presence on sale prices and rents of nearby homes. Our results demonstrate that the price effect of the offender's move-in varies significantly by spatial context. People react more strongly and persistently to the move-in of the offender in places wherein indicators of social connectedness are stronger, such as places with relatively low population density. We also find that, unlike housing prices, rents do not change in response to the move-in of a sex offender. These heterogeneous housing market responses may be attributed to better acquisition of and higher sensitivity to information on local (dis)amenities among (potential) members in highly connected communities, particularly among homeowners. We interpret our findings as suggestive evidence that social capital and social networks are important sources of information on local (dis)amenities.",20.0,https://ink.library.smu.edu.sg/context/soe_research/article/3222/viewcontent/1_s2.0_S0094119018300718_main.pdf2860f8018b6c7f616bccc4e01208ee571810fd8d77a,10.1177/01939459211009561,"Social Determinants of Health, Environmental Exposures and Home Radon Testing",2021,Western Journal of Nursing Research,Stacy R. Stanifer; M. K. Rayens; A. Wiggins; Ellen J. Hahn,"Home radon testing is a primary lung cancer prevention strategy, yet the majority of Americans have not tested their home. This descriptive, ecological study uses 54,683 observed radon values collected in Kentucky homes from 1996 to 2016 to examine the association of county-level social determinants of health and environmental exposures on home radon testing rates. Multivariate linear regression analysis indicates that as median home value, rurality, and radon risk potential increased, counties experienced an increase in annual home radon testing rates. As adult smoking prevalence increased, counties experienced a decrease in annual rates of residential radon testing. These findings indicate that counties with low median home values, high adult smoking prevalence, and high incidence of lung cancer may benefit most from prevention interventions aimed at promoting home radon testing, adopting radon- and smoke-free home policies, and integrating radon risk reduction messaging into tobacco cessation and lung cancer screening programs.",20.0,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1095367728700fc37fe794692553cc3d7c7c36745cbe1ce0b33,10.2139/ssrn.2630920,Improved information shock and price dispersion: A natural experiment in the housing market,2019,Journal of Urban Economics,Danny Ben-Shahar; Roni Golan,"This research employs data from a natural experiment to assess the effect of improved price information shock on subsequent real estate transaction price dispersion. While transaction data in the Israeli real estate market had never been open to the public, in 2010 an Israeli court ordered the Israel Tax Authority to post all real estate transaction data on its website. We employ all housing transactions in the period prior and subsequent to this event to assess its effect on housing price dispersion. Results provide strong evidence of improved market efficiency as indicated by a significant decrease in the dispersion of quality-adjusted prices. We further find evidence that the information shock effect on price dispersion varies with households’ characteristics in the market. Our findings support the market transparency argument for promoting economic efficiency.",20.0,https://doi.org/10.2139/ssrn.26309202880c628164cfbee91ed7340d9675a9232db6237af0,10.1080/13504851.2020.1739612,Housing prices and carbon emissions: a dynamic panel threshold model of 60 Chinese cities,2020,,Shiwei Yu; Xing Hu; Juan Yang,"ABSTRACT In the past two decades, both housing prices and carbon emissions have risen dramatically in China. However, it is unclear whether there is a nexus between them. This study employs a dynamic panel threshold regression model using residents' income levels as the threshold variable to investigate the relationship between housing prices and per capita carbon emissions. By considering 60 Chinese housing price-monitored cities, a threshold effect of income on carbon emissions was identified with a threshold value of 2.448, which divided the full sample into two regimes to further analyse the impacts of housing prices on per capita carbon emissions at each income level. The empirical results show that housing prices have a slight but positive effect on per capita carbon emissions both at two income levels. Specifically, a 10% change in housing prices can lead to a change in the same direction in per capita carbon emissions by 0.7% and 0.2% at lower and higher average income levels, respectively. However, in small cities, limited population may contribute to the negative impact of housing prices on carbon emissions. Furthermore, the results also confirm that the urbanization rate",20.0,2891a86b82ceb72684c2378cc378f74ff983b491b46,10.3386/w25984,Hurricane Katrina Floods New Jersey: The Role of Information in the Market Response to Flood Risk,2019,,Nicholas Z. Muller; Caroline Hopkins,"This study uses hedonic property models to explore how coastal real estate markets subject to heterogeneous information treatments respond to flood risk. We identify reactions to flood risk, distinctly from price effects due to flood damage, by examining non-local flooding events. Utilizing a difference-in-difference methodology, we test whether the coastal real estate market in New Jersey responds to several well-publicized hurricanes and tropical storms that did not strike the Atlantic seaboard. We find that homes in high flood risk zones situated in towns that participate in public flood awareness activities incur a 7 to 16 percent decrease in price after the non-local shock.",20.0,http://www.nber.org/papers/w25984.pdf290dc47cac81189f5e880b4065fdfbf15a92754cdc8,10.1080/01446193.2012.677542,Housing attributes and Hong Kong real estate prices: a quantile regression analysis,2012,,L. Choy; Winky K.O. Ho; Stephen Mak,,20.0,29114a3da924746731fc3e87528b3a4dda3780c046f,10.3390/ijgi11080428,Explore the Correlation between Environmental Factors and the Spatial Distribution of Property Crime,2022,ISPRS Int. J. Geo Inf.,Li-Jian Sun; Guo-Zhuang Zhang; Dan Zhao; Ling Ji; Haiyan Gu; Li Sun; Xia Li,"Comprehensively understanding the factors influencing crime is a prerequisite for preventing and combating crime. Although some studies have investigated the relationship between environmental factors and property crime, the interaction between factors was not fully considered in these studies, and the explanation of complex factors may be insufficient. This paper explored the influence of environmental factors on property crime using factor regression and factor interaction based on data from the central city of Lanzhou, China. Our findings showed that: (1) The distribution of crime cases showed the pattern of a local multi-center. Shop density, hotel density, entertainment density and house price were the four dominant environmental drivers of property crime; (2) The relationship between the light intensity and property crime had different correlation explanations in temporal projection and spatial projection. There was a normal distribution curve between the number of property crimes and the Price-to-Earnings Ratio (PE Ratio) of the community house price; and (3) The results of the factor interaction indicated that the effect of all factors on crime showed a two-factor enhanceme",19.0,https://www.mdpi.com/2220-9964/11/8/428/pdf?version=16599208612920cf6696cdf08c80e557f1ac7a713b15bf33af749,10.1108/ijhma-04-2022-0064,Factors determining housing prices: empirical evidence from a developing country’s Pakistan,2022,International Journal of Housing Markets and Analysis,Muhammad Azam Khan; Niaz Ali; Himayatullah Khan; Chia-Yi-En Lim,"293Purpose294This study aims to explore empirically the impact of various factors/determinants on housing prices at the country level as well as in Lahore, the most populous metropolitan city of the most populous province Punjab, Pakistan.295296297Design/methodology/approach298This study uses monthly data ranging from 2013M1 to 2020M1 on variables used in the study. Based on the stationarity results, the method of robust least square is used as an estimation technique. The validity of initial results is also authenticated by canonical cointegration regression.299300301Findings302The empirical result reveals that all included variables significantly affect housing prices both at country level as well as in Lahore. This study found negative impact of regressor age, real exchange rate and urbanization on housing prices, whereas the positive impact of gross domestic product (GDP) per capita, foreign remittances, broad money and real interest rate on housing prices in the case of Pakistan was found. On the other hand, results unveiled the negative impact of regressor age (proportion of population aged between 15 and 64), real exchange rate and urbanization on housing prices, whereas the positive impact of ",19.0,303doi_10_1080_00420989650011555,10.1080/00420989650011555,Demand for Housing Attributes in Developing Countries: A Study of Pakistan,1996,Urban Studies,Hafiz A. Pasha; Mohammad S. Butt,"The paper has applied a conventional framework of analysis of implicit markets to determine the characteristics of demand for housing attributes of quantity and quality in the urban areas of a large, low-income developing country like Pakistan. Income elasticities generally appear to be low, although somewhat higher for indicators of quality. Own-price elasticities are high while the cross-price effects with respect to different attribute prices reveal the high degree of substitutibility among these attributes. Methodological innovations in the paper include the use of a weighted factor score for the measurement of housing quality and incorporation of the effect of changes in non-housing prices on demand for housing attributes. Given the large magnitude of own-price effects and the negative impact of a rise in non-housing prices, it appears that in the face of slow growth in real incomes and double-digit inflation in Pakistan residential overcrowding conditions are likely to worsen over time.",19.0,304doi_10_5632_jila_71_727,10.5632/jila.71.727,Analysis of Economic Effect of Green Spaces on Land Price in Residential Areas by Hedonic Approach,2008,Journal of The Japanese Institute of Landscape Architecture,Tetsuya AIKOH; Naruko SAKIYAMA; Yasushi SHOJI,,19.0,30520eb937d0616f29b0798a84fc6845e90a8a359a9,10.1007/s10901-020-09732-w,"Impacts of online shopping convenience and physical retail proximity on housing prices in Shenzhen, 2016–2018",2020,,Lu Shen; Yi-Ming He; Ling-Hin Li; K. Chau,,19.0,306doi_10_1080_105504999306063,10.1080/105504999306063,Residential Treatment for Dually Diagnosed Homeless Veterans: A Comparison of Program Types,1999,The American Journal on Addictions,Wesley J. Kasprow; Robert Rosenheck; Linda Frisman; Diane DiLella,"This study compared two types of residential programs that treat dually diagnosed homeless veterans. Programs specializing in the treatment of substance abuse disorders (SA) and those programs addressing both psychiatric disorders and substance abuse problems within the same setting (DDX) were compared on (1) program characteristics, (2) clients' perceived environment, and (3) outcomes of treatment. The study was based on surveys and discharge reports from residential treatment facilities that were under contract to the Department of Veterans Affairs Health Care for Homeless Veterans program, a national outreach and case management program operating at 71 sites across the nation. Program characteristics surveys were completed by program administrators, perceived environment surveys were completed by veterans in treatment, and discharge reports were completed by VA case managers. DDX programs were characterized by lower expectations for functioning, more acceptance of problem behavior, and more accommodation for choice and privacy, relative to SA programs after adjusting for baseline differences. Dually diagnosed veterans in DDX programs perceived these programs as less controlling ",18.0,307fb008325398f865f08d059330ed69601e5e5a516,10.1155/2016/6253915,"Residential Environment Induced Preference Heterogeneity for River Ecosystem Service Improvements: A Comparison between Urban and Rural Households in the Wei River Basin, China",2016,,Heng-Tong Shi; Min-Juan Zhao; Fanus Asefaw Aregay; K. Zhao; Zhi-De Jiang,"This paper assesses residential environment induced preference heterogeneity regarding ecosystem services improvements of a river basin by comparing urban and rural residents’ welfare estimates. In a choice experiment, the ecological improvements are described in terms of several observable ecological indicators set in an experimental design. Given the fact that economic and environmental conditions differ for urban and rural residents in China, the utility they derive from ecological restoration is hypothesized to differ. The urban and rural residents’ survey data were modeled separately using mixed logit models. The results reveal that water quality and water quantity, measured by unit of level improvement and percentage improvement, respectively, hold the highest marginal utility values in all respondents’ models. Urban and rural residents have the same preference regarding expanding soil erosion control areas and landscape improvement. However, they have statistically significant different utility for water quality, water quantity, forest coverage, ecotourism improvements, and reducing soil erosion intensity. Generally, urban residents express a higher implicit price for most o",18.0,https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2016/625391530823bae195ffb21d4792a92fe0f6128e1d9d51baa5,10.3390/economies13030076,Determinants of Household Debt: A Systematic Review of the Literature,2025,Economies,C. Chikeya; Lungile Ntsalaze,"Household debt plays a crucial role in influencing the performance of the economy and its vulnerability to shocks. This study synthesises studies on this topic. We used the systematic literature review technique to analyse 97 studies from the EBSCO, Google Scholars, Sabinet African Journals, SAGE, ScienceDirect, Scopus, Springer Link, Taylor and Francis, and Web of Science databases from 2004 to 2024. The results reveal that country-level and household-specific factors are important in explaining debt. We delineate supply-side and demand factors that drive debt. Country-level factors that explain indebtedness include housing prices, unemployment, economic growth, interest rates, inflation, and income levels. At the household level, factors such as education level, behaviour, social status, employment, house prices, income, family size, occupation, wealth, and marital status explain indebtedness. Policies impact loan types differently; therefore, due consideration should be taken and prescriptions should aim to address both supply and demand factors. Future studies should rely on AI-driven methods and techniques that utilise natural language processing capabilities such as sentiment",18.0,https://doi.org/10.3390/economies130300763091aab6ad8afd4b4b61c7114aadd452f448cfd0807,10.3390/land10101007,Nonlinear Influence of Public Services on Urban Housing Prices: A Case Study of China,2021,Land,Lei Gan; H. Ren; Wei-Min Xiang; Kun Wu; Weiguang Cai,"Owing to China’s rapid urbanization and internal migration, public services are unevenly distributed in cities, affecting urban housing prices. This study examines the dynamic effect of China’s public service levels on urban housing prices. We used the entropy method to calculate the public service index of 30 cities in China and a panel threshold regression model to explore the relationship between urban public service levels and housing prices. We found that the degree of the effect of public service levels on urban housing prices varies with the per capita disposable income of urban residents, demonstrating an inverted U-shaped curve. The role of public services in promoting urban housing prices increases with the increase in the level of urbanization. When the level of urbanization exceeds its threshold, the enhancement effect increases. These results help us better understand the theories of housing price changes in Chinese cities and support policymakers in formulating effective control measures for the housing market.",18.0,https://www.mdpi.com/2073-445X/10/10/1007/pdf?version=16326457433100492e5179a7e0d4a7da31842f122f359983d3412,10.1111/pirs.12512,Cross‐city spillovers in Chinese housing markets: From a city network perspective,2020,Papers in Regional Science,Yun-Long Gong; J. Haan; P. Boelhouwer,": Cross-city spillovers among housing markets are usually modelled by the classical spatial autoregressive models, which usually suffer from identification problems in practice. This paper investigates the cross-city house price spillovers arising from city network externalities wherein a city’s connections with other cities in the urban network create the external house price premium through productivity and amenity gains. Using a cross-sectional data set for an urban system in eastern China, we present significant evidence for positive network spillovers by the application of spatial lag of X model and spatial Durbin error model. Besides, common shocks are also proved to be responsible for cross-city dependence of house prices.",18.0,https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/pirs.12512311e75fbbcdb224eb8859a91c92c515f608c143f88a,10.1080/10511481003738419,The impact of real estate agents on house prices near environmental disamenities,2010,,A. Jauregui; D. Hite,,18.0,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=15890593121e03549752b036772f82492f3902ec97e7a2b43b,10.1007/s11146-009-9209-8,The Predictive Power of Anisotropic Spatial Correlation Modeling in Housing Prices,2011,,Bing Zhu; R. Füss; Nico B. Rottke,,18.0,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=17580053130c15a9969b7a287dc1fd59ce1d16567d5910357b,10.1080/01944363.2023.2174370,Arbitrary Lines: How Zoning Broke the American City and How to Fix It,2023,Journal of the American Planning Association,Umit Yilmaz; S. Hirt,"Long gone are the times when zoning seemed a subject fit for a narrow circle of experts. In the last decade or so, several noteworthy books on zoning have been published, alongside dozens, if not hundreds, of articles in America’s most august news outlets and thousands of social media posts and blogs. One major city after another—Miami (FL), Denver (CO), Minneapolis (MN)—has significantly revised their zoning ordinances, and states such as California and Oregon have initiated ambitious reforms as well. Zoning, dare we say, is becoming a fashionable topic of conversation even at the dinner table, and for a good reason: zoning has always been a deeply political and therefore debatable project but one that has artfully paraded as a mere technical tool. The purpose of M. Nolan Gray’s Arbitrary Lines is to show that zoning, which was invented more than a century ago to better our cities, improve living conditions, and reduce health hazards stemming from the coexistence of housing and polluting industry, has devolved into an arcane system of spatial division that seems to worsen the very problems its founders hoped to solve. Arbitrary Lines is a comprehensive, wellgrounded, and logically",17.0,314d5e10cfe9f71ec09cefc0d388ef0f58a828c23c2,10.1108/ohi-07-2023-0178,Modelling eco-friendly smart home appliances’ adoption intention from the perspective of residents: a comparative analysis of PLS-SEM and fsQCA,2024,Open House International,Razib Chandra Chanda; Ali Vafaei-Zadeh; Haniruzila Hanifah; T. Ramayah,"PurposeThis research aims to explore the factors influencing the adoption intention of eco-friendly smart home appliances among residents in densely populated urban areas of a developing country.Design/methodology/approachA quantitative research approach was employed to gather data from 348 respondents through purposive sampling. A comparative analysis strategy was then utilized to investigate the adoption of eco-friendly smart home appliances, combining both linear (PLS-SEM) and non-linear (fsQCA) approaches.FindingsThe results obtained from PLS-SEM highlight that performance expectancy, facilitating conditions, hedonic motivation, price value, and environmental knowledge significantly influence the adoption intention of eco-friendly smart home appliances. However, the findings suggest that effort expectancy, social influence, and habit are not significantly associated with customers' intention to adopt eco-friendly smart home appliances. On the other hand, the fsQCA results identified eight configurations of antecedents, offering valuable insights into interpreting the complex combined causal relationships among these factors that can generate (each combination) the adoption inte",17.0,31508caed8fe7ead5b595fd0ea3cd4cb5b07bc527f5,10.47002/metik.v7i2.608,Implementasi Framework Streamlit Sebagai Prediksi Harga Jual Rumah Dengan Linear Regresi,2023,Metik jurnal,Gita Ayu Syafarina; Zaenuddin Zaenuddin,"This research aims to develop an Artificial Intelligence (AI)-based application using the Streamlit framework to predict house sale prices in Banjarmasin City using Linear Regression methodology. The increase in demand and supply of properties in Banjarmasin City poses a complex challenge in determining house sale prices. The Linear Regression method was chosen as the primary analytical tool to identify factors influencing house sale prices. This application utilizes historical data of house sale prices and variables such as land area, building area, number of rooms, proximity to public facilities, and geographical location as inputs for the Linear Regression model. Furthermore, the Streamlit framework is employed to create an interactive and user-friendly interface for end-users. The outcome of this research is an AI application that assists potential buyers or sellers in Banjarmasin City in determining competitive prices. By inputting information about the property being evaluated, users can obtain a more accurate estimated sale price based on factors identified by the Linear Regression model. In testing the application, actual house sale price data from Banjarmasin City was used",17.0,https://journal.universitasmulia.ac.id/index.php/metik/article/download/608/344316016143f5f8a7d7abf613bb1307b269b6a1a964e3,10.1177/0361198119844464,"Impacts of Rail Transit Accessibility on Firm Spatial Distribution: Case Study in the Metropolitan Area of Washington, DC",2019,Transportation Research Record,H. Iseki; Hyunjoo Eom,"Agglomeration economies can arise in areas with high concentrations of firms, which can be facilitated by improved transportation accessibility. Accessibility can be improved by public transit infrastructure, especially in combination with careful planning for transit-oriented development (TOD) that creates compact, high density, mixed-use, and pedestrian-friendly built environments in proximity to public transit infrastructure. Although the literature on TOD has increasingly shown positive effects on residential development and property values, its effects on commercial and industrial development, location of firms, and associated agglomeration economies are less clear and require more empirical study. This study analyzes firm location patterns by industry/sector in the metropolitan area of Washington, DC and examines whether significant spatial clusters have developed in relation to: 1) the presence of Metrorail stations; and 2) the presence of specific industry firms in the earlier year, using kernel density analysis and multinomial logit (MNL) regression. The analysis results indicated that firms in certain industries, such as finance and insurance/real estate and public admini",17.0,31703c70028d8f9e9e8a1486b12a093d1fac7daa1a0,10.1111/1540-6229.12302,Getting High and Low Prices: Marijuana Dispensaries and Home Values,2019,Real Estate Economics,Justin Tyndall,"Laws concerning marijuana have recently undergone liberalization in many North American markets. The changing legal environment has enabled the establishment of retail marijuana dispensaries. Local externalities generated by dispensaries may impact home values, particularly by influencing demand for the surrounding neighbourhood. Recent empirical evidence has found a positive effect of dispensaries on home values. I use unique data on 84 dispensaries and 62,000 repeat home transactions from Vancouver, Canada to estimate the effect of dispensaries on home prices. Historical Google Street View images are used to construct a longitudinal record of dispensary activity. I find no evidence that dispensaries increase local home values in Vancouver and some evidence of a negative price effect for homes located within 100 meters of a dispensary. JEL: R21, R30, R31, R38 Housing, Marijuana, Local Amenity, Real Estate",17.0,318017b1a98d43f4b936bd29fd19f0d052996156b9f,10.1061/(asce)up.1943-5444.0000270,Heterogeneity in Spatial Correlation and Influential Factors on Property Prices of Submarkets Categorized by Urban Dwelling Spaces,2016,,C. Hui; Jia-Wei Zhong; Ka Yu,,17.0,http://hdl.handle.net/10397/5587231905ad9d8be0cb3e8795591d551590f6dbe54c5011,10.1108/ijhma-03-2015-0016,Hedonic appraisal of apartments in Tirana,2016,,Marsela Thanasi,,17.0,320045fd4913892c9cd1c907d8a70de85ac346e10f9,10.2139/ssrn.3403048,Do Credit Unions have Distinct Objectives? Evidence from Executive Compensation Structures,2019,Social Science Research Network,J. van Rijn; Shuwei Zeng; Brent Hueth,"Credit unions compete directly with for-profit commercial banks in markets for consumer financial services yet receive an exemption from federal corporate income tax. Commercial banks claim that credit unions are no different than for-profit banks and that the credit union tax exemption represents an unfair competitive advantage. Credit unions counter that while they offer similar products and services, they differ from commercial banks in terms of structure and mission, given their not-for-profit, cooperative status. In this paper, we test for substantive differences in the objective functions of for-profit commercial banks and nonprofit credit unions by comparing CEO compensation structures. We use a stylized principal-agent model and provide several arguments to support the hypotheses that credit union boards of directors establish lower-powered incentive contracts with their CEOs relative to similarly-sized commercial banks, and lower overall expected compensation. We find that credit union CEOs receive approximately two-and-a-half times less performance-based compensation relative to CEOs of similarly-sized “community” banks. Bank CEOs also earn approximately 10% to 20% more t",16.0,https://doi.org/10.2139/ssrn.3403048321091c2b6c01a01c92fb997628ece25a5da205121b,10.13060/23362839.2020.7.2.512,The Spatial Correlation between the Spread of COVID-19 and Vulnerable Urban Areas in Santiago de Chile,2020,,Francisco Vergara-Perucich; Juan Correa-Parra; Carlos Aguirre-Nuñez,"This article identifies the spatial correlation between the social determinants of health in the housing area (housing prices, overcrowding, poor-quality building materials, and household socioeconomic vulnerability) and the spread of COVID-19 in Santiago de Chile. The research used data from the 2017 Census conducted by the National Institute of Statistics of Chile and data on confirmed cases of COVID-19 (PCR) by communes provided by/obtained from Chile’s Ministry of Health. The article provides a two-fold examination/analysis of the spatial correlation using the Pearson measure to observe how the virus spread from areas with high-quality housing in the early stage of the contagion to then become concentrated in areas with low-quality of housing. The second examination/analysis is a multiple linear regression to identify the housing factors that inform virus propagation. The test results show that of the four social determinants of health relating to housing assessed here, housing prices is the variable that best predicts how the social determinants of health based on housing explain the progress of the pandemic for the Santiago case, following the collinearity factors according t",16.0,https://www.housing-critical.com/data/USR_057_DEFAULT/The_Spatial_Correlation_between_the_Spread_of_COVID_19_and_Vulnerable_Urban_Areas_in_Santiago_de_Chile(1).pdf322doi_10_1080_0042098993411,10.1080/0042098993411,General Trends in Financing Social Housing in Spain,1999,Urban Studies,Montserrat Pareja Eastaway; Ignacio San Martin,"The affordability of houses has become one of the main problems for Spanish families in recent decades. The government has been actively involved in designing policies to solve this problem. Theoretically, the characteristics of the housing stock and population always determine the type of public intervention. In the Spanish case, there are some features that give rise to a particular approach which is slightly different from that of the rest of Europe. The following elements, among other things, have been taken into account when designing housing policies in Spain: the cultural importance of home-ownership, the evolution of prices, the distinct condition of large cities such as Barcelona and Madrid, the high proportion of mortgage burdens in relation to family income and the role played by the several levels of government. In present Spanish housing policy, it is possible to identify at least two main trends. Both the 1992-95 scheme and the 1996-99 scheme seek to provide financial support, basically to the demand side, in order to promote ownership and reactivate the building sector as a way to expand the whole economy. The housing market in Spain is strongly influenced by governm",16.0,3233943621a5c3b1492be60d4355af708b93a119d48,10.1016/j.scitotenv.2020.142970,Do residential localities matter? Revisiting preference heterogeneity and ranking of ecological attributes of an inland river basin.,2020,Science of the Total Environment,Imran Khan; Hongdou Lei; Ihsan Muhammad; Min-Juan Zhao,"Recognition of public preferences and the assessment of the river basin are valuable for efficient river basin management, and improvement in ecological attributes of river basin can provide considerable non-market benefits. Accordingly, the current study examines the heterogeneity in preferences and ranking of river ecosystem services amongst residents on the basis of their willingness to pay (WTP) to enhance these services. Given the different environmental and economic conditions of urban and rural residents in China, their views on ecological restoration differ. Various Likert scales were used to explore residents' perceptions and ranking of ecological attributes. Findings revealed that urban and rural residents care about water for their daily life, with the mean value of 2.08 and 2.10 and the lowest standard deviation of 1.63 and 1.59, respectively where the range of scale is '1 is the most important and 7 is the least important'. Agricultural and industrial water, weather management in Yangsha Lake, vegetation restoration, biodiversity conservation and downstream ecological protection were the next most imperative ecological attributes. Moreover, the results from random para",16.0,324062c56d85edff3388ff119c298caa2ff2038f196,10.2139/ssrn.3710119,"Prudential Policies, Credit Supply and House Prices: Evidence from Italy",2020,Social Science Research Network,Pierluigi Bologna; Wanda Cornacchia; M. Galardo,"We estimate the causal effect of a mortgage supply expansion on house prices by using an exogenous change in prudential regulation: the abolition in 2006 of a banks' maturity transformation limit. After the repeal of the prudential rule, credit increased only for the banks that were previously constrained by the regulation, while it remained unchanged for the other banks. Such differential response rules out demand-based explanations and fully identify the rule abolition as an exogenous shock that we exploit as an instrument for mortgage supply expansion. We estimate the elasticity of house price growth to new mortgage credit to be close to 5 percent. Our results also show that the effect of a mortgage supply expansion on house prices significantly differs across municipalities' and borrowers' characteristics.",16.0,https://doi.org/10.2139/ssrn.37101193250aacbd1c40033f58cb820fc2b8c821979ad20ae5,10.1142/s179399331950011x,Labor Market and Household Debt in Asia Pacific Countries: Dynamic Heterogeneous Panel Data Analysis,2019,Journal of International Commerce Economics and Policy,Suhal Kusairi; S. Muhamad; M. Musdholifah; Shu-Chen Chang,"An overwhelming increase in household debt in the last decade has stirred researchers to explore the determinants of this phenomena, especially the role of the labor market. This paper comes to identify these determinants using the macro panel data from Asia Pacific countries for 1994–2016 and dynamic heterogeneous panel data analysis. The empirical results found that household consumption, housing price index, and labor force have a long-run positive relationship with household debt. In contrast, the unemployment rate and dependency ratio have a long-run negative relationship with household debt. This implies that when consumption, housing price, and labor force increase, then the household debt will increase, and when the unemployment rate and dependency ratio increase, the household debt will decrease. Also, in the short-run, public debt does affect private consumption, and it is not different among countries. The labor market, as represented by the unemployment rate, dependency ratio, and labor force, has a strong effect on the household debt in the long-run. Based on these findings, the government should pay more attention to the household debt related to property and commodit",16.0,326024be83eb57dd223f6419c3ab0e10b1fb5409a60,10.1016/j.jhe.2021.101807,Foreign buyer taxes and house prices in Canada: A tale of two cities,2021,Journal of Housing Economics,Zai-Chao Du; Hua Yin; Lin Zhang,"Abstract In August 2016, the government of British Columbia imposed a tax of 15% on foreign entities buying residential property in Vancouver. A similar tax was imposed in Toronto in April 2017. This paper empirically evaluates the effects of foreign buyer taxes (FBTs) on house prices in Vancouver and Toronto, using a variant of the panel program evaluation method with city-level data and a regression discontinuity design method with house-level transaction data. Our results show that the FBT reduced the house prices in Vancouver by around 5% from 2016:M08 to 2017:M12, and by something within the range of 7% to 9% in Toronto from 2017:M04 to 2017:M12. These effects were concentrated in the single-detached home segment in both cities.",16.0,327doi_10_1007_978_0_387_76815_1_9,10.1007/978-0-387-76815-1_9,Using Hedonic Models to Measure Racial Discrimination and Prejudice in the U.S. Housing Market,2008,Hedonic Methods in Housing Markets,Jeffrey E. Zabel,,16.0,328125777e71d438fe33364e306e7ff7e0698ed1710,10.15396/eres2016_227,Do the Determinants of House Prices Change over Time? Evidence from 200 Years of Transactions Data,2016,,Martijn Droes; A. van de Minne,,16.0,329035b609811b7e5a1813ba9f9ac043f416ad64a2c,10.3390/su15064966,Multi-Scale Geographically Weighted Elasticity Regression Model to Explore the Elastic Effects of the Built Environment on Ride-Hailing Ridership,2023,Sustainability,Zhenbao Wang; Xinghao Gong; Yu-Chen Zhang; Shu Liu; Ning Chen,"Understanding the relationship between the built environment and the ride-hailing ridership is crucial to the prediction of the demand for ride-hailing and the formulation of the strategy for upgrading the built environment. However, the existing studies on ride-hailing ignore the scale effect and zone effect of the modifiable area unit problem (MAUP), and show a lack of consideration for the elastic relationship with spatial heterogeneity between built environment variables and ride-hailing ridership. Taking Chengdu as an example, this paper selects 12 independent variables based on the “5Ds” (density, diversity, design, destination accessibility and distance to transit) of the built environment, the dependent variables are the density of ride-hailing pick-ups in the morning and evening peak hours, and 11 spatial units are proposed according to different scales and zoning methods for the aggregation of built environment variables and ride-hailing pick-ups. With the goal of global optimal goodness-of-fit, we determined the optimal spatial unit by using the log-linear Ordinary Least-Squares (OLS) model. A multi-scale geographically weighted elastic regression (MGWER) model is formul",15.0,https://www.mdpi.com/2071-1050/15/6/4966/pdf?version=16784505733301d29800bb679afac1c4a58ef1db23572606eb1e5,10.14246/irspsd.2.2_64,The Influence of Metro Station Development on Neighbourhood Quality,2014,,R. Kheyroddin; A. Taghvaee; Amir Forouhar,"Introducing urban public transportation facilities into a region often creates a significant opportunity to accelerate the process of development through affecting on the property values. Better access, more mobility options, and lower transportation costs are important factors that increase the land values of such regions, especially in blighted and poor neighbourhoods. This issue is important in Tehran Metropolis, because during the past decades an obvious kind of spatial segregation has been formed between the rich north (with high spatial quality) and the poor south (with low spatial quality) due to unequal distribution of opportunities and resources. On the other side, according to the population demand, Metro System is being developed rapidly in the city. Thus a comparative field study on the impacts of metro stations on property values in Tehran can represent not only the various impacts of metro station establishing on different urban textures, but also its consequences on reducing the spatial segregation in the city. We presume that the poor areas under discussion (southern regions) have received more benefits than the rich areas in terms of residential property values. So",15.0,https://www.jstage.jst.go.jp/article/irspsd/2/2/2_64/_pdf3311c95b70d1350b0c91dfd31b83516157ebe5ab0e8,10.21511/imfi.18(1).2021.09,Affordable housing for internally displaced persons: The priorities for investment and development in Ukraine,2021,Investment Management & Financial Innovations,L. Alekseyenko; O. Tulai; Y. Petrushenko; A. Kuznietsov; Julia Derkash,"The institution of home ownership provides for the functioning of affordable housing for low-income people and new groups in need of social protection, including the reintegration of migrants to new places of residence. The aim of the study is to substantiate the priorities of investments into affordable housing for internally displaced persons promoting their adaptation and social reintegration in the context of administrative-territorial decentralization.The study is based on use of empirical, economic and statistical methods, which in the process of correlation, regression and canonical analysis showed that many indicators that characterize the housing market are closely correlated with the scale and development level of administrative units in Ukraine. To characterize the state and investment attractiveness of the residential real estate market, a set of indicators was used in the modeling: population, the number of employed, household income, regional domestic product, volume of commissioned housing, construction investments, regional human development index, total housing stock, housing prices in the regions of Ukraine and Kyiv. The most significant parameter that affects the",15.0,https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/14641/IMFI_2021_01_Alekseyenko.pdf3320521610c0f25b694665320b4100532dee5696f33,10.1097/sla.0000000000004771,"Firearm Violence, Access to Care, and Gentrification",2021,Annals of Surgery,Dane R. Scantling; W. Orji; Justin S. Hatchimonji; Elinore J. Kaufman; D. Holena,"Objective: We aimed to determine whether gentrification predicts the movement of shooting victims over time and if this process has decreased access to care. Background: Trauma centers remain fixed in space, but the populations they serve do not. Nationally, gentrification has displaced disadvantaged communities most at risk for violent injury, potentially decreasing access to care. This process has not been studied, but an increase of only 1 mile from a trauma center increases shooting mortality up to 22%. Methods: We performed a cross-sectional study utilizing Philadelphia Police Department (PPD) and Pennsylvania trauma systems outcome (PTOS) data 2006–2018. Shootings were mapped and grouped into census tracts. They were then cross-mapped with gentrification data and hospital location. PPD and PTOS shooting data were compared to ensure patients requiring trauma care were captured. Census tracts with ≥500 residents with income and median home values in the bottom 40th percentile of the metropolitan area were eligible to gentrify. Tracts were gentrified if residents ≥25 with a bachelor's degree increased and home price increased to the top third in the metropolitan area. Change in ",15.0,333035ed89553c2da84a39c0d8ad2a43091aa44ca59,10.1038/s41598-023-49308-6,"Analysis of spatial variation of street landscape greening and influencing factors: an example from Fuzhou city, China",2023,Scientific Reports,Bowen Jin; Jianwei Geng; Shan Ke; Hui Pan,"Urban street greening is an important part of urban green infrastructure, and Green View Index (GVI) is widely used to assess urban street quality and ecosystem service value as an important indicator to quantify the perception of green street landscape from a pedestrian perspective. However, the distribution of street greenery is imbalanced. Therefore, to explore the differences in street greening levels within urban cities, we crawled streetscape data using the Internet to assess the spatial distribution patterns of urban street GVI using deep learning and spatial autocorrelation, and combined 11 surrounding environmental features with multi-source geographic data to further analyze the key factors influencing the spatial variation of block GVI using ordinary least squares, geographically weighted regression (GWR) models, and multi-scale geographically weighted regression (MGWR) models. The results show that the mean value of GVI in Fuzhou city is low (23.08%), with large differences among neighborhoods and a significant spatial autocorrelation. Among the regression models, MGWR has the best fit with an R^2 of 0.702, where the variables of NDVI, house price, accessibility of wate",15.0,https://www.nature.com/articles/s41598-023-49308-6.pdf334127bc4b2e49c4eb9cdf552f5bd85d16d8cac2b79,10.3390/ijgi13040108,Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data,2024,ISPRS Int. J. Geo Inf.,Hui Zhang; Yu Cui; Yanjun Liu; Jian-Min Jia; Baiying Shi; Xiaohua Yu,"Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS–metro trips. Then, DBS trip data, metro passenger data, socioeconomic data, and built environment data in Shanghai are used to analyze the spatiotemporal characteristics of integrated trips and the correlations between the integrated trips and the explanatory variables. Next, multicollinearity tests and autocorrelation tests are conducted to select the best explanatory variables. Finally, a geographically and temporally weighted regression (GTWR) model is adopted to examine the determinants of integrated trips over space and time. The results show that the integrated trips account for 16.8% of total DBS trips and that departure-transfer trips are greater than arrival-transfer trips. Moreover, the integrated trips are concentrated in the central area of the city. In terms of impact factors, it is found that GDP, government count, and restaurant count are negatively correlated with the number of integrated trips, while house price, entropy of land use, transfer accessi",15.0,https://www.mdpi.com/2220-9964/13/4/108/pdf?version=1711277000335doi_10_1108_14635789810237556,10.1108/14635789810237556,Pricing upwards‐only rent review clauses,1998,Journal of Property Valuation and Investment,Charles Ward; Patric H. Hendershott; Nick French,"Complicated leasing terms make both the valuation of lease contracts and the calculation of effective rent levels difficult. These complications are compounded by the existence of option‐like features in many contracts. For example, retail leases in the USA generally have overage rent clauses that allow the landlord additional rent if sales exceed a breakpoint, but set a minimum rent level under any sales conditions. Similarly, upward‐only rent review clauses are common in the UK and Australia (as well as other commonwealth countries). Here the rent is fixed at the commencement of the contract, with the option to review the rental figure in line with market conditions at pre‐determined intervals (normally every five years). If rents in the market have increased over the interim period, the rent of the subject property will be adjusted upwards accordingly and this higher level becomes the minimum possible future rent. However, if market rents have either remained static or decreased, the landlords would choose not to operate the rent review clause and the existing rent will continue. The US overage contract can be valued using a binomial approach. The upward‐only adjusting leases ca",15.0,3360690531c726712376c913c3d4bc3ff3bffb2fdfd,10.1016/j.landusepol.2018.08.012,Large-scale simultaneous market segment definition and mass appraisal using decision tree learning for fiscal purposes,2018,Land Use Policy,Fabián Reyes-Bueno; J. García-Samaniego; A. Sánchez-Rodríguez,"Abstract Cadastral assessment aims at guarantying equity in the allocation of property taxes. Therefore, we must be able to massively determine property values through models that reflect, with the minimum error, the behaviour of land market in each region. Despite this imperative need, currently land valuation for cadastral purposes is plagued with subjectivity. A very extended bad practice for instance is to assume that variables of productive performance i.e. land use capacity, are the ones with the highest influence on land value formation in the rural sector. The former assumption largely ignores the plethora of rural land uses that exist nowadays. To open the door to less subjective methodologies of land mass appraisal we borrowed statistical methodologies from the field of data-mining and applied them to a dataset of 410 purchase-sale transactions (2003–2009) of land plots located in the rural sector of the Vilcabamba parish (southern Ecuador). Land market behaviour in Vilcabamba responds to a transition from a pure agricultural territory to a touristic one at which many second-homes are being built for leisure. Our results demonstrate the applicability of methodologies such",15.0,337doi_10_3917_mouv_074_0143,10.3917/mouv.074.0143,Un logement foncièrement solidaire : le modèle des community land trusts,2013,Mouvements,Jean-Philippe Attard,"Inéquitables, parce qu’elles absorbent une partie de la richesse socialement produite, les plus-values foncières induisent aussi une ségrégation spatiale dans les zones tendues, en verrouillant l’accès du marché immobilier aux catégories de la population à revenu modeste. La taxation des plus-values demeure la réponse privilégiée par les pouvoirs publics, bien que ses résultats ne paraissent pas à la mesure de l’enjeu. Les organismes américains connus sous le nom de community land trusts ont opté pour une autre solution : une démarchandisation du foncier couplée à une restriction conventionnelle des droits du propriétaire sur son logement. Selon ce modèle, une limitation librement consentie des plus-values au moment des reventes garantit l’accessibilité permanente des unités de logements aux ménages à faible revenu. Avec près de trente ans d’exercice, leur bilan démontre l’efficacité d’un usage du foncier comme patrimoine social, vecteur de solidarité dans l’accès au logement.",15.0,338doi_10_13043_dys_55_3,10.13043/dys.55.3,La vivienda en Colombia: sus determinantes socioeconómicos y financieros,2005,Desarrollo y Sociedad,Sergio Clavijo; Michel Janna; Santiago Muñoz,"This document provides an overview of the housing system in Colombia and explores its socioeconomic and financial determinants. Our recommendations aim at improving basic data collection regarding the construction sector, household socioeconomic conditions, and mortgage markets. We also estimate a simultaneous econometric model for the housing market in Colombia covering quarterly-data over the period 1991-2004. On the demand side, we found that area of approvedlicenses is highly elastic to households’ disposable income, prices of new-housing, and real interest rates charged in mortgage credits. On the supply side, we found a high input-cost elasticity and a moderate response to wealth effects. These results proved to be robust to different proxies and diverse estimation procedures.",15.0,339doi_10_1108_09596119710185855,10.1108/09596119710185855,Town house hotels ‐ an emerging sector,1997,International Journal of Contemporary Hospitality Management,Roger J. Callan; Ruth Fearon,"Town house hotels are a small but expanding segment of the UK hotel sector. Little has been published about them and the article sets out to provide a background and some characteristics of the sector. Indicates definitions together with some assessment of the size of the sector. Presents operational characteristics such as food and beverage services, security, design, staffing and pricing strategies. Considers marketing approaches, as well as the question of hotel classification and grading. Concludes that recent developments indicate a continued growth of a product which aims to differentiate itself from its competitors by personal service and good value.",15.0,3406c89bbace72e713f2d6d3f1acb8f13bd0297289e,10.1108/ijhma-04-2017-0043,House prices and neighbourhood amenities: beyond the norm?,2018,,M. McCord; P. Davis; P. Bidanset; W. Mccluskey; John McCord; M. Haran; Sean Macintyre,,15.0,https://pure.ulster.ac.uk/en/publications/10426ce1-5459-411f-a02d-e08ad50edc7a341aaf6de3c96739d358234d1744b5d34cb144f9300,10.1177/0042098016665955,Market heterogeneity and the determinants of Paris apartment prices: A quantile regression approach,2017,,Charles-Olivier Amédée-Manesme; Michel Baroni; Fabrice Barthélémy; Francois Des Rosiers,,15.0,342doi_10_1038_ijo_2009_66,10.1038/ijo.2009.66,"Location, location, location: the CNS sites of leptin action dictate its regulation of homeostatic and hedonic pathways",2009,International Journal of Obesity,G M Leinninger,,15.0,343045ff0f8219d9fbe3eb7a54c3ddea8277108cc97,10.1061/jupddm.upeng-4434,"Multilevel Impacts of Urban Amenities on Housing Price in Tehran, Iran",2023,Journal of urban planning and development,A. Soltani; N. Zali; Roghayeh Mirzaei; M. Heydari; Ali Rahimi; Arman Hamidi,,15.0,34414830e06695622897e29e489b03d04bfe328eee5,10.1016/j.ssmph.2018.100339,"Soda, salad, and socioeconomic status: Findings from the Seattle Obesity Study (SOS)",2018,SSM: Population Health,A. Drewnowski; James H. Buszkiewicz; A. Aggarwal,"Background Documenting geographic disparities in dietary behaviors can help inform public health interventions at the local level. Objective To study and visualize socioeconomic gradient in soda and salad consumption using a geo-localized measure of socioeconomic status in contrast to more traditional measures. Methods Geo-localized dietary intake data came from the Seattle Obesity Study I, a population-based sample of King County adults (n=1099). Socio-demographic data and soda and salad consumption frequencies (times/week) were obtained by 20-min telephone survey. Food frequency questionnaire (FFQ) data were used to construct Healthy Eating Index (HEI) scores. Individual residential property values obtained from the King County tax assessor. Multivariable linear regressions examined socioeconomic gradient in the frequency of soda and salad consumption by residential property values, the primary independent variable, in comparison to annual household incomes and educational attainment, with adjustment for age, gender, and race/ethnicity. Geographic disparities in soda and salad consumption by property value metric were illustrated at the census block level using modeled predicted ",14.0,https://www.sciencedirect.com/science/article/pii/S2352827318301113/pdf34512d69a69df98515685c590806adfcf8ccf0ca819,10.1155/2021/6265751,"Geospatial Analysis and Research on Social and Spatial Inequality of Compulsory Education: A Case Study of Hangzhou, China",2021,Complex,G. He; Qinshi Huang,"Equal compulsory education is an important way to realize social and spatial equality, while the uneven allocation of educational resources in different regions and groups results in inequality of opportunity and solidification of social strata. Traditional research conducted on the basis of fixed search range ignores the special institutional background of Chinese school district system. In this paper, an improved Gaussian two-step floating catchment area model is developed taking into consideration the school district system, while the bivariate local spatial analysis method and geographically weighted regression model are employed to study the social and spatial differentiation of compulsory education accessibility and its capitalization effects in Hangzhou. Results show that (1) the improved Gaussian two-step floating catchment area model is more in line with the national condition of China’s “nearby schooling” policy; (2) the accessibility of compulsory schools in Hangzhou shows an obvious core-periphery typology, and the aggregation effect of primary school accessibility is more significant than that of secondary schools; (3) compared to groups with high socioeconomic status,",14.0,https://downloads.hindawi.com/journals/complexity/2021/6265751.pdf3469b167268c26bd9296b02d777ed26f0e9b5134e42,10.1080/09599916.2019.1651755,"Sales comparison approach, multiple regression analysis and the implicit prices of housing",2019,Journal of Property Research,G. Lisi,"ABSTRACT By using two of the main evaluation methods, namely the sales comparison approach and the multiple regression analysis, this paper points out the key role of implicit prices of housing characteristics in real estate appraisal. Firstly, this paper confirms the close link existing between the sales comparison approach and the multiple regression analysis. Furthermore, unlike examples in the related literature, this paper highlights the difference between marginal and implicit prices of housing characteristics. Although the related literature expresses awareness of the methodology for calculating marginal and implicit prices, there appears to be less awareness that implicit prices can: 1) lead to an estimate of the house price that is different from the regression model-predicted price; 2) replace the crucial and non-trivial phase of adjustment and reconciliation that characterises the main appraisal method, namely, the popular Sales Comparison Approach. Finally, an empirical analysis provides evidence of the key role of implicit prices in estimating house value.",14.0,347182f1b80e010899e69f3cd5b79c8406a971aa002,10.1016/j.jhe.2020.101734,Measuring aggregate housing wealth: New insights from machine learning ☆,2021,Journal of Housing Economics,J. Gallin; Raven S. Molloy; E. Nielsen; Paul A. Smith; K. Sommer,"Abstract We construct a new measure of aggregate housing wealth for the U.S. based on (1) home-value estimates derived from machine learning algorithms applied to detailed information on property characteristics and recent transaction prices, and (2) Census housing unit counts. According to our new measure, the timing and amplitude of the recent house-price cycle differs materially but plausibly from commonly-used measures, which are based on survey data or repeat-sales price indexes. Thus, our methodology generates estimates that should be of considerable value to researchers and policymakers interested in the dynamics of aggregate housing wealth.",14.0,348169f0a1bdf5551c551fd8dbb983472cd610e2923,10.1016/j.habitatint.2024.103151,Population shrinkage and its influence on housing prices: A mediation perspective based on commercial amenities,2024,Habitat International,Mingke Xie; Zhang-Xian Feng; Hao-Ming Guan; Fei-Long Hao; Shi-Jun Wang; Xiaodong Chang,,14.0,34903eec3772244f68fc612d4211d0f55940aacd3ff,10.1177/2399808318805489,Composition and context drivers of residential property location value as a socioeconomic status measure,2018,Environment and Planning B Urban Analytics and City Science,N. Coffee; Tony Lockwood; Peter Rossini; T. Niyonsenga; S. McGreal,"Research applying residential property value as a socioeconomic status measure is increasing. The literature includes several measures of residential property value socioeconomic status, all of which highlight location as an important component. This paper examines the drivers of the location component of residential property value that form the basis of its application as a socioeconomic status measure. The metropolitan area of Adelaide, South Australia, is used as a study area to analyse the composition and context embodied in residential property location value. The focus of this paper is to provide an understanding of the drivers of residential property value calculated as the relative location factor, deliberately constructed to reflect the effect on value due to location. The analysis reduced the traditional composition measures of social structure into a smaller number of factors using principal component analysis and regressed these against relative location factor. A spatial lens was applied to the results using Moran’s I to visualise the composition and context influence embodied in relative location factor. The results provided a significantly enhanced understanding of b",13.0,https://pure.ulster.ac.uk/en/publications/40d5c427-01bf-44a3-8746-b441a8028f9d35014d49fbf547fa4f5eb292cfa2b50afd9c6d0fc45,10.3390/ijgi11030178,A Map-Based Recommendation System and House Price Prediction Model for Real Estate,2022,ISPRS Int. J. Geo Inf.,M. Mubarak; A. Tahir; Fizza Waqar; Ibraheem Haneef; G. Mcardle; M. Bertolotto; Muhammad Saeed,"In 2015, global real estate was worth $217 trillion, which is approximately 2.7 times the global GDP; it also accounts for roughly 60% of all conventional global resources, making it one of the key factors behind any country’s economic growth and stability. The accessibility of spatial big data will help real estate investors make better judgement calls and earn additional profit. Since location is deemed necessary for real estate and consequent decision-making, digital maps have become a prime resource for real estate purchases, planning and development. Personalisation can assist in making judgments by identifying user desires and inclinations, which can then be recorded or captured as a user performs some interactions with a digital map. A personalised real estate portal can use this information to suggest properties, assist homeowners and provide valuable real estate analytics. This article presents a novel framework for recommending real estate to users. By monitoring user interactions through an online real estate portal, the framework can make personalised recommendations of real estate based on content, collaboration and location. The effectiveness of the recommendations wa",13.0,https://www.mdpi.com/2220-9964/11/3/178/pdf?version=16467187043511a01703b5b5429fe2c17dcc7497d6d160ce2fefa,10.1155/2022/7949252,Housing Price Appreciation Effects of Elevator Installation in Old Residential Areas: Empirical Evidence Based on a Multiperiod DID Model,2022,Advance in Civil Engineering,Shichang Ma; Tingting Li; Yunfan Yang,"Scientific measurement of the appreciation effect of house prices after the installation of elevators in old residential areas would help build a reasonable urban renewal investment mechanism. Based on the transaction data of second-hand houses in old residential areas with elevators installed in Beijing from 2016 to 2021, a multiperiod DID model is constructed to measure the appreciation effect, dynamic effect, and heterogeneity effect brought by the installation of elevators and to explore the mechanism of the appreciation effect. The research results show that, overall, the installation of elevators boosts the house prices of the entire community, and the appreciation effect appears in advance due to good market expectations. However, the effect of house prices varies by floor. The higher the floor, the greater the appreciation of house prices, while low-rise residential buildings are depreciated by the installation of elevators. Mechanistic research shows that the appreciation of house prices on high floors is mainly due to the improvement in the living environment, and factors such as noise and poor lighting lead to depreciation on lower floors. The results of quantile regress",13.0,https://downloads.hindawi.com/journals/ace/2022/7949252.pdf3520ec3e1e48359bf8e133d08da95768923657024ae,10.1007/978-3-030-11674-3_16,The Korean Housing Market: Its Characteristics and Policy Responses,2019,Hot Property,Ho Soon Shin; H. Yi,"The Korean housing market has gained strength centering around the Seoul metropolitan area (SMA) since 2014, when it started to recover. Against the backdrop of low interest rates, the easing of real estate regulations has pushed up expectations of higher housing prices, which has led to greater demand for housing as an investment. Expectations of housing price rises, coupled with greater incentives for financial institutions to provide home mortgage loans, have caused household debt to grow rapidly. In order to stabilize the housing market in the SMA and contain the rapid household debt buildup, the Korean government has instituted comprehensive and tailored policy responses since the second half of 2017. The government’s sweeping responses cover many different areas, including macroprudential, housing and tax policies. The ranges and intensities of the policies differ by region, by household status (whether it owns houses or has taken out mortgage loans) and by the type of demand (speculative or residential) so as to increase their effectiveness and minimize any negative side effects. Thanks to the government’s policy responses, the rapid buildup of household debt has slowed rece",13.0,https://link.springer.com/content/pdf/10.1007%2F978-3-030-11674-3_16.pdf353073706be83cb1e39eaced7d31f2a53c5f0a45c78,10.3390/su131910544,The Willingness to Pay for Residential PV Plants in Italy: A Discrete Choice Experiment,2021,Sustainability,Paolo Bragolusi; C. D’Alpaos,"PV energy generates economic and environmental benefits (e.g., energy cost-saving, GHG emissions reduction, etc.), which can be capitalized into market prices. There is, therefore, growing interest in assessing the value that PV systems add to solar homes (i.e., homes equipped with PV production plants) market prices. Although the number of solar homes has experienced rapid growth in Europe and Italy, literature investigating the impact of PV power plants on home values is still very limited. This paper aims to fill this gap. We implement a Discrete Choice Experiment (DCE) approach to estimate individuals’ WTP for different typologies of domestic PV plants, which vary in technical characteristics. Our findings show that homebuyers are willing to pay a price premium for solar homes, ranging from some 3% to some 15%, depending on PV panels’ characteristics. These results can provide a wealth of recommendations to different interested parties such as homeowners, homebuyers, realtors, and governments, seeking knowledge on the capitalization effect of residential PV plants on the housing market to implement cost-effective investment strategies or design optimal policy incentives.",13.0,https://www.mdpi.com/2071-1050/13/19/10544/pdf?version=16323940563541071acfa2b77951ffe64ddc339fdeaef35386d66,10.2139/ssrn.3275427,"Urban Wage Premia, Cost of Living, and Collective Bargaining",2019,Social Science Research Network,Marianna Belloc; Paolo Naticchioni; Claudia Vittori,"In this paper, we estimate nominal and real (in temporal and spatial terms) urban wage premia (UWP) in Italy, with its economy characterized by the interplay between collective wage bargaining and spatial heterogeneity in the cost of living. Our dataset for the 2005- 2015 period includes, for workers' characteristics, unique administrative data provided by the Italian Social Security Institute and, for the local CPI computation, housing prices detailed at a fine level of spatial aggregation delivered by the Italian Revenue Agency. For employees covered by collective bargaining, we find a zero UWP in nominal terms and a negative and non-negligible UWP in real terms (-2.6% when all controls are included). To capture the role played by centralized wage settings, we consider various groups of self-employed workers, who are not covered by national labour agreements, while living in the same locations and enjoying the same amenities as employees. We find that, differently from employees, selfemployed workers enjoy a positive UWP in nominal terms, and do not suffer from urban real wage penalties. Results hold under a large array of robustness checks.",13.0,https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdocs.iza.org%2Fdp12806.pdf;h=repec:iza:izadps:dp128063550458ca7d9e607d82ef7ecac7edec0c53e1e423b8,10.1108/ijhma-06-2022-0090,Are expensive decisions impulsive? Young adults’ impulsive housing and real estate buying behavior in India,2022,International Journal of Housing Markets and Analysis,Satleen Kaur Sehra; Benny J. Godwin; Jossy P. George,"356Purpose357The purpose of the study is to determine website quality, materialism, psychological factors, hedonic value and social media as factors that influence the young adults’ impulsive housing and real estate buying behavior in India. In addition, this study also measures the mediating effects of social media influence between psychological factors and hedonic value and young adults’ impulsive housing and real estate buying behavior.358359360Design/methodology/approach361Related literature, quantifiable variables with a five-point Likert Scale, hypothesis testing and mediators are used to study the model. A systematic questionnaire that was divided into six sections was used. A total of 385 valid responses were collected and analyzed through a structural equation model.362363364Findings365The results suggest that materialism, psychological factors and social media have a considerable impact on young adults’ impulsive housing and real estate buying behavior. The findings also ascertained that website quality and hedonic value do not have a considerable impact on young adults’ impulsive housing and real estate buying behavior.366367368Research limitations/implications369This study is limited to the respo",13.0,3701236896de2c32ad85290c633f6d111a6526aa83d,10.3846/ijspm.2019.6361,ARE HOUSING PRICE CYCLES ASYMMETRIC? EVIDENCE FROM THE US STATES AND METROPOLITAN AREAS,2018,International Journal of Strategic Property Management,C. André; Rangan Gupta; J. M. Mwamba,"This paper investigates asymmetry in US housing price cycles at the state and metropolitan statistical area (MSA) level, using the Triples test (Randles, Flinger, Policello, & Wolfe, 1980) and the Entropy test of Racine and Maasoumi (2007). Several reasons may account for asymmetry in housing prices, including non-linearity in their determinants and in behavioural responses, in particular linked to equity constraints and loss aversion. However, few studies have formally tested the symmetry of housing price cycles. We find that housing prices are asymmetric in the vast majority of cases. Taking into account the results of the two tests, deepness asymmetry, which represents differences in the magnitude of upswings and downturns, is found in 39 out of the 51 states (including the District of Columbia) and 238 out of the 381 MSAs. Steepness asymmetry, which measures differences in the speed of price changes during upswings and downturns, is found in 40 states and 257 MSAs. These results imply that linear models are in most cases insufficient to capture housing price dynamics.",13.0,https://journals.vgtu.lt/index.php/IJSPM/article/download/6361/550837108aedb0bfc42128a001a640a59fe26d03310ca1a,10.9770/jesi.2014.1.3(5),Processes of economic development: case of Lithuanian real estate sector,2014,,R. Korsakienė; M. Tvaronavičienė,"The enlargement of the EU has impacted development of housing market in Lithuania as well as in other Central and Eastern countries. The country was significantly influenced by favorable landing and expansion of private sector credit. Hence, Lithuania experienced the period of the financial and asset price boom, which was followed by economic downturn, and consequently, the burst of price bubble. This paper aims to reveal relationships among demand and supply side determinants and housing prices. Hence, the question is being raised if fundamental determinants affect housing prices. The growing dependence of Lithuania on energy resources leads us towards another research question. We will test if housing prices are linked to energy prices. Regression analysis tool, we believe, allows revealing if fundamental determinants are equally important.",13.0,https://doi.org/10.9770/jesi.2014.1.3(5)372doi_10_1029_2008wr007281,10.1029/2008wr007281,Using hedonic property models to value public water bodies: An analysis of specification issues,2009,Water Resources Research,Nicholas Z. Muller,"The hedonic literature has established that public water bodies provide external benefits that are reflected in the value of nearby residential real estate. The literature has employed several approaches to quantify these nonmarket services. With a residential hedonic model, this paper tests whether model specification affects resource valuation using an actively managed reservoir in Indiana and a passively managed lake in Connecticut. The results indicate that valuation is quite sensitive to model specification and that omitting either the waterview or waterfront variables from the hedonic function likely results in a misspecified model. The findings from this study are important for researchers and public agencies charged with managing water resources to bear in mind as the external benefits from existing or proposed man‐made lakes and reservoirs are estimated. Therefore, while it requires considerably more effort to determine which properties are in waterfront locations and which properties have a view, the potential mispecification of “distance‐only” models likely justifies these extra research costs. Further, the findings in this analysis call into question results from distan",13.0,373doi_10_24201_edu_v32i1_1615,10.24201/edu.v32i1.1615,Los costos de la expansión urbana: aproximación a partir de un modelo de precios hedónicos en la Zona Metropolitana del Valle de México,2017,Estudios Demográficos y Urbanos,José Alberto Lara Pulido; Gabriela Estrada Díaz; Juan Carlos Zentella Gómez; Alejandro Guevara Sanginés,"La Zona Metropolitana del Valle de México (ZMVM) ha experimentado una expansión no proporcional al crecimiento poblacional. Entre otras modalidades de poblamiento, la construcción de grandes conjuntos habitacionales periféricos propicia esa expansión, imponiendo costos individuales y sociales. Se revisan aquí las características de la expansión urbana en la ZMVM y las condiciones de producción de vivienda social periférica, la pérdida de ingreso de los individuos derivada de la distancia a los centros de trabajo y, a través de un modelo de precios hedónicos, se estima el rol de esa distancia en el diferencial de precios entre la vivienda periférica y la intraurbana.",13.0,374doi_10_1080_02673039883290,10.1080/02673039883290,Redifferentiation of the Urban Housing Stock in the Netherlands: A Strategy to Prevent Spatial Segregation?,1998,Housing Studies,Hugo Priemus,,13.0,3750fa7b978cc0554adcbdc121220fc014231cdaf42,10.1108/jerer-11-2019-0044,Making sense of increased synchronization in global house prices,2020,Journal of European Real Estate Research,John V. Duca,"376Purpose377The purpose of this paper is to provide perspective on whether and why global metro house prices have become more synchronized, and perspective on the limited implications of this for investing in international real estate.378379380Design/methodology/approach381This paper reviews main findings from the literature on house price determination, reviews the emerging literature on global synchronization, and provides graphs to illustrate main points and trends.382383384Findings385House prices have become somewhat more synchronized likely reflecting greater correlation in long-term interest rates and macroeconomic cycles related to trends in globalization and international portfolio diversification. Nevertheless, this trend has not been continuous, reflecting that house prices depend on other fundamentals, which are not uniform across areas. Theory and evidence indicate that the more common are fundamentals, the more synchronized are house price cycles and the more substitution effects may matter. Also, real estate markets that are open to immigration and foreign investment have become more sensitive to shifts in the international demand for property by migrants or investors.386387388Research limita",12.0,https://www.dallasfed.org/-/media/documents/research/papers/2019/wp1911.pdf3892114aabc904103285d53a799bb2dcf50e16e0ee9,10.1108/jpif-08-2021-0068,Causal relationships between the price-to-rent ratio and macroeconomic factors: a UK perspective,2022,Journal of Property Investment & Finance,D. Lo; M. McCord; P. Davis; John McCord; Martin Haran,"PurposeHouse price-to-rent (P-t-R) ratios are among the most widely used measures of housing market conditions. Given the theoretical and apparent bidirectional, causal relationships and imbalances between the housing market, broader economy and financial market determinants, it is important to understand the relationship between macro- and micro-economic characteristics in relation to the P-t-R ratio to enhance the understanding of housing market dynamics. This paper studies the joint dynamics and persistence of house prices and rents and examines the temporal interactions of the P-t-R ratio and economic and financial determinants.Design/methodology/approachThe authors examine the lead–lag relationships between the P-t-R ratios and a spectrum of macroeconomic variables using cointegration and causality methods, initially at the aggregate position and also across housing types within the Northern Ireland housing market to establish whether there are subtle differences in how various housing segments react to changes in economic activity and market fundamentals.FindingsThe findings reveal price switching dynamics and some very distinct long- and short-run relationships between macro",12.0,https://pure.ulster.ac.uk/ws/files/98475513/JPIF_08_2021_0068.R1_PTR_accepted.pdf390doi_10_1108_14635780010316663,10.1108/14635780010316663,Bank lending valuations on commercial property – Does European mortgage lending value add anything to the process?,2000,Journal of Property Investment & Finance,Neil Crosby; Nick French; Melanie Oughton,"This paper reviews a number of alternative bases of valuation which can be applied for lending purposes. In early 1999, the European Mortgage Federation suggested that the philosophy of a European Mortgage Lending Value (EMLV) should be based on “sustainable” values and this recommendation is compared to the current basis used for bank lending valuations, mainly market value. This comparison is of both concepts and applications. In addition, concepts and applications of worth valuations are considered. The paper concentrates on commercial property but many of the principles also apply to residential property valuations. The paper concludes that the EMLV concept of sustainable values is itself unsustainable. There are a number of reasons for this view, not least that the concept itself cannot be closely defined and will be interpreted differently by those who apply it. It lacks the objectivity of market value and the rationality of concepts of worth. The paper also questions whether any concept of value can apply over a period of time and suggests that all other “values” do not have a shelf life and relate to one specific point in time only. In application, in the absence of any mea",12.0,3911cd473df8f393883694de4530b0d1c667382890c,10.1177/23998083211041122,"Exploring a multilevel approach with spatial effects to model housing price in San José, Costa Rica",2021,Environment and Planning B Urban Analytics and City Science,E. Pérez-Molina,"A multilevel model of the housing market for San José Metropolitan Region (Costa Rica) was developed, including spatial effects. The model is used to explore two main questions: the extent to which contextual (of the surroundings) and compositional (of the property itself) effects explain variation of housing prices and how does the relation between price and key covariates change with the introduction of multilevel effects. Hierarchical relations (lower level units nested into higher level) were modeled by specifying multilevel models with random intercepts and a conditional autoregressive term to include spatial effects from neighboring units at the higher level (districts). The random intercepts and conditional autoregressive models presented the best fit to the data. Variation at the higher level accounted for 16% of variance in the random intercepts model and 28% in the conditional autoregressive model. The sign and magnitude of regression coefficients proved remarkably stable across model specifications. Travel time to the city center, which presented a non-linear relation to price, was found to be the most important determinant. Multilevel and conditional autoregressive mode",12.0,https://www.kerwa.ucr.ac.cr/bitstreams/e010ac06-68ab-4ed6-a4d7-8e9fb5060ebc/download39204c677772bf9a8f8d2cc4d54825dfb9cc2d18029,10.1016/j.jrurstud.2019.01.028,Prioritising local housing needs through land-use planning in rural areas: Political theatre or amenity protection?,2019,Journal of Rural Studies,N. Gallent; I. Hamiduddin; Phoebe Stirling; J. Kelsey,"Abstract This paper examines housing investment pressures and the local planning response in St Ives, Cornwall, where a Neighbourhood Development Plan introduced a principal residence restriction affecting all new-build homes in the locality in 2016. Ostensibly, the objective of this policy is to reserve new-build housing for local residents, thereby delivering improved housing market access for those needing to live and work in the area, who are seen to have greater claim on local resources. However, our study of the anticipated impacts of ‘Policy H2‘, drawing on semi-structured interviews with key policy informants and resident representatives, highlights concerns amongst long-term residents and working households as to the economic impacts of the policy relative to its impacts on housing access. Greater support for the policy was found to exist among in-migrant and retired households, who view the policy as a means of slowing development, preserving local character, and defending property values. Evidence from prior experiments with residence restrictions in the Lake District and elsewhere suggest that an overall reduction in house building (triggered by a shrinking of the marke",12.0,https://discovery.ucl.ac.uk/id/eprint/10066633/3/Hamiduddin%20St%20Ives%20paper-Accepted%20MS%20Jan%202019.pdf3930ce3bd924a36bb785601dd1980ab7e62b175419b,10.1016/j.jeca.2020.e00178,Asymmetries across regional housing markets in Turkey,2020,The Journal of Economic Asymmetries,H. Duran; Hilal Özdoğan,"In the literature on real estate prices, two main groups of determinants are primarily considered; speculative and fundamental variables. Empirical literature in the areas has, however, several shortcomings. First, although existing studies have analysed the role played by speculative factors, none of the studies, have measured precisely the relative importance of speculative and fundamental variables. We aim at doing this. Moreover, the literature has measured the speculation only by analysing backward-looking behavior. We improve this analysis by considering also forward-looking expectations. Second, in terms of cross-regional determinants, the literature has largely considered economic and demographic variables whereas geographical and cultural variables have been ignored. We intend to incorporate them. Hence, aim of this paper is to understand the dynamics behind the housing prices in 26 Turkish regions between 2010:1–2016:9. We employ range of econometric methods such as Vector-Autoregressions, Unit Root Analysis, Cholesky Forecast Error Variance Decompositions, Impulse-Response Functions, Panel Regressions, Lagrange Multiplier Spatial Dependence Tests and Granger Causality Te",12.0,https://www.sciencedirect.com/science/article/pii/S1703494920300256394ba2d524760b5b2fe44516a52c7253375322ff328,10.1093/jeg/lby062,Valuation of ethnic diversity: heterogeneous effects in an integrated labor and housing market,2017,Journal of Economic Geography,J. Bakens; T. de Graaff,"We estimate the heterogeneous impact of the scale, composition and consumer good effect of ethnic diversity on individuals' job and residential location. Using an extensive pooled micro panel data set in which homeowners in the Netherlands are identified in both the housing and labor market, we can derive the combined effect of ethnic diversity in both markets. We test a model that integrates the utility and production function such that the location of work and residence is determined simultaneously by taking into account observed and unobserved heterogeneous individual behavior on both markets. We find that the scale of ethnic diversity, that is the share of immigrants, at the city level is mostly positively related to both wages and house prices. This is mainly through a positive productivity effect of immigrants, which results in negative implicit prices for housing (although small) in a city with a higher scale of ethnic diversity for the majority of the individuals in our data. The scale of ethnic diversity is only positively related to utility for a small group of homeowners, while the composition (diversity among immigrants) and the consumer good-effect (ethnic diversity of",12.0,https://academic.oup.com/joeg/article-pdf/20/1/197/32434161/lby062.pdf3950b33dc01733e607fe24622cf750443b369694c71,10.1016/j.cities.2018.08.003,"Does developers' ownership structure shape their market behavior? Evidence from state owned enterprises in Chengdu, Sichuan, 2004–2011",2019,Cities,Paavo Monkkonen; Guo-Ying Deng; Wanyang Hu,"Abstract Real estate development is a complex speculative endeavor and developer firms take a variety of forms throughout the world. State run development companies are relatively common and China is no exception. State Owned Enterprises (SOEs) have played a major role in China's transition to a market-based real estate sector, yet we know relatively little about the housing they build relative to private companies currently. To assess how their performance differs from private companies, we use a comprehensive set of georeferenced housing transactions, joined with remote sensing data and data on neighborhood amenities and transportation infrastructure, to analyze the dynamics of the Chengdu housing market from 2004 to 2011. We observe a drop in the variation in housing price and size, as well as a growing premium for larger units that we connect to changes in government regulations. Importantly, we find that units developed by SOE sell at a discount of roughly 7%. To explain this discount, we draw on literature and examine pricing strategy, difficult to measure quality elements, preferred treatment by local governments, and efforts to fulfill social goals related to housing provis",12.0,https://escholarship.org/content/qt11m170n4/qt11m170n4.pdf?t=plqaa639618e5f3ee7d66f1a7b99e312abe37c2a4c35acd34,10.1108/ijhma-04-2020-0037,Mitigating housing glut: an application to the Malaysian housing market,2020,,Chee-Yin Yip; A. Senadjki; Nee-Au-Yong Hui; Azira Abdul Adzis,"397Purpose398This paper aims to construct a model procedure to mitigate housing glut by using both qualitative and quantitative approach. The model applied in the Malaysian context analyzes the following: information contained in media articles and reports issued by Bank Negara Malaysia (BNM) on the housing market to extract the true picture of the housing glut issue; the relative impact (effectiveness) of housing affordability, housing prices and economic growth in influencing housing glut, and how it can be overcome so that appropriate preferential policies can be taken to mitigate the problem.399400401Design/methodology/approach402This study uses quarterly data from 2000 to 2017 to conduct economic analysis, economic theory analysis and cointegrating regression, whereas information from media-published housing articles and reports issued by BNM are examined and interpreted to draw the true picture of housing glut.403404405Findings406The results obtained from quantitative analysis show that housing affordability exerts very mild relative effect (0.0097) negatively on housing glut, whereas economic growth and housing price produce a relatively mild positive impact of (0.020) and (0.022), respectively",12.0,407157324d352ef0ce50a5386fa27913a58b5965ddd,10.1108/ijhma-01-2017-0007,"Foreign real estate investment, residential tourism and the Australian residential property market",2017,International Journal of Housing Markets and Analysis,P. Wong; D. Higgins; R. Wakefield,"408Purpose409This research aims to focus on the emerging determinants for the Australian residential property market subsequent to the Global Financial Crisis 2008.410411412Design/methodology/approach413Quantitative models built on secondary data were tested on three residential property markets comprising metropolitan Melbourne and two key suburbs in the state of Victoria. The relationship between the house price performances and various leading Australian economic indicators was assessed.414415416Findings417As a result of the increasing relevance of Asia Pacific private wealth in the Australian residential property market, non-traditional determinants such as residential tourism have emerged as significant in the Melbourne residential property market.418419420Research limitations/implications421The result of this study can provide a better understanding on the relationship between the Australian residential property market and both the existing and emerging leading economic indicators.422423424Originality/value425A better understanding of foreign investment activities will assist policymakers to effectively manage inflated Australian residential property market without compromising the steady flow of foreign real e",12.0,https://figshare.com/articles/journal_contribution/Foreign_real_estate_investment_residential_tourism_and_the_Australian_residential_property_market/27506733426091daf52f691cf6da58132074ea8b6d01ad32474,10.21837/pm.v19i16.959,DOES RAIL TRANSPORT IMPACT HOUSE PRICES AND RENTS?,2021,PLANNING MALAYSIA,Nursyazwani Abdullah Suhaimi; Nurul Hana Adi Maimun; Nurul Fazira Sa’at,"Rail transport is one of the factors that boost economic growth. Increased accessibility while saving travel costs and time offered by rail transport attracts foreign and local investments, which lead to increased house prices and rents. Nonetheless, it is argued that noise pollution coming from rail transport may also reduce house prices and rents because these areas are less desirable for occupation and investment. Hence, this research aims to establish rail transport’s impact on house prices and rents through a critical review of the literature. An overview of previous studies shows that house prices and rents are significantly influenced by proximity to rail transports. This indicates that proximity to rail transports is accounted for when making house purchase and rent decisions. Thus, property valuers, planners, and developers should consider rail transport location in planning, developing, and valuing properties.",12.0,https://mail.planningmalaysia.org/index.php/pmj/article/download/959/6644270afc0654b221ecc5b7f32274f380e7c17c4e9d5b,10.36253/aestim-12320,Forecasting housing prices in Turkey by machine learning methods,2022,Aestimum,M. Kayakuş; Mustafa Terzioğlu; Filiz Yetiz,"In this study, decision tree regression, artificial neural networks (ANN) and support vector machines (SVM) methods are applied by using monthly data for the period 2013-2020 in the estimation of housing sales in Turkey. In the analysis, the volume of individual mortgage loans offered by banks, the average annual interest rate of mortgage loans from macroeconomic and market variables, the consumer price index (CPI), the BIST 100 index, the benchmark bond interest rate, gold prices and the values of the US dollar and Euro Turkish lira and the housing sales price per square meter in Turkey are used. As a result of the analysis carried out on the model created house sales prices in the Turkish housing market have been successfully estimated and in the light of these estimates, it is determined that banks can guide banks in the creation of various credit packages and appropriate loan targets to support the housing sector.",12.0,https://oaj.fupress.net/index.php/ceset/article/download/12320/11233428121c21842889d7f30208fbfd20061d203aa343b1,10.1177/13548166231186906,Tourism development and urban housing prices: Evidence from China,2023,Tourism Economics,Chang-Yao Song; Yi-Jun Liu; Xinjian Li; Jiayi Zhang; Q. Lyu,"Tourism as a nontradable sector affects regional price indexes. However, the effect of tourism on urban housing prices has not been sufficiently studied. This study uses panel data for prefecture-level cities in China to empirically examine the effect of tourism development on urban housing prices. The findings indicate that tourism development can increase urban housing prices, and the effect mainly comes from domestic tourism. This conclusion is not only derived from the instrumental variable method considering endogenous problems but also verified by multiple robust methods including quantile regression. Meanwhile, the study innovatively identifies the mediating role of investment effect, income effect, and public service effect in the impact of tourism on urban housing prices. It further shows the heterogeneity of cities, with more significant effect of tourism on urban housing price in small- and medium-sized cities, noncentral cities, central and western cities, and nontourist cities. This study reveals the commonality and particularity of the impact of tourism development on urban housing price. It not only enriches the research on tourism economics from the perspectives of ",12.0,4290ef63e631b30d9099301ae1983b651a10b97ba59,10.1287/opre.2022.0330,Slowly Varying Regression under Sparsity,2021,Operational Research,D. Bertsimas; V. Digalakis; M. Li; O. S. Lami,"Building Sparse and Temporally or Spatially Linked Regression Models The framework of slowly varying regression under sparsity addresses many problems in machine learning where the underlying model is sparse and varies slowly and sparsely. This includes problems with temporally or spatially varying structures. For example, in the temporal case, the factors important in predicting the energy consumption in a building can vary depending on the hour of the day or the period of the year. In the spatial case, the factors that affect house prices can differ by neighborhood. Our paper rigorously formulates such models and proposes new theories, algorithms, and software for solving them. We thoroughly evaluate our framework on synthetic and real-world case studies and make our implementations available open-source to facilitate adoption by practitioners.",12.0,https://arxiv.org/pdf/2102.1077343000b0d2d98b63a17c2820df47449a1dc0bf14136a,10.1111/pirs.12203,Subway capitalization effect in Beijing: Theory and evidence on the variation of the subway proximity premium,2017,,Xi-Yan Wang,"This paper analyses the relationship between community attributes and the subway home-price capitalization effect, asking whether the magnitude of the subway proximity premium is affected by neighbourhood economic status and location. Using longitudinal data from Beijing, the paper estimates that decreasing a community's distance to a subway station by 10 per cent increases the housing price per square metre by 0.2 per cent ~ 0.9 per cent. The paper also shows that, subway capitalization effect is around 0.1 per cent ~ 0.2 per cent lower for communities that have higher quality and charge a 1 Yuan higher property management fee. Moreover, the analysis also reveals that the subway capitalization will decrease by around 0.08 per cent as a community's distance to the central business district (CBD) increases by 1 km.",12.0,https://doi.org/10.1111/pirs.12203431doi_10_1108_14635789910252918,10.1108/14635789910252918,"Lag vacancy, effective rents and optimal lease term",1999,Journal of Property Investment & Finance,Raymond Tse,"This paper analyses the choice of the optimal lease term of office property in relation to expected lag vacancy, periods of rent‐free and expected rental income growth. The optimal lease term is the one that minimizes the expected costs of contract negotiation from the perspective of landlords. Specifically, it presents an analysis of how to estimate effective rents based on the lease term, expected lag vacancy and rent‐free periods. This study shows that the optimal lease term tends to increase under the following conditions: when the expected rate of rental growth decreases, the discount rate increases, or the expected lag vacancy increases. A longer contract duration is less costly when future rentals are discounted at a higher rate. Altering the lease length will change the risks taken by the landlord. Thus, contract length can be used as a device for insuring vacancy risk. Moreover, we find that the optimal lease length is more sensitive to the lag vacancy when the discount rate is at a relatively high level.",12.0,432doi_10_3406_spgeo_1985_4061,10.3406/spgeo.1985.4061,"Changements de logement, changements de département et cycle de vie",1985,L’Espace géographique,Daniel Courgeau,"Change in housing, or department and life cycle. — Using a retrospective survey, this paper shows how the situation of an individual within its family, profession and politics cycle acts on his estimated spatial mobility either in changing housing or in changing department. The methods of analysis presented here are very relevant to perceive the complex relations which exist in this course of different events.",12.0,433doi_10_2307_2330452,10.2307/2330452,Assessing Hedonic Indexes for Housing,1979,The Journal of Financial and Quantitative Analysis,Charles W. Noland,,12.0,4340b3579302b76bd1fc77be4d0b78d92273cd16a72,10.30574/wjaets.2023.8.1.0048,House price prediction with Convolutional Neural Network (CNN),2023,World Journal of Advanced Engineering Technology and Sciences,Mohit Jain; Arjun Srihari,"In this paper, we examine the applicability of Convolutional Neural Networks (CNNs) for predicting the cost of houses with an inclusion of visual and non-visual elements. Traditional end-to-end patterns of supervised machine learning usually incorporate a finite set of numerical or categorical features, ignoring spatial and aesthetic information. CNNs, which can parse complex patterns in unstructured data, represent a way to improve predictive accuracy at the price of including property images with numerical and geographical coordinates. This variety of inputs is integrated within the proposed model to reflect the visual and contextual aspects of real estate valuation. The training and testing set used property images, georeferenced information, and typical numerical features. Incorporation of architectural features, including design, quality and neighbourhood aesthetics, showed a higher variance than the baseline machine learning model. Analysis of the outcomes obtained in experiments showed that CNN-based models performed better than the benchmark models, such as regression, gradient boosting, and random forest regression, in identifying the subtle interconnection between attract",11.0,https://wjaets.com/sites/default/files/WJAETS-2023-0048.pdf435doi_10_1108_14635780010324493,10.1108/14635780010324493,Investment valuation models,2000,Journal of Property Investment & Finance,Nick French; Richard Cooper,"It is well recognised that the UK commercial property market has traditionally used nominal market benchmarks such as the all‐risk yield based on the assumption that rents are received annually in arrears. Obviously, the reality of the market is that rents are invariably received quarterly in advance and it has been suggested that valuers should move towards valuation techniques that reflect the actual timing of the cash flow. The Investment Property Forum issued a paper in September 1999 promulgating the use of quarterly in advance valuations. Parry’s Tables provides quarterly in advance formulae that reflect the reality of rental income and indicates that an annual effective yield should be used instead of a nominal yield to compensate for the subsequent compounding resulting from an income received quarterly. However, as will be shown, the effective yield formula provided by Parry’s does not reflect quarterly payments that are received in advance so compromising the accurate transition from annually in arrears to quarterly in advance formulae based valuations. Tables produced by the IPF have rectified this problem in part as they correctly work on the premise that capital values",11.0,436229ac5b410ce72897f52497521f4dbe6ee6be9f8,10.4310/sii.2019.v12.n2.a6,Bayesian High-Dimensional Regression for Change Point Analysis,2019,Statistics and its Interface,A. Datta; H. Zou; Sudipto Banerjee,"In many econometrics applications, the dataset under investigation spans heterogeneous regimes that are more appropriately modeled using piece-wise components for each of the data segments separated by change-points. We consider using Bayesian high-dimensional shrinkage priors in a change point setting to understand segment-specific relationship between the response and the covariates. Covariate selection before and after each change point can identify possibly different sets of relevant covariates, while the fully Bayesian approach ensures posterior inference for the change points is also available. We demonstrate the flexibility of the approach for imposing different variable selection constraints like grouping or partial selection and discuss strategies to detect an unknown number of change points. Simulation experiments reveal that this simple approach delivers accurate variable selection, and inference on location of the change points, and substantially outperforms a frequentist lasso-based approach, uniformly across a wide range of scenarios. Application of our model to Minnesota house price dataset reveals change in the relationship between house and stock prices around the ",11.0,https://www.ncbi.nlm.nih.gov/pmc/articles/675395843718dc556d7fd9457e73d088b8c8659d03220759cf,10.1111/1475-4932.12118,Does a Nearby Murder Affect Housing Prices and Rents? The Case of Sydney,2014,Social Science Research Network,A. Klimova; Adrian Lee,"We measure the impact of murders on prices and rents of homes in Sydney. We find that housing prices fall by 3.9% for homes within 0.2 miles of the murder, in the year following the murder, and weaker results in the second year after a murder. We do not find any effects of murders on rents. Higher media coverage and being located closer to the murder (within 0.1 mile) have no additional effect on prices. Taken together, our findings suggest that proximity to a murder affects nearby property prices, particularly in the first year after the incident.",11.0,https://doi.org/10.2139/ssrn.4378987438doi_10_1080_00420989650011582,10.1080/00420989650011582,Bulgarian Housing Reform and Forms of Housing Provision,1996,Urban Studies,Sasha Tsenkova,"The objective of this paper is to explore the extent to which state intervention and market forces affect the housing provision system. Existing Bulgarian housing policy reform will be analysed with particular emphasis on the dynamics of change, the formation of a new market-oriented system and its considerable impact on innovation in the structures of housing provision. Relevant issues will be brought together to present the wide range of factors which contribute to the formation of nationally specific private and public forms of housing provision. Relevant issues will be brought together to present the wide range of factors which contribute to the formation of nationally specific private and public forms of housing provision, identifying their potential and constraints, and outlining major characteristics. Of primary concern is the extent to which a radical change of relationship between the state and the market, as occurred in Bulgaria, can modify the evolution of different forms of housing provision and the performance of key actors.",11.0,4391bc43dc56564e8fc4013eef74afa1322303c1948,10.5089/9781484315118.001,Housing Finance and Real Estate Markets in Colombia,2017,Social Science Research Network,Francisco Roch,"Colombian house prices have increased significantly between 2005 and 2016. This paper estimates the extent of misalignments in house prices relative to fundamentals and evaluates the overall risk to the economy from the housing sector. The results suggest a moderate house price misalignment relative to fundamentals which is, however, mitigated by housing finance characteristics.",11.0,https://www.elibrary.imf.org/doc/IMF001/24541-9781484315118/24541-9781484315118/Other_formats/Source_PDF/24541-9781484316566.pdf440doi_10_1108_14635789610154299,10.1108/14635789610154299,"EUROPEAN PAPER: Diversification of Swiss portfolios with real estate, Results based on a hedonic index",1996,Journal of Property Valuation and Investment,Martin Hoesli; Foort Hamelink,"Aims to re‐examine the role that can be played by real estate in Swiss mixed‐asset portfolios. For this purpose, constructs a constant quality price index for apartment buildings in Geneva. Also uses data pertaining to real estate mutual funds. In real terms, and after taking into account the illiquidity of real estate, the results suggest that the optimal portfolio composition is 20 per cent for stocks, 53 per cent for bonds and 27 per cent for real estate. Real estate mutual funds could also be included in a small proportion in the portfolio.",11.0,441doi_10_1016_j_jag_2009_11_009,10.1016/j.jag.2009.11.009,A hedonic model comparison for residential land value analysis,2010,International Journal of Applied Earth Observation and Geoinformation,Yaolin Liu; Bin Zheng; Jan Turkstra; Lina Huang,,11.0,442ffd4547e241e346df6023820aa0f9cd7e8694caa,10.22004/ag.econ.180098,Housing Price Response to the Interaction of Positive Coastal Amenities and Negative Flood Risks,2014,,Ajita Atreya; J. Czajkowski,,11.0,44306eb1be36560a706e8a4c9154d6e9962cdbbec15,10.1080/10835547.2008.12091992,The Impact of Inflation on Home Prices and the Valuation of Housing Characteristics Across the Price Distribution,2008,,J. Zietz; G. Sirmans; Greg T. Smersh,,11.0,4440f3eeb38c327dd084869cc31f2dd3b2e5222ef42,10.1016/j.cities.2021.103304,"Strong, weak, or reversed: The spatial heterogeneities in the effects of squatter settlements on house prices",2021,,A. F. Ogas-Mendez; Y. Isoda; T. Nakaya,,11.0,44514f2cc7c499984a8d79b6e38f646c9e24542d80b,10.3389/fenvs.2022.992092,"Commercial gentrification in China and its distribution, development, and correlates: The case of Chengdu",2022,Frontiers in Environmental Science,Qin-Ran Yang; Yang Liu; Lin-Chuan Yang,"Within the Anglo-American literature, commercial, along with residential, gentrification has often been treated as an attendant neighborhood phenomenon. This study aims to uncover the distribution of areas for emerging consumption that indicate the occurrence of commercial gentrification, as well as to explain the development process and spatial correlations of commercial gentrification in Chengdu, a large Chinese city. With the data of points of interest (POIs), the study categorizes new retail places for commercial gentrification and conducts spatial and statistical analyses. The following findings are revealed: First, the distribution of new retail places changed from a monocentric to a polycentric structure in the main urban areas of Chengdu from 2010 to 2020, wherein high-density areas were partially overlapped with traditional commercial centers. Second, commercial gentrification in Chengdu was presented by the fastest growth of the entertainment services in the 2010s. Third, commercial gentrification in Chengdu shifted from a centripetal to a centrifugal development pattern from 2010 to 2020. The geographies of development were variegated, connected with multiple location at",10.0,https://www.frontiersin.org/articles/10.3389/fenvs.2022.992092/pdf446216ffaafc101f2a0290ba6df2cc566dd1e2cc0db,10.1093/jeg/lbac019,How to enter high-opportunity places? The role of social contacts for residential mobility,2022,Journal of Economic Geography,Virág Ilyés; István Boza; László Lőrincz; R. Eriksson,"447 The aim of this article is to analyze the contribution of social ties to moving to high-opportunity locations and assess whether their effect is more pronounced for low-income individuals as a compensation for economic resources. This is done by utilizing Swedish administrative data and by focusing on a wide range of relationships (observed directly or inferred from the data): close and distant family ties, former co-workers and university peers. For estimating the effect of social ties, we use linear probability models, where observed migration is regressed on individual-specific and target-specific characteristics. To account for the nonrandom sorting of movers between locations, we apply sending municipality–target municipality–occupation fixed effects. Our results suggest that there is a positive relationship between migration and the presence of links at given targets for all the examined contact types. The effects are even stronger if the targets are hard-to-reach municipalities (located in Stockholm County or a municipality with higher housing prices). We also demonstrate that, when moving to such opportunity-rich areas, ties to former co-workers and university peers are e",10.0,https://academic.oup.com/joeg/advance-article-pdf/doi/10.1093/jeg/lbac019/44753621/lbac019.pdf448088c408303f6e72bcded380dde86d2130c69e59e,10.1108/ijhma-02-2023-0024,A multi-level modeling approach for predicting real-estate dynamics,2023,International Journal of Housing Markets and Analysis,Vinayaka Gude,"449Purpose450This research developed a model to understand and predict housing market dynamics and evaluate the significance of house permits data in the model’s forecasting capability.451452453Design/methodology/approach454The research uses a multilevel algorithm consisting of a machine-learning regression model to predict the independent variables and another regressor to predict the dependent variable using the forecasted independent variables.455456457Findings458The research establishes a statistically significant relationship between housing permits and house prices. The novel approach discussed in this paper has significantly higher prediction capabilities than a traditional regression model in forecasting monthly average prices (R-squared value: 0.5993), house price index prices (R-squared value: 0.99) and house sales prices (R-squared value: 0.7839).459460461Research limitations/implications462The impact of supply, demand and socioeconomic factors will differ in various regions. The forecasting capability and significance of the independent variables can vary, but the methodology can still be applicable when provided with the considered variables in the model.463464465Practical implications466The resulting mo",10.0,467063bacde82155c5e0a856caf40a3c3ef4dbbd2e3,10.21837/pmjournal.v15.i4.314,WHAT DRIVES HOUSE PRICE IN MALAYSIA? IN SEARCH OF AN ALTERNATIVE PRICING BENCHMARK FOR ISLAMIC HOME FINANCING,2017,PLANNING MALAYSIA,Salina Hj Kassim; Nur Harena Binti Redzuan; Noraida Harun,"The current practise of the Islamic banks to rely on market interest rate as pricing benchmark for their home financing products has been a subject of intense debate among many parties. Muslim scholars have warned that it is highly discouraged as it could lead to a possible convergence between the practices of the Islamic and conventional banks. This paper intends to address the financing issues in the discussion of human settlement or housing policy by presenting the determinants for house price index as well as looking into the possibility of adopting the House Price Index (HPI) to replace the market interest rate as a pricing benchmark for the Islamic home financing. The study applies Auto-Regressive Distributed Lag (ARDL) method on a model comprising HPI as the dependent variable and a set of independent variables consisting of economic, housing demand and housing supply factors. The findings lead to the formulation of recommendations as a way forward for the Islamic banking industry in particular, and the economy in general. This will require a paradigm shift from basic financing products to a more holistic approach which integrates supply of housing factors, as well as urban ",10.0,http://planningmalaysia.org/index.php/pmj/article/download/314/26646822717a08d81726c66ac21aac1b5807c2090b8f91,10.4028/www.scientific.net/amr.869-870.1096,Analysis of Determinants on Chinas Interprovincial Migration during 1985-2005,2013,,Yang Li; Hui Liu; Qing-Ning Tang,"This paper tries to identify the characters which might affect interprovincial migrants decisions and examine how and why the influence of these characters changes over time individually and synthetically in China during 1985-2005. We have investigated six kinds of factors, including distance, population density, income, unemployment rate, house price, and migration stock. In addition, we apply the identified factors with a multiple stepwise regression model to a longitudinal dataset, which consists of the interprovincial migration flows over last two decades in China. It is found that different factors have disparate impacts on migration in China, and they can be decomposed into push force in origin area and pull force in destination area. Factors shaping Chinas interprovincial migration have shifted from traditional factors such as distance to economic factors such as income and unemployment rate. This paper suggests that more attention should be paid to obtain detailed migration data with spatial information and develop applicable models for migration processes. Our analysis provides references for development planners and policy-makers to develop sound population policies to ac",10.0,https://doi.org/10.4028/www.scientific.net/amr.869-870.109646912db2a79faaef0e3b3972e1a3b9a7e8bac34850f,10.1016/j.sbspro.2012.09.423,Critical Factors Affecting Double Storey Terrace Houses Prices in Bandar Baru Bangi,2012,,M. A. Khoiry; N. Tawil; N. Hamzah; A. I. Che Ani; S. Sood,"Abstract Everybody needs a house as shelter, either by renting or owning one. In order to have a good place called home, the location normally will be the priority in the list. Recently Bandar Baru Bangi which is recognized as Malay Elite Town has the significantly shown an increase in house prices starting from the mid 90's. Thus, this area is the main focused of the research. The increase in the prices for double storey terrace house in major areas in Malaysia has been a concern for property buyers, especially in developing areas. There are twenty one factors listed for the research and the factors are grouped into three main groups; internal, external and capitalist factors. The survey analysis by the developers who handles the double storey terrace house sales in Bandar Baru Bangi for past years indicates that that the capitalized factor such as supply and demand, market conditions, and access to public transport and distance to the city centre are the factors influencing the price of double storey terrace houses in Bandar Baru Bangi.",10.0,https://www.sciencedirect.com/science/article/pii/S1877042812038785/pdf4701754f477e226df1f65295545c3c3e04955f078c4,10.21837/pm.v19i17.993,HOUSING PREFERENCES: AN ANALYSIS OF MALAYSIAN YOUTHS,2021,PLANNING MALAYSIA,S. Ismail; Azima Abdul Manaf; M. Hussain; N. Basrah; Fatin Umaira Muhamad Azian,"Housing preferences among Malaysian youths are an important issue because the housing unit prices nowadays are often unaffordable. Malaysian youths confront various challenges nowadays, including marriage, relocating away from home upon graduation, and finding new work opportunities. Youths have developed into the primary section of the housing market who are constantly faced with housing options and decisions. Besides, youths have different preferences for housing characteristics throughout their particular stage of life, which will significantly impact their future lives. Data was gathered from a survey questionnaire answered by 174 Shah Alam youths aged from 18 to 35. This research focuses on identifying the preferred types of houses chosen by youths, involving features such as location, housing price and type of house to live in. The results also showed that the highest-ranked preferred factors were the financial factors, followed by the neighbourhood, location, and design factors.",10.0,https://doi.org/10.21837/pm.v19i17.993471doi_10_5209_rev_aguc_2015_v35_n2_50114,10.5209/rev_aguc.2015.v35.n2.50114,Migración latinoamericana en el área central de Iquique: Nuevos frentes de localización residencial y formas desiguales de acceso a la vivienda Latin American migration in the central area of Iquique: New fronts of residential location and unequal forms of access to housing La migration latino-américaine dans la zone centrale de Iquique: nouveaux fronts de l'emplacement et inégales formes résidentielles d'accès au logement,2015,Anales de Geografía de la Universidad Complutense,Yasna Contreras Gatica; Pedro Palma Calorio,"Historically the central area of the city of Iquique has been established as residential space migrants choosing from different backgrounds , however since the late 2000s migration flows are diversified being mostly Latin American immigrants who live in precarious conditions , accessing tugurizados properties , deteriorated in an increasingly growing informal market. The results presented here are derived from quantitative residential location of migrants , as well as the implementation of 13 in-depth interviews . From these results emerge that Latin American migrants access to the same places where once lived internal migrants, however they inhabit a restrictive market , uneven and inadequate living conditions lease, but allows them to articulate residence and proximity to industrial networks , social and popular trade.",10.0,47206fbff1aee58e5301561956e3ded76dd569d255f,10.1016/j.jebo.2019.05.012,Large price movements in housing markets,2019,Journal of Economic Behavior and Organization,Xiao-Jin Sun; Kwok-Ping Tsang,"Abstract This paper examines large price run-ups with potential subsequent crashes and large price declines with potential subsequent rebounds in state-level and metropolitan-area-level housing markets in the U.S. over the past 40 years. We find that a sharper run-up in house prices predicts a higher probability of a crash, but a sharper decline does not necessarily predict a higher probability of a rebound. Changes in the effective interest rate in the local market can predict housing returns following large price run-ups, while it is harder to use the same factors to predict returns following large price declines. Such characteristics are robust to different thresholds of price movements.",10.0,473025963448000777b738b2cb405afeec0b78230e6,10.1109/mdm.2019.00-15,A LSTM and Graph CNN Combined Network for Community House Price Forecasting,2019,International Conference on Mobile Data Management,Chuancai Ge,"Community house price forecasting has been a livelihood issue for the governments and the residents, and accurate forecast of real estimate price is so important to urban planning as well as house-purchase suggestions. However, the price of residential communities involving many aspects including economic factors, community attributes and time series trend. What's more, in this paper, we take spatial dependence among communities into account, which is hard to capture in city-level. Finally, we propose a novel deep network framework to integrate all the aspects and model the spatial-temporal patterns for community house price forecasting.",10.0,47410a9a2e9c542132641fe4ee888454be993c42044,10.1016/j.jobe.2024.110413,Influence of daylight on real estate housing prices. A multiple regression model application in Turin,2024,Journal of Building Engineering,Serena Loro; V. L. Lo Verso; E. Fregonara; Alice Barreca,,10.0,https://doi.org/10.1016/j.jobe.2024.110413475doi_10_1080_02673039008720685,10.1080/02673039008720685,Valuing residential properties with the hedonic method: A comparison with the results of professional valuations,1990,Housing Studies,J. S. Dodgson; N. Topham,,10.0,47606c511a7bb75fa76f1a3a719192b2c7b305678af,10.2307/136099,Forecast Comparisons of Residential Housing Prices by Parametric and Semiparametric Regression,1996,,R. Gencay; Xian Yang,,10.0,477https://openalex.org/W2969907077,10.1111/1540-6229.12298,Hedonic Price of Housing Space,2019,Real Estate Economics,Sumit D. Agarwal; Yanying Chen; Jing Li; Yi Jin Tan,,10.0,4780255c95356ae80ad336281034f4c23d036ba8a9a,10.1080/02664763.2016.1254163,Combined asymmetric spatial weights matrix with application to housing prices,2017,,Haiyong Zhang; Xin-Yu Wang,,10.0,47917c086b19533438e41c9fa1f6bb70bec1aac136c,10.1108/ijhma-09-2022-0130,Dynamic effects of geopolitical risks and infectious diseases on real estate markets,2023,International Journal of Housing Markets and Analysis,D. Yuni; I. Enwo–Irem; C. Urom,"480Purpose481Geopolitical risks (GPR) and increase in equity market volatility due to health pandemics have great implications on assets prices around the world. Many empirical studies have focused on the effects of these risks on different financial assets. The purpose of this paper is to contribute to this related literature by examining the dynamic effects of GPRs and infectious diseases–induced equity market volatility on regional and global house price indexes.482483484Design/methodology/approach485This paper explores the asymmetric effects of infectious diseases and GPRs on house prices across different market conditions using the quantile regression approach. This technique enables us to examine the nonlinear asymmetric effects of GPRs and infectious diseases on both global and regional house price indexes using daily data from January 1, 2011, to June 3, 2022. It focuses on both the effects of a composite measure of GPR as well as the disaggregated effects of threats and acts (war) on the real estate markets under different market conditions.486487488Findings489The main findings of this study demonstrates that the effects of geopolitical and infectious diseases–related risks vary differently a",9.0,4901ed7f4ea574f36d9c0185757483fa482a70ee7a8,10.3390/su152115318,The Impact of Economic Policy Uncertainty on Investment in Real Estate Corporations Based on Sustainable Development: The Mediating Role of House Prices,2023,Sustainability,Yuanyuan Qu; A. M. Md. Kassim,"Since the COVID-19 outbreak, the global economy has undergone profound changes, and China’s real estate market has experienced dramatic turbulence. In order to stabilise the national economy during the epidemic, China’s macro-controls on the real estate industry have become more frequent. These regulatory policies have kept the uncertainty in China’s economic policies at a high level for almost two years. Therefore, in order to further regulate the real estate market and thus establish a sustainable macro-control mechanism, the purpose of this study is to provide the necessary practical research and policy basis for the real estate market by exploring how economic policy uncertainty and house prices affect the level of corporate investment in real estate development. Based on the theory of real options, financial friction theory and real estate characteristics theory, this paper studies the relationship between economic policy uncertainty and the investment level of real estate developers and further explores the mediating role of house prices. This paper selects the panel data of Shanghai and Shenzhen A-share real estate listed companies in the CSMR database from the first quarter",9.0,https://www.mdpi.com/2071-1050/15/21/15318/pdf?version=1698314080491150995021d6de7030847639847d9172115f9cead,10.1145/3474717.3484257,Attention-Based Spatial Interpolation for House Price Prediction,2021,SIGSPATIAL/GIS,Darniton Viana; Luciano Barbosa,"Estimating the market price of a house is important for many businesses such as real estate and mortgage lending companies. The price of a house depends not only on its structural features (e.g. area and number of bedrooms) but also on the spatial context where it is located. In this work we estimate the price of a house based solely on its structural features and the characteristics and price of its neighbors. For that, we propose a hybrid attention mechanism that weights neighbors based on their similarity to the house in terms of structural features and geographic location. For the structural features, we apply an euclidean-based attention and, for the geographic location, we propose an attention layer based on a radial basis function kernel. Those attention mechanisms are then used by a neural network regressor to predict the price of a house and to generate a vector representation of the house based on its implicit context: the house embedding, which can be used as a feature set by any regressor to perform house price prediction. We have performed an extensive experimental evaluation on real-world datasets that shows that: (1) regressors using house embedding obtained the best",9.0,49207441798ac5873fe53746864fd3cf3231a87b056,10.3846/ijspm.2018.1540,Impact of infill development on prices of existing apartments in Finnish urban neighbourhoods,2018,,Hannele Ahvenniemi; K. Pennanen; Antti Knuuti; A. Arvola; Kauko Viitanen,"Popularity of infill development is increasing because of the environmental benefits and cost saving potential it provides, which relate to the possibility to use existing infrastructure and services. However, the impact of infill development on value of existing properties has not been studied to a sufficient extent. Therefore, the aim of our study is to analyse whether infill development affects the prices of existing apartments. We carried out statistical analysis based on data from seven case neighbourhoods, and prices of more than 6000 housing transactions from one decade. The results of our analysis do not support the hypothesis of infill development affecting positively existing housing prices, but neither did the study show a significant negative effect. Both amenity effect and negative externalities may provide explanations as to why property values do not change due to infill development.",9.0,https://journals.vgtu.lt/index.php/IJSPM/article/download/1540/1207493doi_10_13043_dys_75_5,10.13043/dys.75.5,Testing for Bubbles in the Colombian Housing Market: A New Approach Detectando burbujas en el mercado de vivienda colombiano: un nuevo enfoque,2015,Desarrollo y Sociedad,José E. Gómez-González; Jair N. Ojeda-Joya; Catalina Rey-Guerra; Natalia Sicard,"In the context of financial crises influenced by the development and burst of housing price bubbles, the detection of exuberant behaviors in the financial market and the implementation of early warning diagnosis tests are of vital importance. This paper applies the bubble-detection methodology developed by Phillips, Shi and Yu (2012) to the most important Colombian residential property market. The empirical results suggest that this housing market experienced a price bubble that began in the second half of 2012. This result holds true under alternative robustness checks, namely alternative price deflators, regression windows and price segments. The only exception is in the case of the low-price segment of the housing market where prices have not increased recently. Bubble episodes, under this approach, consist of periods of explosive behavior of the nominal asset price which are not explained by the evolution of its market returns.",9.0,494doi_10_1108_02630800110394012,10.1108/02630800110394012,A multivariate approach to the prediction of maintenance needs in public housing: the tenant dimension,2001,Structural Survey,Femi Olubodun,"This paper sets out to develop a bridge for the existing gap in knowledge by exploring the characteristics of the tenants of some LA housing estates and how they affect maintenance need. Without the proper integration of information relating to property and the users of the dwelling, the phenomenon of housing maintenance need prediction will remain an intractable problem for housing managers. The paper therefore explores the hypothesis that dwellings within the same estate and having every conceivable architectural attribute in space and time in common will exhibit different maintenance need profiles as a result of differences in tenants’ characteristics.",9.0,495doi_10_1007_s101100050034,10.1007/s101100050034,"Spent nuclear fuel and residential property values: the influence of proximity, visual cues and public information",1999,Papers in Regional Science,David E. Clark; Tim Allison,,9.0,496doi_10_3923_sscience_2010_559_564,10.3923/sscience.2010.559.564,Does the Functional Form Matter in the Estimation of Hedonic Price Model for Housing Market?,2010,The Social Sciences,Ajide Kazeem Bello; Alabi Moruf,,9.0,497doi_10_1007_978_0_387_76815_1_3,10.1007/978-0-387-76815-1_3,Hedonic Modeling of the Home Selling Process,2008,Hedonic Methods in Housing Markets,John R. Knight,,9.0,498245a75478429a9d8b7bf5c2791025797b5314f0f,10.1080/02815738708730140,House prices in Sweden: The significance of attributes,1987,,R. Wigren,,9.0,49919697f0b89c27ff27c7548e65e3748a6d53bc5f7,10.1109/icoco53166.2021.9673533,Housing Price Analysis Using Linear Regression and Logistic Regression: A Comprehensive Explanation Using Melbourne Real Estate Data,2021,2021 IEEE International Conference on Computing (ICOCO),Keren He; Cui-Wei He,,9.0,5001a330ba0319ad7e6e85ea313b3dced1b860fa6f1,10.3390/rs14153757,"Relationship between Urban Three-Dimensional Spatial Structure and Population Distribution: A Case Study of Kunming's Main Urban District, China",2022,Remote Sensing,Yang Wang; Xiao-Li Yue; Can-Song Li; Min Wang; Hong'ou Zhang; Yong-Xian Su,"The three-dimensional (3D) spatial structure within cities can reveal more information about land development than the two-dimensional spatial structure. Studying the relationship between the urban 3D spatial structure and the population distribution is a crucial aspect of the relationship between people and land within cities. However, a few relevant studies focus on the differences between employment population and night population distribution in relation to urban 3D spatial structure. Therefore, this study proposes a new concept of 3D space-filling degree (3DSFD), which is applicable to evaluate the city’s 3D spatial structure. We took 439 blocks in Kunming’s Main Urban District as a sample and analyzed the 3D spatial structure based on geographic information data at the scale of a single building. The characteristics and differences of the daytime and night population distribution in Kunming’s Main Urban District were identified using cell phone signaling big data. Accordingly, a cross-sectional dataset of the relationship between the city’s 3D spatial structure and the population distribution was constructed, with the 3D space-filling degree of the block as the dependent vari",8.0,https://www.mdpi.com/2072-4292/14/15/3757/pdf?version=16596988345010c6cfaafdd96d2248e8abff1b20def5093ed8eb3,10.3390/land11081137,"Analysis on Spatial Characteristics of Supply–Demand Relationship of Amenities in Expanding Central Urban Areas—A Case Study of Huai’an, China",2022,Land,Qilong Ren; J. Ni; Hui Li; Guangxiong Mao; W. Hsu; J. Yang,"Supply and demand for amenities in expanding urban areas undergo continuous adjustment. In this study, we explored the relationship between supply of and demand for amenities in expanding urban areas to evaluate the rationality and effectiveness of amenity distribution, improve urban governance, and promote urban accessibility and justice, thereby facilitating sustainable urban development. We selected the central urban area of Huai’an City, China as the research area. We used point-of-interest data, Baidu population heatmap data, and residential housing prices to develop supply and demand indices for amenities and analyze the spatial characteristics of the supply of and demand for amenities in expanding urban areas. The results revealed that (1) the supply–demand relationship in the study area was mainly balanced, followed by relationships in which supply was lower than demand, and the relationships of supply exceeding demand is less, accounting for 68.35%, 26.06%, and 5.59%, respectively. (2) The core of the old urban area and the areas surrounding the old urban area had high supply–demand balance, the transitional and new urban areas had less supply than demand, and the developi",8.0,https://www.mdpi.com/2073-445X/11/8/1137/pdf?version=16596858775021fb62aa80b65b252c0930250f39b4bdb0528f9fd,10.3846/ijspm.2024.22232,Spatial heterogeneity and interaction effect of urban blue and green spaces on housing prices,2024,International Journal of Strategic Property Management,Huilin Chen; Lihui Hu; Ziyi Liu; Bo Chen,"Rapid urbanization presents policymakers and planners with the challenge of balancing public open spaces design with the conservation and improvement of natural resources. A comprehensive understanding of the land economic value of urban blue-green spaces (UBGS) holds immense significance for urban sustainable development, urban spatial justice and the promotion of human well-being. In this study, the MGWR model is employed to discuss the heterogeneous effects of UBGS on housing prices in Hangzhou. Additionally, the interaction effect between blue space and green space was examined at the district level, and the specific locations and spatial patterns were identified. The results show that (1) different types, features and accessibility of UBGS have different degrees and spatial scale of effect on housing prices, and will be affected by other attributes of UBGS; (2) in 30.92% of the main urban area of Hangzhou, the effect of blue spaces and green spaces on housing prices exhibits an interactive effect. The spatial patterns are divided into blue-green positive synergistic, antagonistic and negative synergistic regions; (3) green space has positive and negative effects on housing pri",8.0,https://doi.org/10.3846/ijspm.2024.222325030c62d0851e9e46ecc15f65f9c72d1754f541ad50,10.58567/jea03010002,Housing Prices and Land Use Regulations: A Study of 250 Major US Cities,2023,Journal of Economic Analysis,T. Eicher,"Income and population growth are key determinants of housing demand, while land use regulations are designed to affect housing supply. Previous studies of housing price determinants focus either on specific regulations in particular cities/regions, or on selective subsets of major cities and regulations. This study examines the impact of land use regulations on housing prices from 1989 to 2006 in an unusually large sample of 250 major US cities. Aside from factors that are commonly associated with housing demand (income, population growth and density), housing prices are found to be associated with local cost-increasing land use regulations (approval delays) and with statewide regulations. Since statewide regulations factor prominently into the results, specific examples of the impact of different types of land use regulations are provided for 5 cities in the state of Washington. The estimated increase in housing prices associated with regulations is, on average (over 250 cities), substantially larger than the effects of income and population growth. While the estimated dollar costs associated with regulations may be sizable at times, the results are remarkably consistent with prev",8.0,http://anser.press/index.php/JEA/article/download/471/3895040323ac721023077b5db7e60c967887ef1d6d2197,10.3390/app12073236,An Analysis of Food Accessibility of Mountain Cities in China: A Case Study of Chongqing,2022,Applied Sciences,Yufeng He; Haixia Pu; Nian-Hua Liu; Yong-Chuan Zhang; Yehua Sheng,"Mountain cities are characterized by undulating terrain, complex road networks, and diverse road facilities, which makes accessing food more difficult than in cities with a flat terrain. This study proposes an enhanced two-step method based on the Baidu map service for the construction of supermarket–market–retail food sales architecture and for calculating food accessibility. The accessibility indices of seven major food categories (grains and oils, fruits, vegetables, seafood, meat, milk, and eggs) were calculated considering the principle of the fairest walking routes in Chongqing. The correlations between food accessibility and house price and house age in Chongqing were explored through local Moran’s analysis and geographically weighted regression. The correlations illustrated the fairness of the distribution of food accessibility in Chongqing among the poor and rich. The experiments showed generally well-developed food accessibility in the main urban areas of Chongqing. However, accessibility to fresh fruits and vegetables lagged in newly built urban areas.",8.0,https://www.mdpi.com/2076-3417/12/7/3236/pdf?version=1647960275505doi_10_1108_14635789910271746,10.1108/14635789910271746,"Bargaining, utility and rents",1999,Journal of Property Investment & Finance,Patrick McAllister; Heather Tarbert,"This paper analyses the effect of potential lease expiry on the rental negotiation process and levels of rental agreed. Several observers have noted that tenants may use the threat of lease termination at rental negotiations in order to obtain a rental and/or other concession. It is argued that it will often be rational for the landlord to make a rental concession in these circumstances and a model that identifies a theory‐forecasted concession level for landlords is developed. However, the bargaining process will often cause deviation from an equilibrium solution. The concession level of the landlord will be a function of four variables: expected landlord’s cost of void, probability of tenant relocation, landlord’s risk preference and the effects of the bargaining process. Utility theory is used to illustrate why the risk averse or risk neutral landlord in a potential lease termination situation will always maximise his/her utility by conceding an amount on the open market rental value provided that the landlord perceives the probability of lease termination to be greater than zero. However, although it is possible to identify a positive solution to the calculation of maximum conc",8.0,506doi_10_1016_j_cesjef_2015_10_002,10.1016/j.cesjef.2015.10.002,Formación de los precios de alquiler de viviendas en Machala (Ecuador): análisis mediante el método de precios hedónicos,2016,Cuadernos de Economía,Manuel A. Zambrano-Monserrate,,8.0,507fbc4053765389f000d3a39c7276d07d83039c716,10.1007/s12145-021-00589-3,Learning with self-attention for rental market spatial dynamics in the Atlanta metropolitan area,2021,Earth Science Informatics,Xiao-Lu Zhou; Wei-Tian Tong,,8.0,50814085b9809485e5d173c2551146e857360933205,10.1109/iccis.2013.125,"Spatial Variation Analysis of the Housing Price in Multi-center City: A Case Study in Chongqing City, China",2013,International Conference Communication and Information Systems,Li-Juan Wang; Gui-Wen Liu,,8.0,50907938b8d9e65e8747592ca9fb1fef2ad38a21205,10.3390/su15086906,Young Households’ Diminishing Access to Homeownership Attainment in Europe,2023,Sustainability,Wouter Vangeel; Laurens Defau; L. De Moor,"This multi-country article focuses particularly on homeownership among the young. After all, relying on European Union Statistics on Income and Living Conditions (EU-SILC) data in twelve European countries, we can see that in contrast to the aggregate homeownership rate of ‘all’ households (i.e., no matter what age the households’ heads are) that has remained relatively stable, the aggregate homeownership rate of young households (with heads aged 0–35 years) has fallen substantially in Europe in recent decades. Multiple analyses and quantitative comparisons confirm the stylized fact that acquiring a home has indeed become a challenge for young adult households (also no matter the income quartile in which they fall); rather than that, however, their lowering homeownership rates are simply due to changing sociodemographic characteristics (such as having children later in life and staying longer in education). Moreover, it is unveiled that young tenants and lower income young households are especially disadvantaged with regard to access to the housing market. Through our actual research, we aim to answer the question: Has the government’s fiscal policy strengthened or weakened the dec",7.0,https://www.mdpi.com/2071-1050/15/8/6906/pdf?version=1681957279510doi_10_1111_j_1541_0064_1998_tb01561_x,10.1111/j.1541-0064.1998.tb01561.x,GEOGRAPHIC SEPARATION AND PATTERNS OF SOCIAL INTERACTION BETWEEN RESIDENTS OF SENIOR CITIZEN APARTMENT BUILDINGS AND THEIR ADULT CHILDREN,1998,Canadian Geographies / Géographies canadiennes,GEOFFREY C. SMITH,"In this study, research questions are formulated to investigate the determinants and consequences of the physical distances separating residents of government‐assisted senior citizen apartment (SCA) projects and their adult children. Interview survey data were obtained from residents ( n = 97) of three SCAS in suburban Winnipeg, Canada, and geographically matching baseline samples of community residents ( n = 105). The analysis involves the use of bivariate statistical inferential tests and multiple regression frameworks. The results disclose that (1) greater parent‐child separation distances are registered by SCA residents compared to the community elderly; (2) ‘distance of the most recent residential move’ is the most significant predictor of the intergenerational separation distances recorded by SCA residents; (3) spatial proximity is the most significant predictor of social interaction between SCA residents and their children. It is concluded that the results have important implications for (1) developmental models of elderly migration and (2) policies governing the provision of seniors' housing. Dans cette étude, on s'interroge sur les déterminants et les conséquences des dist",7.0,51106cc3204e06bda2b77cc3ae4f4530e7535cefe99,10.3390/realestate2030012,Machine Learning Algorithms and Explainable Artificial Intelligence for Property Valuation,2025,Real Estate,G. Maselli; Antonio Nesticò,"The accurate estimation of urban property values is a key challenge for appraisers, market participants, financial institutions, and urban planners. In recent years, machine learning (ML) techniques have emerged as promising tools for price forecasting due to their ability to model complex relationships among variables. However, their application raises two main critical issues: (i) the risk of overfitting, especially with small datasets or with noisy data; (ii) the interpretive issues associated with the “black box” nature of many models. Within this framework, this paper proposes a methodological approach that addresses both these issues, comparing the predictive performance of three ML algorithms—k-Nearest Neighbors (kNN), Random Forest (RF), and the Artificial Neural Network (ANN)—applied to the housing market in the city of Salerno, Italy. For each model, overfitting is preliminarily assessed to ensure predictive robustness. Subsequently, the results are interpreted using explainability techniques, such as SHapley Additive exPlanations (SHAPs) and Permutation Feature Importance (PFI). This analysis reveals that the Random Forest offers the best balance between predictive accur",7.0,https://www.mdpi.com/2813-8090/2/3/12/pdf?version=1754032016512118dcf81f68dc75cdff57e6316741c2a375934f4,10.3991/ijim.v17i23.38073,Web Application with Machine Learning for House Price Prediction,2023,International Journal of Interactive Mobile Technologies,Raúl Jáuregui-Velarde; L. Andrade-Arenas; Domingo Hernández Celis; Roberto Carlos Dávila Morán; Michael Cabanillas-Carbonell,"Every year, the price of a house changes due to different aspects, so accurately estimating the buying and selling price is a problem for real estate agencies. Therefore, the research work aims to build a Machine Learning (ML) model in Azure ML Studio and a web application to predict the buying and selling price of two types of houses: urban and rural houses, according to their characteristics, to minimize the forecast error in prediction. Following the basic stages of machine learning construction, we build the prediction model and the Rational Unified Process (RUP) methodology to build the web application. As a result, we obtained a model trained with a linear regression algorithm and a predictive ML model with a coefficient of determination of 95% and a web application that consumes the prediction model through an Application Programming Interface (API) that facilitates price prediction to customers. The quality of the prediction system was evaluated by expert judgment; they evaluated efficiency, usability, and functionality. After the calculation, they obtained an average quality of 4.88, which indicates that the quality is very high. In conclusion, the developed prediction sys",7.0,https://online-journals.org/index.php/i-jim/article/download/38073/143015130123e1319ecc1bd2fdd467415175a45b853e6781,10.1186/1479-5868-10-95,The price of access: capitalization of neighborhood contextual factors,2013,International Journal of Behavioral Nutrition and Physical Activity,H. S. Brown; L. Yarnell,"BackgroundStudies of neighborhood context on health behavior have not considered that the health benefits of context may be ‘capitalized’ into, or included in, higher housing values. This study examines the associations of better neighborhood context with neighborhood housing values.MethodsWe use the third wave of Add Health (2000-2001) to estimate the association of neighborhood contextual variables and housing values first across then within income types. This is a census block group-level analysis.ResultsWe find that neighborhood context, especially access to fruit and vegetable outlets, is capitalized into, or associated with, higher housing values. Fast food and convenience store access are associated with lower housing values. Capitalization differs by income quartile of the neighborhood. Even those in the poorest neighborhoods value access to fresh fruits and vegetables, and those in the wealthier neighborhoods value activity resources. All neighborhood incomes types place negative value on fast food access and convenience store access.ConclusionsAccess to health-related contextual attributes is capitalized into higher housing prices. Access to fresh fruits and vegetables is",7.0,https://ijbnpa.biomedcentral.com/counter/pdf/10.1186/1479-5868-10-955140cbdcca8de4feb281db798b3712f093fdbd4153d,10.6007/ijarems/v11-i1/12214,Macroeconomic Variables and Malaysia House Price Index,2022,International Journal of Academic Research in Economics and Management Sciences,A. Zulkifli; M. Kogid; Saizal Pinjaman; J. Malin,"Malaysia is one of the developing countries facing an upward trend in demand for housing. However, the increasing trend in housing prices has become worrying. This study aims to examine the macroeconomic determinants of the housing price in Malaysia. The house price index and macroeconomic data on gross domestic product growth, consumer price index, and money supply were collected quarterly over the period from 2000 to 2019. The Autoregressive Distributed Lag (ARDL) model was used to investigate the effects of long-run and short-run estimates of the proposed econometric model based on the selected macroeconomic variables mentioned above. The results from the Augmented Dickey-Fuller and Phillips-Perron tests of stationarity indicated that all the variables were non-stationary at the level, I(0) but stationary at the first difference, I(1). The long-run coefficient estimates showed that the gross domestic product and money supply are significant and positively influenced the house price index in Malaysia. In addition, the consumer price index was also significant but had a negative relationship with the house price index in the long run. Further analysis using causality tests reveale",7.0,https://hrmars.com/papers_submitted/12214/macroeconomic-variables-and-malaysia-house-price-index.pdf5151dc369051e6064c36b71cafeba8e665878dbfc95,10.3130/jaabe.13.309,"Characteristics of the Spatial Structure of Kosts Private Rental Housing: A Case Study of the Urban Settlement of Jakarta, Indonesia",2014,,D. W. Wulandari; Suguru Mori,"Abstract This paper investigates kosts, private rental housing facilities spontaneously developed by house owners mostly due to changes in their stages of life, the need for additional income, and the demand for cheaper housing for people who reside far from their place of employment and education. The arrangements vary considerably, making kosts popular housing options. Currently there are no specific design standards for kosts. Their design and operation are based on the owners′ preferences. This research was based in Indonesia′s capital, Jakarta, which is the center of business and has the greatest degree of urbanization. The high housing prices there, combined with relatively low incomes makes it difficult for middle-to-low income earners to afford houses. Focusing on space planning by owners, this paper discusses various patterns of spatial arrangement in kosts and the impact on the living space of residents. The data collected was analyzed by classification and quantitative descriptive analysis methods. The spatial organization and lack of space trigger behavioral changes and the misuse of space. Furthermore, many kosts are not up to the Indonesian standards of a healthy home",7.0,https://www.tandfonline.com/doi/pdf/10.3130/jaabe.13.309?needAccess=true&role=button516027db22ded1b8db4fd10e5c6f2027455cb327516,10.35940/ijitee.c9741.0111322,Housing Price Prediction with Machine Learning,2022,International Journal of Innovative Technology and Exploring Engineering,Amena Begum; Nishad Jahan Kheya; Md Zahidur Rahman,"For socioeconomic development and the well-being of citizens, developing a precise model for predicting housing prices is always required. So that, a real estate broker or a house seller/buyer can get an intuition in making well-knowledgeable decisions from the model. In this work, a various set of machine learning algorithms such as Linear Regression, Decision Tree, Random Forest are being implemented to predict the housing prices using available datasets. The housing datasets of 506 samples and 13 feature variables from January 2015 to November 2019 were taken from the StatLib library which is maintained at Carnegie Mellon University. Since housing price is emphatically connected to different factors like location, area, the number of rooms; it requires all of this information to predict individual housing prices. This paper will apply both traditional and advanced machine learning approaches to investigate the difference among several advanced models to explore various impacts of features on prediction methods. This paper will also provide an optimistic result for housing price prediction by comprehensively validating multiple techniques in model execution on regression.",7.0,https://doi.org/10.35940/ijitee.c9741.01113225170fd5ddfce9e1f5d8e5500a045d9fe56c82e8e495,10.1002/asmb.2807,Quantum Bayesian computation,2022,Applied Stochastic Models in Business and Industry,Nick Polson; Vadim O. Sokolov; Jia-Neng Xu,"Quantum Bayesian computation is an emerging field that levers the computational gains available from quantum computers. They promise to provide an exponential speed‐up in Bayesian computation. Our article adds to the literature in three ways. First, we describe how quantum von Neumann measurement provides quantum versions of popular machine learning algorithms such as Markov chain Monte Carlo and deep learning that are fundamental to Bayesian learning. Second, we describe quantum data encoding methods needed to implement quantum machine learning including the counterparts to traditional feature extraction and kernel embeddings methods. Third, we show how quantum algorithms naturally calculate Bayesian quantities of interest such as posterior distributions and marginal likelihoods. Our goal then is to show how quantum algorithms solve statistical machine learning problems. On the theoretical side, we provide quantum versions of high dimensional regression, Gaussian processes and stochastic gradient descent. On the empirical side, we apply a quantum FFT algorithm to Chicago house price data. Finally, we conclude with directions for future research.",7.0,https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/asmb.280751800806a21e7382d7bbfb90e28ac41309cebb128b4,10.1177/0891242420941932,The Price of Preserving Neighborhoods: The Unequal Impacts of Historic District Designation,2020,Economic development quarterly,Tetsuharu Oba; Douglas S. Noonan,"Policies affecting cultural assets are popular yet imperfectly understood tools to shape local economic development. Historic preservation policies, for example, can have markedly different implications for original residents, prospective residents, and developers, even in the same city. Therefore, merely identifying its average effect can obscure important heterogeneity in its impact. This study examines the property value impacts of local and national historic districts across the distribution of property prices and how those differential impacts vary with the restrictiveness of the policy. A quantile regression model identifies the heterogeneity of effects among higher and lower end properties. The results reveal large differences between national and local districts, interior and buffer properties, and for different property values. These findings highlight the importance of and complexity in how housing markets react to attempts to guide local economic development.",7.0,https://scholarworks.indianapolis.iu.edu/bitstreams/a79d17c0-32e3-4546-9d09-33ef6787b1a6/download519037609c7b2fd99f523817e727e4a81249bbb831a,10.14254/2071-789x.2023/16-4/4,Discovering the determinants of house prices dynamics in Poland using Bayesian model averaging,2023,Economics & Sociology,R. Trojanek; Michał Głuszak; Paweł Kufel; M. Trojanek,"We examine the price drivers in 18 capital housing markets in Poland from 2004 to 2021. Using the Bayesian Model Averaging method, we discovered that some financial elements explain house price changes more consistently than conventional economic and demographic variables. The dynamics of house prices in most cities were defined explicitly by financial factors – mortgage market activity, mortgage interest rate, and terms and conditions of granting mortgages. Additionally, the stock market played a vital role in house price movement in selected cities. Economic (regional GDP, salaries, unemployment) and demographic (migration) factors were significant predictors of housing price dynamics only for particular cities. Our study closes the knowledge gap on factors influencing home price dynamics in Poland and other developing nations that have gone through systemic change. In the case of Eastern European countries, we have limited knowledge of those linkages.",7.0,https://www.economics-sociology.eu/files/4E_1423_Trojanek et al.pdf5201a5581341a0f9f1e9437b3b22e686513ece9ebe4,10.1002/widm.1435,Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance,2021,WIREs Data Mining Knowl. Discov.,Donghui Shi; J. Guan; Jozef Zurada; Alan S. Levitan,"The need for accurate and unbiased assessment of residential real property has always been important not only to financial institutions lending on or holding such assets but also to municipalities that rely on property taxes as their critical source of revenue. The common methodology for predicting residential property sale price is based on traditional multiple regression in spite of known issues. Machine learning methods have been proposed as an alternative approach but the results are far from satisfactory. A review of existing studies and relevant issues can help researchers better assess the pros and cons of the approaches in this important stream of research and move the field forward. This article provides such a review. In our review, we have noticed that common to both the regression‐based methods and machine learning methods are the use of batch‐mode learning. Thus in addition to providing a review of recent research on batch‐based residential property prediction models, this article also explores a new approach to constructing residential property price prediction models by treating past sale records as an evolving data stream. The results of our study show that the data",7.0,52112a10003bf672aeb0c8144567a950ed600b20a69,10.1080/00343404.2025.2502045,Housing submarket spillovers and COVID-19: the increasing influence of Australia’s regional cities,2025,Regional studies,M. Yanotti; Moses Kangogo; Danika Wright,"ABSTRACT We document a significant change in the relationship between metropolitan and regional house prices during the COVID-19 pandemic. Given regional centres are spatially disconnected in Australia, we introduce a novel approach to defining submarkets based on common amenity. Treating the COVID-19 pandemic period as a negative shock to urban demand, we find that metropolitan areas became net recipients of house price volatility, while regional markets became net influencers during the pandemic, reversing the pre-COVID-19 submarket spillover pattern. This paper provides an economic context for ongoing regional housing unaffordability and discusses current policy responses that should be considered to address these challenges.",7.0,https://www.tandfonline.com/doi/pdf/10.1080/00343404.2025.2502045?needAccess=true52219c099e0d265cf45d5e082a2c612c4bfc3aa3b80,10.29259/sijdeb.v6i4.371-384,Monetary Policy and Demographics: Empirical Evidence for Housing Prices in Indonesia,2023,Sriwijaya International Journal of Dynamic Economics and Business,A. M. Igamo; A. Azwardi; Ardi Saputra; Rizky Ghoffar Ismail; Gustriani Gustriani; Vinny Dwi Melliny,"The housing market in Indonesia has different characteristics for each region. These differences underlie changes in house prices, factors that affect house prices include Loan to Value (LTV), mortgage rate, income, and population. The data was obtained from relevant agencies of Bank Indonesia and the Statistics Indonesia, using data from 2012-2021, which is a combination of time-series data and a cross-section of 18 cities in Indonesia. The research method used is a regression panel. The results of the study of income levels, population, and Loan to Ratio (LTV) are significant to house prices, except for mortgage rates which not be effective in depressing housing price during the observation period.",7.0,https://sijdeb.unsri.ac.id/index.php/SIJDEB/article/download/355/2255231aa211b65eaf1c28211363c28ba3d965a0464630,10.1016/j.iref.2019.05.003,Inflation of home appraisal values and the access to mortgage loans of credit constrained borrowers,2019,International Review of Economics and Finance,L. Diaz-Serrano,"Abstract Upwards biased appraised home values allow the drawing of larger mortgages, which can be used to give financially constrained households access to mortgage credit. In this paper, I analyze this phenomenon for the first time outside of the US. I use a unique Spanish dataset of matched mortgage–dwelling–borrower characteristics covering the period 2004–2010. The data allow me to construct a measure of home appraisal bias. The results indicate that appraised home values were inflated on average by around 30% with respect to the contract purchase prices. I also observe that credit-constrained households were more likely to be involved in mortgages with inflated house values and that upwards bias in appraisals was more likely to occur in mortgage markets in which there was a higher degree of competition among lenders. This situation led lenders to lower credit standards dramatically.",7.0,524doi_10_1111_1540_6229_00756,10.1111/1540-6229.00756,A Test of a Buying Rule for “Underpriced” Apartment Buildings,1998,Real Estate Economics,Jane Londerville,"Apartment‐building repeat‐sales data are used to test a trading rule. Property values are estimated through regression; if the actual price is less than the estimated value, the property may be “undervalued.” Returns are calculated for these “undervalued” properties and adjusted for risk using the Sharpe ratio. A test is done of whether these ratios are significantly different for different portfolios. The “undervalued” properties have higher appreciation returns, but once these are adjusted for risk, the differences in returns are not significant. The paper contributes to the real estate efficiency literature and suggests a workable method for comparing the performance of real estate portfolios on a risk‐adjusted basis.",7.0,525202b881ac676b4c978328328da5022a7b99378a8,10.2139/ssrn.3794796,Do Property Rehabs Affect Neighboring Property Prices?,2024,Social Science Research Network,Rohan Ganduri; G. Maturana,"We examine the effect of distressed property rehabilitations on neighboring property prices using a recently developed nonparametric method that accounts for very local confounding house price trends. We find that house prices around a rehabilitated property increase between 2.3 and 4.0 percentage points following the rehabilitation. Moreover, we estimate that the average rehabilitation generates an aggregate welfare benefit that is 3.8 times greater than the amount invested. Rehabilitation externalities are stronger for longer rehabilitations and greater rehabilitation investments, and they are prevalent even in areas with high rates of foreclosures. The spillover effect of rehabilitations operates through their salience as opposed to through a reduction in the supply of distressed properties, through property appraisals, or through homebuyers with higher income moving into the neighborhood. Overall, our results suggest that investing in property rehabilitations can be a useful tool to stabilize distressed housing markets. JEL classification: G21, R31 keywords : property rehabilitation, house prices, externalities, foreclosures There is compelling evidence that foreclosed properti",6.0,5260d0dda1a340d610f2dbb29ccf7887ea2095084e3,10.1371/journal.pone.0299383,OLYMPUS-POPGEN: A synthetic population generation model to represent urban populations for assessing exposure to air quality,2024,PLoS ONE,Arthur Elessa Etuman; T. Benoussaid; Hélène Charreire; I. Coll,"Scientific question With the new individual- and activity-based approaches to simulating exposure to air pollutants, exposure models must now provide synthetic populations that realistically reflect the demographic profiles of individuals in an urban territory. Demographic profiles condition the behavior of individuals in urban space (activities, mobility) and determine the resulting risks of exposure and environmental inequalities. In this context, there is a strong need to determine the relevance of the population modeling methods to reproduce the combinations of socio-demographic parameters in a population from the existing databases. The difficulty of accessing complete, high-resolution databases indeed proves to be very limiting for the ambitions of the different approaches. Objective This work proposes to evaluate the potential of a statistical approach for the numerical modeling of synthetic populations, at the scale of dwellings and including the representation of coherent socio-demographic profiles. The approach is based on and validated against the existing open databases. The ambition is to be able to build upon such synthetic populations to produce a comprehensive asses",6.0,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299383&type=printable5270706a654824cf0914f2c2e0b29e907821026a5b5,10.1177/0042098019839886,An international housing market in the British Isles: Evidence from business and medium-term cycles using a Friedman test,2019,Urban studies,David Gray,"It has been averred that there is an international market in housing (inter alia, Adams Z and Füss R (2010) Macroeconomic determinants of international housing markets. Journal of Housing Economics 19(1): 38–50; Helbling T and Terrones M (2003) When Bubbles Burst – Chapter II, World Economic Outlook. April. Washington, DC: IMF; Pomogajko K and Voigtländer M (2012) Co-movement of house price cycles – A factor analysis. International Journal of Housing Markets & Analysis 5(4): 414–427). Although some authors examine the business cycle range, the mechanism by which this comes about is more likely to reflect financial market integration and evidence for this should be found in the medium-term cycle range. As a case study, there is an analysis of three associated ‘regional’ housing markets and their price movements. Northern Ireland’s economy is distinct but should be linked to the rest of the UK by common policy shocks, and to Eire through a mutual border. Using a Friedman test, it is found that even this small cluster is not integrated. It is asserted that a housing cycle has both a financial and a business component. As Drehmann et al. (Drehmann M, Borio C and Tstasaronis K (2012) Ch",6.0,https://figshare.com/articles/journal_contribution/An_International_Housing_Market_in_the_British_Isles_Evidence_from_Business_and_Medium-Term_Cycles_using_a_Friedman_Test/24375454528211b618c25800caefe69a9b6a58c99ee6bca1755,10.3390/land13050626,Assessing Inequality in Urban Green Spaces with Consideration for Physical Activity Promotion: Utilizing Spatial Analysis Techniques Supported by Multisource Data,2024,Land,Yun-Jing Hou; Yiming Liu; Yuxin Wu; Lei Wang,"Urban green spaces (UGSs) play a significant role in promoting public health by facilitating outdoor activities, but issues of spatial and socioeconomic inequality within UGSs have drawn increasing attention. However, current methods for assessing UGS inequality still face challenges such as data acquisition difficulties and low identification accuracy. Taking Harbin as a case study, this research employs various advanced technologies, including Python data scraping, drone imagery collection, and Amap API, to gather a diverse range of data on UGSs, including photos, high-resolution images, and AOI boundaries. Firstly, elements related to physical activity within UGSs are integrated into a supply adjustment index (SAI), based on which UGSs are classified into three categories. Then, a supply–demand improved two-step floating catchment area (SD2SFCA) method is employed to more accurately measure the accessibility of these three types of UGSs. Finally, using multiple linear regression analysis and Mann–Whitney U tests, socioeconomic inequalities in UGS accessibility are explored. The results indicate that (1) significant differentiation exists in the types of UGS services available in",6.0,https://www.mdpi.com/2073-445X/13/5/626/pdf?version=17150742995291ec132986ef181915508a4be092ff216139a7649,10.1108/ijhma-08-2024-0118,Spatial heterogeneity in housing price-transaction ratios: a historical analysis of Tehran,2024,International Journal of Housing Markets and Analysis,Mohsen RoohaniQadikolaei; Yaser Hatami; Sara Nikmard Namin; Ali Soltani,"530Purpose531This study aims to explore the intricate relationship between housing prices and transaction volumes in Tehran, a city with diverse socioeconomic and regional characteristics. This research addresses a critical gap in understanding the role of local spatial factors, which previous studies have often overlooked, focusing instead on macroeconomic variables.532533534Design/methodology/approach535Using a data set of housing transactions of Metropolitan Tehran from 2010 to 2020 sourced from secondary data, this study uses generalized linear mixed models and spatial clustering techniques. These methods enable an examination of geographical clustering and the effects of local contextual variables on the dynamics between housing prices and transaction volumes.536537538Findings539Results indicate significant spatial heterogeneity within Tehran’s housing market. Higher prices and transaction volumes are concentrated in the northern and western regions, influenced by factors such as employment rates, rental housing supply and the physical attributes of the housing stock. The findings suggest that macroeconomic policies alone are insufficient to address housing challenges in Tehran; targeted, localiz",6.0,54007d959cbc0d2539af973b5bbcc64e09f969db4b4,10.54097/fbem.v10i2.11077,A House Price Prediction Model Based on K-means Clustering and Random Forest in Guangzhou,2023,"Frontiers in Business, Economics and Management",Zhishang Huang; Guanren Lai,"This paper addresses the key issues in house price forecasting from multiple perspectives by establishing a house price forecasting model for Guangzhou city, providing valuable information and decision support for home buyers, developers, and the government. First, this paper employs the Person coefficient, stepwise regression model and t-test to address the problem of quantifying data and exploring house price factors. By analyzing the correlation between the relevant variables and house prices, the key characteristics that have significant and strong correlation effects on house prices are obtained. Second, the K-means clustering model was used to classify houses into three categories: economic houses, comfortable houses and high-end houses. This classification result provides a more detailed data base for the subsequent construction of the house price prediction model. Finally, the random forest house price prediction model was established in this paper, and the model was validated by error analysis and stability analysis. The average absolute value error and goodness-of-fit obtained were 0.08 and 0.92, respectively, indicating that the model has high accuracy and reliability. T",6.0,https://drpress.org/ojs/index.php/fbem/article/download/11077/107835410b5df8ca1e0d440f3fc112ce5191d25ceb017e94,10.1007/s10901-025-10200-6,"Residential satisfaction and living experience in low-cost housing within tropical climates: a case study of Kuching, Sarawak, Malaysia",2025,Journal of Housing and the Built Environment,K. Kuok; P. Chiu; Mohd. Elfy Mersal; Md. Rezaur Rahman; K. Said,"Amidst escalating housing prices and inflation in Sarawak, the government has implemented four schemes to assist low-income families in securing affordable homes. However, challenges persist in delivering quality housing for this demographic. A questionnaire survey was conducted to assess residential satisfaction, focussing on the principal factors and impact of socio-demographic characteristics on residential contentment. A comprehensive questionnaire survey was administered to 100 residents across three low-cost housing communities in Kuching, Sarawak. The findings reveal that 31.7% of respondents earn below RM2000 per month, while 29.6% have incomes between RM2000 and RM2999, positioning them in the lower income brackets. A substantial 78.3% of respondents reside in low-cost flats. Three-room units, constituting 43.7% of low-cost housing, are the most feasible option for affordability and space. Three family members comprise 20.7% of the household, followed by four at 24.6% and five at 18.2%. The survey revealed widespread flaws: 95% of respondents struggle with limited living space, 63.3% struggle with shared amenities, 20% report inadequate safety features, and 13.3% have expe",6.0,https://link.springer.com/content/pdf/10.1007/s10901-025-10200-6.pdf54207b241fa57ce2f3e40926461143e077561f2a1cd,10.11628/ksppe.2022.25.3.311,"Urban Heritage and its Socioeconomic Impacts in Seoul, South Korea: An Empirical Study Using Residential Environmental Satisfaction and Housing Price as Indicators",2022,"Journal of people, plants, and environment",Minki Sung; Mary R. Brooks,"Background and objective: Recent research has highlighted the need for urban heritage conservation due to rapid urbanisation, especially in Asian cities; however, few studies have investigated the socioeconomic impacts of heritage assets in urban contexts. This study examined urban heritage sites in Seoul Metropolitan City from the perspective of residents' environmental satisfaction and housing prices.Methods: A spatial regression model was developed to examine the associations between urban heritage sites and their corresponding protected areas as the independent variables (nationally assigned cultural heritage, city-assigned cultural heritage, nationally registered cultural heritage, nationally assigned cultural heritage protected area, and city-assigned cultural heritage protected area) and residential environmental satisfaction and housing prices as the dependent variables. The model investigated how urban heritage sites influence housing prices through the mediating effect of residential environmental satisfaction.Results: The results confirmed the impact of urban heritage sites on housing prices and the mediating effect of residential environmental satisfaction. Moreover, de",6.0,https://jppe.ppe.or.kr/upload/pdf/ksppe-2022-25-3-311.pdf5431fc2c5ae692c8dd89a05a88bfe97603f4ec39e6f,10.3390/econometrics13030029,Beyond GDP: COVID-19’s Effects on Macroeconomic Efficiency and Productivity Dynamics in OECD Countries,2025,Econometrics,Ümit Sağlam,"The COVID-19 pandemic triggered unprecedented economic disruptions, raising critical questions about the resilience and adaptability of macroeconomic productivity across countries. This study examines the impact of COVID-19 on macroeconomic efficiency and productivity dynamics in 37 OECD countries using quarterly data from 2018Q1 to 2024Q4. By employing a Slack-Based Measure Data Envelopment Analysis (SBM-DEA) and the Malmquist Productivity Index (MPI), we decompose total factor productivity (TFP) into efficiency change (EC) and technological change (TC) across three periods: pre-pandemic, during-pandemic, and post-pandemic. Our framework incorporates both desirable (GDP) and undesirable outputs (inflation, unemployment, housing price inflation, and interest rate distortions), offering a multidimensional view of macroeconomic efficiency. Results show broad but uneven productivity gains, with technological progress proving more resilient than efficiency during the pandemic. Post-COVID recovery trajectories diverged, reflecting differences in structural adaptability and innovation capacity. Regression analysis reveals that stringent lockdowns in 2020 were associated with lower produc",6.0,https://www.mdpi.com/2225-1146/13/3/29/pdf?version=17542856635440c957b5d948aacf762343880f63e6cc0498347aa,10.21837/pm.v23i38.1775,BALANCING AFFORDABILITY AND SUSTAINABILITY: UNVEILING HOMEBUYERS’ PREFERENCES FOR GREEN AFFORDABLE HOUSING CRITERIA AND FEATURES,2025,PLANNING MALAYSIA,M. Zulkepli; M. S. Abdul Rahman,"Green Affordable Housing (GAH) embodies a balance between affordability and sustainability in housing development. In Malaysia, the Green Building Index (GBI) outlines green housing criteria across six key areas: energy efficiency, indoor environmental quality, sustainable site planning and management, material and resource efficiency, water efficiency, and innovation. Similarly, the National Housing Policy (NHP) emphasizes affordability through income and housing price criteria. This study aims to align these frameworks by integrating GBI and NHP standards with GAH features identified in prior research. Logistic regression analysis of potential homebuyers' data revealed that 75.8% of respondents are willing to pay a premium for GAH features, with an acceptable cost increment of up to 10%. Top preferences include water-efficient fixtures (62.5%), rainwater harvesting systems (61%), and improved indoor environmental quality, such as low-noise designs (61.7%) and reduced volatile organic compounds (58%). The study highlights that incorporating green features into affordable housing is viable if cost increments remain reasonable, offering guidance for policymakers and developers to cr",6.0,https://www.planningmalaysia.org/index.php/pmj/article/download/1775/14515450664dffde96216b4a2fd774a15a713d7fc59c74f,10.2478/remav-2022-0021,Econometric Models of Real Estate Prices with Prior Information. Mixed Estimation,2022,Real Estate Management and Valuation,M. Doszyń,"Abstract The purpose of this paper is to estimate econometric models with sample and prior information. Prices of land property for residential development in Szczecin are modeled (the price level was determined for 2018). Modeling property prices only based on sample data generates numerous problems. Transaction databases from local real estate markets often contain a small number of observations. Properties are frequently similar, which results in low variability of property characteristics, and thus – low efficiency of parameter estimators. In such a situation, the impact of some features cannot be estimated from the sample data. As a solution to this problem, the paper proposes econometric models that consider prior information. This information can be, for example, in the form of property feature weights proposed by experts. The prior information will be expressed in the form of stochastic restrictions imposed on the model parameters. In the simulation experiment, the predictive power of mixed estimation models is compared with two kind of models: OLS models and model with only prior information. It turned out that mixed estimation results are superior with regard to formal cr",6.0,https://sciendo.com/pdf/10.2478/remav-2022-002154649c6f1c1bfcff8a995920062c2dd1e92c7e6bb94,10.5539/mas.v6n3p58,The Impact of Urban Rail Transit on Surrounding Residential Prices--Line 1 of Chengdu Metro as an Example,2012,,Xin Wei; Wei-Kang Zhang; Cheng Wang; Guan-Ju Xu,"This article aims to build a hedonic price model of the research region by making a summary of relevant research in this field, and taking the running Line 1 of Chengdu Metro as an example. To be specific, the research discusses the influence of Line 1 of Chengdu Metro on surrounding residential prices taking samples of the estates within 2 km of Line 1 within a spatiotemporal perspective. The results shows that: after the operation of Line 1 (from July in 2010 to June in 2011), the growth rate of the residential prices has been increased by 5.89%, 9.44%, 12.45% and 11.03% from 1st ring to the third ring respectively, reaching at an average rising rate of 9.51%. Besides, the residential prices far away from the downtown area were more likely to be found ahead than those around the city center and represented a far more sensitivity to the metro operation. By quantitative calculating, it finds that: regions that are closer to subway stations per meter from 1st ring to the third, the residential prices increased 0.91 Yuan/m2, 1.16 Yuan/m2 and 1.21 Yuan/m2, respectively. At the same time, Line 1 of Chengdu Metro has been increased a total number of 7.814 billion Yuan up to now of surro",6.0,https://ccsenet.org/journal/index.php/mas/article/download/15071/10237547cb60e0dd2725658c0f0b3ea2d3bec9c36df24d0a,10.3390/land11060916,How Much Are Amenities Worth? An Empirical Study on Urban Land and Housing Price Differentials across Chinese Cities,2022,Land,Yanjiao Song; Jiang Zhou; Ying-Jie Zhang; Ding-Xin Wu; Hong-Hai Xu,"As China is transitioning from a planned economy to a market-based economy, over the past 30 years, China’s economy has experienced the same type of changes that led to amenity-driven housing and land markets in more developed countries. This paper examines the effect of different types of amenities on urban land and housing prices across Chinese cities in 2020. When firms and households value some amenities, the assumption is that the preference for these amenities will be valued and reflected in both land and housing markets. We conduct a cross-sectional analysis of urban land and housing prices in prefecture and higher-level cities in China. We extend the Roback model to explore the extent to which the different land rents and housing prices reflect the compensations for interregional amenity differences across Chinese cities. We include two types of amenities: natural amenities and locally produced amenities. We perform two-stage least squares (2SLS) estimations and compute the implicit prices of various amenities for households and firms. The empirical results show that a range of amenities is valued by both households and firms, resulting in higher housing and industrial pric",6.0,https://www.mdpi.com/2073-445X/11/6/916/pdf?version=16552821115480b35c1b47083563d417c940c69ffcf3e3681fb90,10.7494/geom.2018.12.3.75,Housing Market in Capital Cities – the Case of Poland and Portugal,2018,,I. Rącka; Saira Khalil ur Rehman,"The real estate markets in capital cities are considerably different from the other regions of their respective countries. Due to the higher level of investment, business activity and income, increased tourism, and demand for real estate (and the subsequent higher prices), the markets in capital cities are usually more developed and more valuable; however, they describe the degree of development of the national real estate market to a certain extent. The aims of this paper are to conduct a comparative study of the housing prices in Warsaw and Lisbon (the capital cities of Poland and Portugal, respectively) using some macroeconomic variables and to measure the influence of factors including wages, supply of houses, and unemployment on the housing prices of the cities of Warsaw and Lisbon. We analyzed data from the period of 2009 through 2015. The following research methods were used in the research: a literature review, secondary data sources research, and statistical methods (the correlation, simple, and multiple regression techniques). We determined which factors affect the housing prices in the cities of Warsaw and Lisbon and to what extent this occurs.",6.0,https://doi.org/10.7494/geom.2018.12.3.755492075796388c43cd5aedc64728dd832af194aa20d,10.1080/00779954.2020.1827014,Effects of air quality on house prices: evidence from China’s Huai River Policy,2020,,Xinghua Liu; Qiang Li; S. Chand; K. Sharpe,"We employ a regression discontinuity (RD) design to estimate the impact of air pollution on house prices across a river that demarcates regions with and without coal-fired heating resulting from the Huai River Policy. This policy was decreed by the Chinese government in the 1950s and mandated the burning of coal for indoor heating at subsidised prices north of the Huai River. Employing quasi-experimental variation in particulate matter of 10 micrometres or less in aerodynamic diameter (PM10) generated by this arbitrary policy and a regression discontinuity (RD) design based on distance from Huai River, we estimate the local average treatment effect (LATE) to provide new evidence on the capitalisation of PM10 air pollution into house values. By using panel data covering 30 large cities on either side of the river for the period 2006–2015, we found that 1 µg/m3 (micrograms per cubic metre) reduction in average PM10 is associated with an approximately 1% increase in house prices. The results are robust to using parametric and nonparametric estimation methods, adjustment to a rich set of covariates, and using a subsample excluding first-tier cities.",6.0,https://unsworks.unsw.edu.au/bitstreams/66dbac4a-1ea9-405b-8e83-6a7182b289f3/download55009874006c6a10cf39989eadbda445849032c88fe,10.3390/ijgi11070365,Relation between the Views and the Real Estate Application to a Mediterranean Coastal Area,2022,ISPRS International Journal of Geo-Information,Hugo Castro Noblejas; Jesús Vías Martínez; Matías Mérida Rodríguez,"The landscape is a factor considered when choosing to purchase a dwelling, and, therefore, it influences the price of the real estate market. However, it is difficult to measure and assess its role, since it has a series of features that work in an integrated way and are hard to quantify separately. The characteristics of the views from each dwelling must also be considered, as well as their intrinsic characteristics or proximity to public services. This study proposes an automatic method to analyze the quality of the views, including both its dimensions and its composition in order to be able to estimate the economic weight of the views in the real estate value. A series of measurements of the views from 226 dwellings are integrated into the final index equation. The results are then compared with the estimated dwelling prices. The results highlight that the average price increases up to 18.1% in dwellings with a larger high-quality visual basin. It has also been noted that it is difficult to establish a correlation between the quality of the views and the housing prices due to the multifactorial nature of the housing prices.",6.0,https://www.mdpi.com/2220-9964/11/7/365/pdf?version=16570930375511f172c12da21c6466e7ea16ecf7103bb26d741d7,10.29220/csam.2018.25.3.263,Double monothetic clustering for histogram-valued data,2018,Communications for Statistical Applications and Methods,Jaejik Kim; L. Billard,"One of the common issues in large dataset analyses is to detect and construct homogeneous groups of objects in those datasets. This is typically done by some form of clustering technique. In this study, we present a divisive hierarchical clustering method for two monothetic characteristics of histogram data. Unlike classical data points, a histogram has internal variation of itself as well as location information. However, to find the optimal bipartition, existing divisive monothetic clustering methods for histogram data consider only location information as a monothetic characteristic and they cannot distinguish histograms with the same location but di ff erent internal variations. Thus, a divisive clustering method considering both location and internal variation of histograms is proposed in this study. The method has an advantage in interpreting clustering outcomes by providing binary questions for each split. The proposed clustering method is verified through a simulation study and applied to a large U.S. house property value dataset.",6.0,http://www.csam.or.kr/journal/download_pdf.php?doi=10.29220/CSAM.2018.25.3.263552doi_10_2202_1542_0485_1238,10.2202/1542-0485.1238,Does a Rising Biofuels Tide Raise All Boats? A Study of Cash Rent Determinants for Iowa Farmland under Hay and Pasture,2008,Journal of Agricultural & Food Industrial Organization,Xiaodong Du; David Hennessy; William A. Edwards,"Iowa's farmland consists of over 16% hay crops and pastureland, a significant portion of which is under cash rental contracts. This study investigates the comparative relationships between cash rental rates for cropped land and non-cropped land, where the latter includes hay and pastureland. We find that higher crop prices resulting from biofuel demand induces land use conversion from non-cropped land to crop production and thus bids up non-cropped land rents. Compared with changes in cropped land cash rents, non-cropped farmland rents could increase by a higher percentage. Non-cropped land cash rental rates are largely determined by crop and feeder cattle prices, population density, soil quality, and proportion of non-cropped land in a specific area. A primary effect of ethanol subsidies is the redistribution of income between corn growers and livestock producers, whereby higher livestock feed costs together with increasing hay and pastureland cash rents harm the dairy and feedlot beef sectors. Our study shows that, because of the positive effect on rents, the policies have an indeterminate effect on landowners operating in the cow-calf sector.",6.0,55301eeb09bde17c74de719982a125bbdeb1b3b052d,10.1108/ijhma-05-2023-0071,Determinants of housing affordability in the USA,2023,International Journal of Housing Markets and Analysis,J. Iqbal; Jeff Brdedthauer; Christopher S. Decker,"554Purpose555This study aims to identify the determinants of housing affordability in an effort to inform policy.556557558Design/methodology/approach559The authors use econometric analysis to determine variables that impact housing affordability in the USA.560561562Findings563The authors find that affordability depends on a number of demographic factors as well as physical characteristics of properties, including average age of homeowner, family size and average dwelling square footage. The authors also find that vacancy rates, increase in house price and median family income also have a significant impact on housing affordability. Additionally, the authors find that households with high-cost burdens are more vulnerable to mortgage rates and property taxes than those with moderate-cost burdens. As a result, changes in economic or policy variables tend to have a disproportionate impact on high-cost-burdened households, and they are more vulnerable to economic and policy shocks.564565566Originality/value567To date, the literature has not done a systematic investigation of housing affordability using detailed census data.568",6.0,5691b15b4478f07941b71280e1854199fef063f5506,10.1080/09603123.2022.2083086,Spatially heterogeneous associations between the built environment and objective health outcomes in Japanese cities,2022,International Journal of Environmental Health Research,Shuang-Jin Li; Jun-Yi Zhang; M. Moriyama; Kana Kazawa,"ABSTRACT The built environment is a structural determinant of health. Here we reveal spatially heterogeneous associations of built environment indicators with objective health outcomes (morbidity) by combining a random forest (RF) approach and a multiscale geographically weighted (MGWR) regression method. Using data from six Japanese cities, we found that the ratio of morbidity has obvious spatial agglomerations. The mixed land-use diversity with 1000 m buffer, distance to hospital, proportion of park area with 300 m buffer, and house price with 2000 m buffer, negatively affect health outcomes at all locations. For most locations, high PM2.5 or high floor area ratio with 2000 m buffer are linked to a high ratio of morbidity. Our findings support the use of such data for long-term urban and health planning. We expect our study to be a starting point for further research on spatially heterogeneous associations of the built environment with comprehensive health outcomes.",6.0,570doi_10_1080_00420989650011663,10.1080/00420989650011663,"Intra-urban Spatial Analysis of Housing-related Urban Policies: The Case of Liverpool, 1981-91",1996,Urban Studies,Zilai Tang; Peter W. J. Batey,"This paper presents a case study of Liverpool focusing on the transformation of the urban landscape associated with housing development. After examining different types of housing development with reference to housing policy initiatives and their underlying processes at various levels, the paper identifies some contrasting features of urban spatial transformation. First, this transformation is characterised by the city-wide spread of socio-economic downgrading caused by private de-investment in the production sphere, in contrast to the pockets of socio-economic upgrading resulting from private investment (on the urban fringe) and reinvestment (on the waterfront) in the consumption sphere. Secondly, the city has witnessed significant residential improvement (especially in the inner city) due to its success in securing public resource allocation, in contrast to economic devastation illustrating its increasing marginalisation in the movement of private investment.",6.0,571doi_10_1108_09596110510582350,10.1108/09596110510582350,Rent and the lessee,2005,International Journal of Contemporary Hospitality Management,J.D. Pratten,"Purpose This paper considers the changes in the nature of the public house sector in the UK. Design/methodology/approach Profiles the changing nature of the public house sector using published reports and current literature. Comments on the emerging trends and the impacts that they are having on the UK public house sector. Findings Reveals that many of the old‐style licensees have not been able to adapt to new trading circumstances and are preparing to leave the industry. Practical implications Indicates that pub‐owning companies need to recruit a different type of lessee or tenant in the future, characterized by a dynamic sales presence, able to continually generate incremental improvements in pub income. Originality/value Reviews the changing characteristics of the UK public house sector.",6.0,572doi_10_1108_02637470010311645,10.1108/02637470010311645,Valuing the refurbishment cycle,2000,Property Management,K.C. Wong,"This paper presents a simple method to assess the value of a commercial property, considering the cost and timing of refurbishment. It is constructed on the understanding that net rental income tends to decrease as the property ages, while maintenance cost increases with time. As a result, there is a desirable duration of successive leases, at the end of which refurbishment can take place. A suitable choice of this duration could give a higher value to the property. By assessing the value of a property over one refurbishment cycle, values for similar successive cycles can be capitalised. This approach is equivalent to finding the annual equivalent of the discounted cash flow over one cycle, and then capitalising it as if it is a constant income to perpetuity.",6.0,573doi_10_1080_0042098993123,10.1080/0042098993123,Modelling the Residential Sub-market: Breaking the Monocentric Mould,1999,Urban Studies,Timothy J. Bailey,"This paper evaluates the performance of a land-rent model which predicts the residential location pattern in a metropolitan centre when suburban land constraints and a polycentric form are incorporated in the household location decision. The model is based on the variables of residential space, accessibility and income and tests different measures for each. Based on different combinations of measures, iterations of the model predict theoretical incomes. These values are compared to actual data over the full study area and by socioeconomic sector. The goodness of fit and the applicability of the measures are assessed using weighted least-squares multiple regression and cluster analysis. Overall, the model performs quite strongly.",6.0,5740de80fb5f52706bf0c24c2de5a623f1e6d337a14,10.1080/13504851.2020.1711502,Does housing price destroy marital stability? Evidence from South Korea,2020,Applied Economics Letters,Subok Chae,"ABSTRACT This study examines the impact of housing price on the divorce rate in South Korea using a fixed effects model and dynamic panel data. There is currently a lack of consensus in the literature regarding the effect of house price on divorce. We simultaneously consider both house price and rental cost to distinguish a positive and negative effect of housing price. Using a cross-regional dataset of 15 provinces in South Korea from 1990 to 2013, we show that the wealth effect of house price changes on divorce rates is different from the effect of rental cost. All regression results indicate positive and statistically significant wealth effects of house price, but negative effects of the rental price changes on divorce rates.",6.0,575doi_10_1590_0103_6351_2441,10.1590/0103-6351/2441,O mercado imobiliário residencial no município de São Paulo: uma abordagem de preços hedônicos espacial,2017,Nova Economia,Rodger Barros Antunes Campos,"Resumo: Um dos méritos da abordagem de preços hedônicos é poder estimar preços implícitos de características que não têm mercado específico. Por exemplo, podem-se estimar as características implícitas do complexo mercado imobiliário. O ponto de partida do artigo é o reconhecimento da importância dos microfundamentos do modelo AMM (Alonso-Muth-Mills) e do AMM com amenidades. Utilizando a modelagem de preços hedônicos conjuntamente a abordagem de econometria espacial, pretende-se estimar aspreferências do consumidor por características do imóvel e amenidades no mercado imobiliário residencial no município de São Paulo considerando os perfis dos consumidores.",6.0,576doi_10_1068_b32134,10.1068/b32134,Space Puzzle in a Concrete Box: Finding Design Competence that Generates the Modern Apartment Houses in Seoul,2007,Environment and Planning B: Planning and Design,Kyung Wook Seo,"In the planning of apartment houses in Seoul, it is typical that the stereotyped building form strongly regulates the spatial arrangement of the interior. This research therefore attempts to combine two different approaches, namely the formal approach and the spatial approach, for the comprehensive understanding of the architectural grammar. To bridge the technical gap between these two approaches, a new graph-theoretical method is introduced by which configurational information is linked to a shape generation model. From a series of analyses it is found that there exist clear principles that generate all the typical house plans in the city.",6.0,5772176f4fe2b9a4d0e27f5ea1864450f3d2ae2bf5b,10.1145/3456126.3456139,House-price Prediction Based on OLS Linear Regression and Random Forest,2021,Asia Service Sciences and Software Engineering Conference,Yige Wang,"Based on a simple dataset with 20 features of houses, this paper builds two forecasting models to predict house prices. It primarily takes a series of data processes, including missing value process, outlier removal, new variables creation, and correlation analysis. Then this paper conducts the first theoretical model using OLS method. Next, it uses secondary cross-validation to optimize the parameters of random forest and gets a respectively realistic model. Finally based on the results, this paper analyzes and compares the advantages and disadvantages of the two models.",6.0,57800ce5283ca2d3f3452542fd5ac8e24bf14c05b3c,10.15396/eres2015_230,House Price Determinants in Sydney,2015,,X. Ge; B. Williams,,6.0,https://eres.architexturez.net/system/files/eres2015_230.content.pdf579a77f9dd2471b029cc23a89f601beb491dc5d90ba,10.1108/ijhma-04-2017-0041,Housing demand in Indian metros: a hedonic approach,2018,,Debarpita Roy,,6.0,5800b013e30e88e1ab570b41720f3645831de15562e,10.1088/0026-1394/57/1a/08019,Key comparison study—organic solvent calibration solution—gravimetric preparation and value assignment of trans-zearalenone (trans-ZEN) in acetonitrile (ACN),2020,Metrologia,R. Josephs; A. Daireaux; M. Bedu; Xiu-Qin Li; Xiao-Min Li; Z. Guo; T. Choteau; G. Martos; S. Westwood; R. Wielgosz; H. Li; M. Simón; E. C. P. Do Rego; B. Garrido; R. Leal; L. Carvalho; E. Guimarães; A. Bahadoor; J. Bates; J. Melanson; P. Giannikopoulou; C. Alexopoulos; E. Kakoulides; I. Mugenya; D. Prevoo-Franzsen; M. Fernandes-Whaley; S. Marbumrung; M. Bilsel; B. Binici; T. Gokcen,"The CCQM-K154.a and subsequent CCQM-K154.a.1 comparisons were coordinated by the the Bureau International des Poids et Mesures (BIPM) and the Chinese National Institute of Metrology (NIM) on behalf of the Organic Analysis Working Group (OAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) for National Measurement Institutes (NMIs) and Designated Institutes (DIs) which provide measurement services in organic analysis under the 'Comité International des Poids et Mesures' Mutual Recognition Arrangement (CIPM MRA) and/or have participated in the BIPM's Mycotoxin Metrology Capacity Building and Knowledge Transfer (MMCBKT) project as part of its ""Metrology for Safe Food and Feed in Developing Economies"" Capacity Building Programme. Gravimetrically-prepared solutions having an assigned mass fraction of specified organic analytes are routinely used to calibrate measurement processes for the quantification of the same analytes in matrix samples. Appropriate assignments of the property value and associated uncertainty of calibration solutions thus underpin the traceability of routine analysis and are critical for accurate measurements. Evidence of successful participation in re",5.0,581066cbf259be60a68ebfb6ee0696831b2086c6eac,10.4236/me.2018.94043,Spatial Differentiation of Urban Housing Prices in Guangdong Province and Its Influencing Factors,2018,,Fei Chen,"In the context of the central government’s policies 582on housing prices themed on “adjust 583measures to local conditions and classifying macro-control”, it is of great 584significance to study the convergence and the differences of housing prices. 585Taking the urban area of Guangdong province as an economic unit, this paper 586explores the spatial heterogeneity of housing price in Guangdong Province 587during 1995-2014 and the spatial heterogeneity of its impact factors by means 588of ESDA and GWR models. The study found that the spatial structure of housing 589prices in the region shows a certain circle structure, while the housing prices 590in the Pearl River Delta region are relatively high, there is a big difference 591in housing prices between Zhongshan, Huizhou and other cities. In most of the 592cities in eastern, western and northern Guangdong, the price of housing is low, 593which is extremely different from the price of housing of cities in the Pearl 594River Delta, there is also a huge difference between the housing price of 595Shantou and that of its surrounding cities. The influencing factors of housing 596prices in different cities show a localized characteristic of unbalanced 597linkage. The 598di",5.0,http://www.scirp.org/journal/PaperDownload.aspx?paperID=8396259911c8523952b175909693c076c67e7988b2325d9f,10.3389/fpubh.2025.1495608,Analysis of community older adult care facility construction and demand differentiation based on residential area and population attribute differences,2025,Frontiers in Public Health,Yan-Zheng Liu; Yao-Lei Wang; Guiping Guo; Tu-Bao Yang; Yu-Peng Liu; Hong-Mei Gao; Tiejian Jiang; Xiangmin Li,"Currently, China has fully entered an aging society. The construction and efficient utilization of community older adult care facilities have become urgent issues that need to be addressed. To explore the differences in the needs of older adult people in the community for older adult care services, this study selected three basic needs: life care, medical security, and cultural and entertainment, as the primary indicators of community older adult care needs. A community older adult care demand indicator system was constructed, which included three primary indicators and 11 secondary indicators. Based on the indicator system, a survey questionnaire was designed, and validity analysis was conducted using Kaiser Meyer Olkin test and Bartlett sphericity test. 490 survey questionnaires were distributed to 22 communities in Wuhan, and 447 valid questionnaires were collected, with a response rate of 91.22%. The results indicated that there were significant differences in the distribution of older adult population in different communities. Different types of residential areas and housing prices affected its construction and use. The demand for home-based older adult care services in commun",5.0,60009362e5497ad32c382de0b2daca823925ecfcd24,10.1093/pubmed/fdz171,Democratizing health system data to impact social and environmental health contexts: a novel collaborative community data-sharing model.,2020,Journal of public health,L. E. Boulware; G. B. Harris; P. Harewood; F. F. Johnson; Pamela Maxson; N. Bhavsar; S. S. Blackwelder; S. S. Poley; K. Arnold; B. Akindele; J. Ferranti; Michelle Lyn,"BACKGROUND601Community health data are infrequently viewed in the context of social and environmental health determinants. We developed a novel data-sharing model to democratize health system data and to facilitate community and population health improvement.602603604METHODS605Durham County, the City of Durham in North Carolina, Durham health systems and other stakeholders have developed a data-sharing model to inform local community health efforts. Aggregated health system data obtained through clinical encounters are shared publicly, providing data on the prevalence of health conditions of interest to the community.606607608RESULTS609A community-owned web platform called the Durham Neighborhood Compass provides aggregate health data (e.g. on diabetes, heart disease, stroke and other conditions of interest) in the context of neighborhood social (e.g. income distribution, education level, demographics) and environmental (e.g. housing prices, crime rates, travel routes, school quality, grocery store proximity) contexts. Health data are aggregated annually to help community stakeholders track changes in health and health contexts over time.610611612CONCLUSIONS613The Durham Neighborhood Compass is among the fi",5.0,https://www.ncbi.nlm.nih.gov/pmc/articles/768585861423cf02f10f2a880c8ce728a2252250fc624131dd,10.1108/f-09-2024-0125,Examining location factors of coworking spaces in peripheral areas: an empirical study of rural coworking in Germany,2025,Facilities,Thomas Vogl; Grzegorz Micek,"615Purpose616The coworking spatial model has evolved from predominantly metropolitan settings to include more nuanced, fewer core sites in recent years. CSs have emerged in peripheral areas that enjoy privileges in terms of housing and office markets. However, there is still limited insight into the location factors driving the popularity of CSs in peripheral areas. Hence, the study aims to investigate location determinants of coworking spaces in peripheral areas with emphasis on the significance of living conditions, real market characteristics and tourism development.617618619Design/methodology/approach620In this paper, an urban hierarchy perspective is applied to statistically test the potential demographic, economic, infrastructural, tourism-related and real estate market factors influencing the presence of coworking spaces (CSs).621622623Findings624The results reveal that areas with CSs demonstrate higher housing prices, a higher influx of tourists and lower living area per inhabitant. The authors argue that CSs are attracted by a vibrant tourism sector and housing market and vice versa. Moreover, it is argued that the location factors for rural CSs partly differ from urban CSs.625626627Originality/val",5.0,https://ruj.uj.edu.pl/handle/item/562205628209502a3cc9731c269db5c42c149064220a451f3,10.1016/j.heliyon.2024.e27542,Identifying the spatial heterogeneity of housing financialization in China: Insights from a multiscale geographically weighted regression,2024,Heliyon,Yang Wang; Xiao-Li Yue; Min Wang; Gengzhi Huang,"With the deepening linkage between housing and finance, the financial attributes of housing have been increasing. Thus, housing financialization has become a worldwide phenomenon that is gradually emerging in China's real estate market and thus cannot be ignored. The amount of urban capital is an important manifestation of financialization, but only a few studies have considered the spatial heterogeneity of impact of urban capital amount—represented by loan balances (LOAN) on housing prices. To fill this gap, this study builds a dataset of housing prices and influencing factors for county-level units using 2109 counties in China and analyzes the spatial scope and heterogeneity of housing financialization. Results show that globally, LOAN has a significant positive effect on housing prices, and the impact direction is in line with theoretical expectations. Locally, spatial heterogeneity exists for the impact of LOAN on housing prices, and the phenomenon of housing financialization is mainly observed in China's eastern coastal area. This study can help enhance the understanding of the spatial constraints on the impact of LOAN on housing prices and the spatial heterogeneity of housing",5.0,https://doi.org/10.1016/j.heliyon.2024.e275426291fe0020ebbc9cb9f5fb434984db4a44f6789e96e,10.48550/arxiv.2210.06261,Predicting housing prices and analyzing real estate market in the Chicago suburbs using Machine Learning,2022,Journal of student-scientists' research,Kevin Xu; Hieu Nguyen,"The pricing of housing properties is determined by a variety of factors. However, post-pandemic markets have experienced volatility in the Chicago suburb area, which have affected house prices greatly. In this study, analysis was done on the Naperville/Bolingbrook real estate market to predict property prices based on these housing attributes through machine learning models, and to evaluate the effectiveness of such models in a volatile market space. Gathering data from Redfin, a real estate website, sales data from 2018 up until the summer season of 2022 were collected for research. By analyzing these sales in this range of time, we can also look at the state of the housing market and identify trends in price. For modeling the data, the models used were linear regression, support vector regression, decision tree regression, random forest regression, and XGBoost regression. To analyze results, comparison was made on the MAE, RMSE, and R-squared values for each model. It was found that the XGBoost model performs the best in predicting house prices despite the additional volatility sponsored by post-pandemic conditions. After modeling, Shapley Values (SHAP) were used to evaluate the ",5.0,http://arxiv.org/pdf/2210.0626163013524752d4c1c29c90ed3d605b2686f224e2fb4e,10.18297/etd/570,"From vice to nice : A case study of Newport, Kentucky's HOPE VI program.",2009,,Hanka; M. Jude,"FROM VICE TO NICE: A CASE STUDY OF NEWPORT, KENTUCKY'S HOPE VI PROGRAM Matthew Jude Hanka April 3, 2009 This dissertation examines the outcomes of the Housing Opportunities for People Everywhere (HOPE VI) program in one American city, Newport, Kentucky. HOPE VI also improved the quality of life and satisfaction of former public housing residents who participated in the Community and Supportive Services (CSS) program, the case management program of HOPE VI. HOPE VI neighborhoods in Newport have experienced higher increases in property values. The site of the old public housing in Newport has been cleared to make way for an $800 million$1 billion investment over the next 10-15 years. The development will offer a first-class, mixed use development, including retail, office, condominiums, a hotel, and additional amenities in close proximity to downtown Newport. The reduction of HOPE VI funding has made this dissertation timely and important in documenting the impact of a federal program like HOPE VI on a small sized city. An increased commitment by the Obama administration and increased funding for HOPE VI is necessary to ensure that homeownership is the best way to ensure livable and ",5.0,https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=1569&context=etd63100bdd52e5604f276be9d9513b17bcacceeffecd9,10.1111/jtsa.12442,On a Semiparametric Data‐Driven Nonlinear Model with Penalized Spatio‐Temporal Lag Interactions,2018,Journal of Time Series Analysis,Dawlah Alsulami; Zhenyu Jiang; Zudi Lu; Jun Zhu,"To study possibly nonlinear relationship between housing price index (HPI) and consumer price index (CPI) for individual states in the USA, accounting for the temporal lag interactions of the housing price in a given state and spatio‐temporal lag interactions between states could improve the accuracy of estimation and forecasting. There lacks, however, methodology to objectively identify and estimate such spatio‐temporal lag interactions. In this article, we propose a semiparametric data‐driven nonlinear time series regression method that accounts for lag interactions across space and over time. A penalized procedure utilizing adaptive Lasso is developed for the identification and estimation of important spatio‐temporal lag interactions. Theoretical properties for our proposed methodology are established under a general near epoch dependence structure and thus the results can be applied to a variety of linear and nonlinear time series processes. For illustration, we analyze the US housing price data and demonstrate substantial improvement in forecasting via the identification of nonlinear relationship between HPI and CPI as well as spatio‐temporal lag interactions.",5.0,https://eprints.soton.ac.uk/426419/1/revision_R2_v2.pdf6321abbb5ab1414a7fc78fc725d56b39ea8c7eb55c8,10.1080/14445921.2017.1303262,Quantifying changes in risk perception through house price differentials following the catastrophic Canterbury earthquake event,2017,,Callum Logan,"Abstract Studies of risk perception across multiple disciplines conclude similar findings, one of which is that the perceived risk of extreme and rare events, such as earthquakes, is underestimated before the event and overestimated after the event occurs. This paper examines whether this change in risk perception is detected in price differentials for housing. A Difference-in-Difference (DID) model is used to model the events utilizing control and treatment variables to estimate price determinants. The findings indicate that after the 22 February 2011 Canterbury earthquake consumers’ are paying premiums of 15.1, 18.8 and 16.1% to live on no risk, low risk and medium risk land, respectively, compared to high risk zoned land. This supports the hypothesis that consumers’ perception of risk became more acute after experiencing an extreme event. Risk premiums associated with safer land zones are not evident in the coefficients for control variables implying there was no accounting for land risk before the earthquakes.",5.0,https://figshare.com/articles/journal_contribution/Quantifying_changes_in_risk_perception_through_house_price_differentials_following_the_catastrophic_Canterbury_earthquake_event/2750687163303d00ed18477478e82bd3d2122c9ef5a4ba342e4,10.56397/jwe.2023.09.03,Housing Price Prediction Using Machine Learning Algorithm,2023,Journal of World Economy,Ling Zhang,"This study examines the effectiveness of various machine learning models, including K-Nearest Neighbors (KNN), Ridge Regression, Random Forest, and Extreme Gradient Boosting (XGBoost), in predicting housing prices, using Multiple Linear Regression as a traditional baseline for comparison. Utilizing a dataset of residential property sales in Ames, Iowa, the XGBoost model was found to significantly outperform the baseline, highlighting the efficacy of machine learning techniques in this domain. Furthermore, the study applied the TreeSHAP package to enhance the interpretability of the XGBoost model, effectively bridging the gap between prediction accuracy and interpretability. The results underscore the potential of machine learning methods, particularly XGBoost, in housing price prediction, suggesting a need for further research to validate these findings using different datasets and exploring other machine learning algorithms.",5.0,https://www.pioneerpublisher.com/jwe/article/download/392/34763411bb987011b537578d8df197fc6003d8baf8b678,10.3390/math11040987,A Bayesian Variable Selection Method for Spatial Autoregressive Quantile Models,2023,Mathematics,Yuan-Ying Zhao; Deng-Ke Xu,"In this paper, a Bayesian variable selection method for spatial autoregressive (SAR) quantile models is proposed on the basis of spike and slab prior for regression parameters. The SAR quantile models, which are more generalized than SAR models and quantile regression models, are specified by adopting the asymmetric Laplace distribution for the error term in the classical SAR models. The proposed approach could perform simultaneously robust parametric estimation and variable selection in the context of SAR quantile models. Bayesian statistical inferences are implemented by a detailed Markov chain Monte Carlo (MCMC) procedure that combines Gibbs samplers with a probability integral transformation (PIT) algorithm. In the end, empirical numerical examples including several simulation studies and a Boston housing price data analysis are employed to demonstrate the newly developed methodologies.",5.0,https://www.mdpi.com/2227-7390/11/4/987/pdf?version=167644814863503927d4dbf35ee6bbef26f645ef64e23b505c67c,10.1002/ijfe.1770,New synchronicity indices between real and financial cycles: Is there any link to structural characteristics and recessions in European Union countries?,2020,,Mariarosaria Comunale,"In this paper, we examine the comovements and relationships between real, credit, house, and equity price cycles in European Union countries looking at their link to structural characteristics and their predictive power for future recessions. We make use of new within country synchronicity indices, finding that among the different credit cycles and between the house price cycle and the real cycle, there is a relatively high level of synchronicity. Credit and gross domestic product (GDP) fluctuations seem to be less synchronised, mostly because credit volumes tend to lag the real cycle by several quarters. The high rates of private homeownership tend to be associated with larger cycles in GDP, credit, and house prices. Higher loan‐to‐value ratios, seen as a proxy of borrowing constraints, and a higher percentage of flexible‐rate mortgages, could also indicate that a country is more sensitive to shocks and possibly increase procyclicality and increase cycle volatility. Finally, the procyclicality of the credit and housing market to the GDP cycle can be linked to the fluctuation in current accounts and their misalignments with respect to the theoretical equilibrium value. Some synchro",5.0,63605a805de196626dfc6356b86176ff618a59a89c4,10.1093/qopen/qoab012,The Impact of Airport Noise on House Prices,2021,Q Open,K. Kaur; Buly A. Cardak; R. Mcallister,"637 Using individual house sale data and the release of an airport noise contour map, the relationship between airport noise contours and house prices in Melbourne is studied. House prices are not related to noise contours but annual aircraft movements and distance from the runway are both identified as important determinants of the price of houses near the airport. Houses farther from the airport runway but with the same observable characteristics command a premium of up to 37 per cent which is likely attributable to a range of externalities from the nearby airport including airport noise. Results are robust to tests for time variation in airport disamenity values. The results suggest households use distance to the runway as a proxy for the effects of airport noise.",5.0,https://academic.oup.com/qopen/article-pdf/1/2/qoab012/39406604/qoab012.pdf6380152205fbec9f9e3dbe2da86a9904b2bffd191ec,10.1080/02673037.2019.1636003,Incentivizing residential land development,2019,Housing Studies,Graeme Guthrie,"Abstract The owners of undeveloped urban land are often blamed for restricting housing supply and thereby driving up house prices in the face of increasing demand. This article shows how greater variation in amenity values across a housing market reduces competition between developers and makes delaying development more attractive to landowners. Competition can be enhanced, and development of land accelerated, by reducing this variation. In particular, governments can increase housing supply in more desirable areas by taking actions that boost the amenity value of land in less desirable areas.",5.0,https://doi.org/10.2139/ssrn.3287474639doi_10_1108_01443589910252566,10.1108/01443589910252566,Maintaining the status quo: federal government budget deficits and defensive rent‐seeking,1999,Journal of Economic Studies,Franklin G. Mixon; James B. Wilkinson,"The purpose of the present study is to test the hypothesis alluded to by Tullock, within the context of defensive rent‐seeking efforts developed by others (e.g. McChesney). Here, we test the idea that defensive rent seeking efforts (or rent‐defending) to maintain the status quo augment offensive rent‐seeking (all proxied by real campaign contributions to US House/Senate candidates, 1976‐1992) during federal budgetary climates of deficit‐cutting (budget‐balancing). When a panel estimator is properly used, our econometric evidence confirms our hypothesis. Evidence from a Parks regression technique suggests that total rent‐seeking is positively related to the amount of federal spending, as others have shown, but that rent‐seeking efforts increase when federal budget deficits are reduced, threatening existing spending patterns and rents. Perhaps an unintended consequence of deficit‐reduction efforts, holding government spending constant, is an increase in the size of the rent‐seeking industry.",5.0,640doi_10_3917_ecofi_115_0269,10.3917/ecofi.115.0269,"Logement, crédit et surveillance macroprudentielle",2014,Revue d'économie financière,Sanvi Avouyi-Dovi; Claire Labonne; Rémy Lecat,"La surveillance macroprudentielle bénéficie désormais d’un cadre institutionnel dans les pays avancés. Cet article présente les outils disponibles pour le diagnostic du marché immobilier résidentiel et du marché du crédit à l’habitat, marchés qui sont intrinsèquement liés. Des indicateurs clés font l’objet d’un suivi régulier, mais ils peuvent être tardifs compte tenu de l’inertie du marché immobilier. Les méthodes complémentaires de capitalisation risquent également de produire des indicateurs tardifs car elles ignorent la réaction de l’offre à terme. Les outils de détection avancée des risques n’ont pas de présupposés théoriques mais ils peuvent ignorer des ajustements inattendus des fondamentaux. La modélisation des comportements offre l’alternative théoriquement la plus satisfaisante, mais présente d’importants défis de mise en œuvre. Enfin, une modélisation du marché immobilier et du marché du crédit dans le cas français est présentée. Classification JEL : G21, G28, R31, R51.",5.0,641doi_10_1590_s0101_41612008000100004,10.1590/s0101-41612008000100004,Modelos de precificação hedônica de imóveis residenciais na região metropolitana de São Paulo: uma abordagem sob as perspectivas da demanda e da oferta,2008,Estudos Econômicos (São Paulo),Luiz Paulo Lopes Fávero; Patrícia Prado Belfiore; Gerlando A. S. Franco de Lima,"Este trabalho utiliza-se da técnica de modelos de preços hedônicos em uma amostra de 1860 apartamentos residenciais com lançamentos no ano de 2004, localizados em distritos de renda baixa, média e alta da Região Metropolitana de São Paulo. Por meio da utilização da especificação logarítmica em equações de dois estágios de Rosen, o modelo verifica quais atributos mais interferem nas condições de oferta e demanda dos imóveis e compara a importância relativa de cada um quando se varia o perfil sócio-demográfico. Para tanto, atributos intrínsecos e extrínsecos são analisados, possibilitando o estudo de estratégias de projetos designadas para cada tipo de imóvel, consistentes com as preferências dos consumidores.",5.0,642089e80b81217fa80af8858fe247e0ff172c682d1,10.1016/j.ijtst.2024.01.009,Impacts of characteristics of service facilities in metro station area on housing prices,2024,International Journal of Transportation Science and Technology,Min-Qing Zhu; Chengwang Zhou; Yi-Zhe Yang; Hong-Jun Cui; Xinwei Ma,,5.0,https://doi.org/10.1016/j.ijtst.2024.01.00964322f73fd51f089d65d2498c6cb0a98173ce31aeb5,10.1108/ijhma-03-2017-0027,Spatial–temporal neighbourhood-level house price index,2018,,I. Sipan; A. Iman; M. N. Razali,,5.0,http://umkeprints.umk.edu.my/10516/1/Spatial%E2%80%93temporal%20neighbourhoodlevel%20house%20price%20index.pdf644doi_10_1061__asce_0733_9488_1996_122_4_118_,10.1061/(asce)0733-9488(1996)122:4(118),Forecasting House Rental Levels: Analytical Rent Model versus Neural Network,1996,Journal of Urban Planning and Development,Heng Li; Vera Li,,5.0,645doi_10_1080_000368498325147,10.1080/000368498325147,Estimating an hedonic translog cost function for the home health care industry,1998,Applied Economics,Cynthia S. Dudzinski; O. Homer Erekson; Andrea L. Ziegert,,5.0,646doi_10_2747_0272_3638_12_5_450,10.2747/0272-3638.12.5.450,"A SPATIAL ANALYSIS OF RENT SHIFTS IN THE CHICAGO RENTAL HOUSING MARKET, 1970-1980",1991,Urban Geography,Brigitte S. Waldorf,,5.0,6471834769776f04314d68b4b463ac5330bf57452cf,10.1111/1540-6229.00305,A Note on the Bias in House Price Capitalization Models,1983,,T. Clauretie,,5.0,6485a3936fb202b23751e85943007779ddc4ab3872b,10.1429/30314,Hedonic-Based Price Indexes for the Housing Market in Italian Cities: Theory and Estimation,2009,,A. Michelangeli; Alberto Zanardi,,5.0,64909649a3f0f5d2b4e706f56d532cff7be029eb425,10.1016/j.jhe.2015.05.001,Hedonic equilibria in housing markets: The case of one-to-one matching,2015,,John M. Yinger,,5.0,6501203059fdcfa261951cd38b82d2ab5024be30014,10.20868/upm.thesis.6674,Transportation infrastructure impacts on house prices and firms location: the effect of a new metro line in suburbs of Madrid,2011,,Lucía Mejía Dorantes,"ABSTRACT Transportation infrastructure, is known to impact urban areas in a number of significant ways. Those effects may be classified as: transportation-related effects, land-use effects and effects on jobs and business activities. Commuter rail and metro stations can have both positive and negative effects. On the positive side metro stations increase the accessibility to public transportation for the people living nearby and reduce their travel time and costs to other destinations in urban areas. Similarly, business activities near the stations also enjoy some advantages. On the one hand, jobs and shops are now more accessible for those coming from any destination. On the other hand, business activities close to the stations—especially shops—can also benefit from the increase in the number of people who pass by the shops in their way to or from the stations. Many negative effects associated with metro stations are spatial externalities, including noise and changes to the urban landscape. The effects described above depend on the type of transport infrastructure, its location, and its specific characteristics. A problem of interest whenever a new transportation infrastructure an",4.0,https://doi.org/10.20868/upm.thesis.6674651doi_10_5821_ace_v3i8_2455,10.5821/ace.v3i8.2455,Hacia la construcción de un discurso sobre la inmigración en las ciudades del sur de Europa. La política urbanística y de vivienda como mecanismos estructurales de marginación étnica residencial.,2008,"ACE: Architecture, City and Environment",Sonia Arbaci,"Las ciudades pueden ser mecanismos para favorecer tanto la integración como la exclusión. En las ciudades del sur de Europa la vivienda y la marginación residencial representan los elementos más importantes y controvertidos que condicionan el asentamiento y la inclusión de la inmigración. A pesar de ello, existe una notable falta de investigación sobre dichos elementos en la literatura de los estudios comparativos de la Europa meridional. La complejidad del patrón de asentamiento y segregación étnica han sido, a menudo, incorrectamente atribuidos únicamente a mecanismos de mercado o a las intratables dinámicas de polarización. Sin embargo, la construcción de un discurso sobre la inmigración requiere un entendimiento claro de la actual inserción residencial de una gran variedad de inmigrantes. Sobre la base de un estudio comparativo de ocho ciudades mediterráneas, en este artículo se analizan las facetas distintivas de la segregación étnica dentro de un contexto societario amplio. Especial énfasis se pone en el papel del sistema de vivienda y los procesos urbanos en la diferenciación étnica y social. Los problemas y sus causas son re-conceptualizados. Se demuestra que niveles bajos ",4.0,6520a8f8346927284b09dc1e42227b105534e47106a,10.1108/ijhma-10-2023-0135,Factors affecting the housing prices in the metropolis of Tehran,2024,International Journal of Housing Markets and Analysis,S. Rajaei; A. Mottaghi; Hussein Elhaei Sahar; Behnaz Bahadori,"653Purpose654This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).655656657Design/methodology/approach658The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.659660661Findings662Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from ga",4.0,663141d117163eb2ec55ec09043eab599b7a0e1a1d7,10.53383/100065,International Real Estate Review,2005,International Real Estate Review,Evren Ozus; V. Dokmeci,"This study investigates the effects of revitalization process in Beyoglu, Istanbul. Since the 1980s, spatial impacts of transformation have become apparent on Istanbul and these impacts have taken their most intense forms in the historic city centres, as Beyoglu. While Istanbul has grown through the restructuring of the urban economy, social and spatial reconstruction, and innovative transportation and communication technologies, Beyoglu has begun to regain its characteristics. Projects and investments to reconstruct Beyoglu have been successful in changing this process and have achieved their targets particularly in Beyoglu’s residential areas and the region has started to develop. In order to analyse the development process, this paper focused on the three revitalized neighbourhoods in Beyoglu, which have been popular residential areas in Istanbul. We use social, economic, and spatial indicators, such as population, property prices, and functional transformation. The revitalization process has significant effects on social, economic, and spatial structure of Beyoglu. For further studies, it will be useful to repeat this study in other historical residential areas of Istanbul in o",4.0,https://doi.org/10.53383/100065664