spb/wp21_uqo

1record_id,decision,reason_code,reason,property_type_guess,outcome_guess,country_guess,ai_ml_flag2c4ffdbb331463e1d17c21a3672b523d5373bb545,exclude,E5_not_empirical_regression,"Submarket classification framework, no price regression",unknown,unknown,United Kingdom,03cc1b21966412c5d3c3858a50f0216cd12654c31e,exclude,E5_not_empirical_regression,Editorial introduction,unknown,unknown,United States,0429195fe915e2991fc59708977a3f5ba92e3db88e,exclude,E1_no_residential_price,"Land assessed price tax policy, legal analysis",unknown,unknown,South Korea,05a547082f94caf20169972825982bb64b818d7b58,exclude,E8_not_housing_market,"Mental health outcome, not price determination",unknown,unknown,China,0641cb0f5b7f82ad632617acde306708968192cf67,exclude,E2_no_characteristics,"DSGE macro housing model, no unit characteristics",unknown,unknown,New Zealand,0729e74b784ed235cd43f6373e8c71882c067a98b0,exclude,E3_theory_method_only,Tax valuation legal study,unknown,unknown,South Korea,0843b1f8970ccc9c14887e1af43cd428cbce747f3e,exclude,E5_not_empirical_regression,Survey of financing perceptions,unknown,unknown,Indonesia,095c2615c6ffd113b04db9ecbf8743c5014da50c4c,exclude,E2_no_characteristics,Time-series/NN forecasting of average market prices,unknown,unknown,Russia,1109e3527d99811d3be32fdffc849c2ea9908e83e4e,exclude,E8_not_housing_market,Radon testing public health,unknown,unknown,United States,0117067e7b44aaf5160e4b76a5bcd2206e158e529c7,exclude,E8_not_housing_market,Youth mental health,unknown,unknown,United States,0123a9a770acc7e5e19d049619390908840317a409b,exclude,E8_not_housing_market,Cancer trial enrollment,unknown,unknown,United States,013d747b6191cf3416bea83d85e62acdb5d94570aa0,exclude,E4_review_or_meta,AVM international comparison review,unknown,unknown,unknown,014b1703a1fbe6e9b59a3c163e75b72baf482942d98,include,ELIGIBLE_HEDONIC,"Location factors of house selling prices, Depok",single_family,listing,Indonesia,01575acd9f9bd05765f914d15ddf6bd021b6e13ff35,exclude,E1_no_residential_price,Housing gift tax behaviour,unknown,unknown,South Korea,016f6d738d1b12cf35952e5fdc812496f37c4bb9c96,exclude,E8_not_housing_market,Cancer outcomes,unknown,unknown,United States,017ab98f8c0628bc3dbd16883c3f29cde05ef98b42e,exclude,E5_not_empirical_regression,"Big-data metahouse abstraction, no price regression",unknown,unknown,Russia,0188d7a4fb8ea8b050402b49e0e1161aa7ab0c3767d,unclear,UNCLEAR_other,Dissertation on precipitation risk; hedonic price chapter unclear,single_family,transaction,New Zealand,019a32da664bdfbb4e948cdcebe3a38b512ae4db40a,unclear,UNCLEAR_other,CAMA mass appraisal application; model/residential detail unclear,unknown,appraisal,Bosnia and Herzegovina,02065e29a878118f88d4608defe0403776aa57bc7d0,exclude,E8_not_housing_market,Immigrant spatial patterns,unknown,unknown,United Kingdom,0214ef773d0acf70d26a0e78eaeaa9eef98639298e9,unclear,UNCLEAR_other,"Outcome rental yield of condos, transit accessibility; price/rent regressions unclear",condo_apartment,rent,Thailand,022a9b2be288b859e2239a8d1164204be3c81c7cfde,exclude,E8_not_housing_market,Urban revitalization creator hubs,unknown,unknown,South Korea,023658d90ef0d3258314450bd96c51f0fddfe97d6c8,exclude,E8_not_housing_market,Mortgage interest deduction distribution,unknown,unknown,United States,024d77a044aa849e0c3b289ca46205d433e83a5364e,exclude,E2_no_characteristics,Housing bubble macro analysis,unknown,unknown,South Korea,025a27f32521298ba5701c9d495b9104c484b36539c,include,ELIGIBLE_HEDONIC,"Spatial modelling of one-room apartment values, socio-economic factors",condo_apartment,listing,Ukraine,0263eb30c0bafc79005329b63308af2ca9de8e8422e,exclude,E2_no_characteristics,City-level price dynamics across Tier-II cities,unknown,unknown,India,0278e0cff70d0ba33e58f0b88d60d9d9dff44479caf,exclude,E5_not_empirical_regression,Special issue introduction,unknown,unknown,unknown,028f4cdeccc990457ccab2efca6e10e923720451a86,exclude,E3_theory_method_only,Regulatory prudential value operational model,unknown,unknown,Italy,029e2415ed3f5cc748e15f44eef43b10642a8d35ec3,exclude,E8_not_housing_market,Urban segregation enclaves,unknown,unknown,Brazil,030a133c2b8b2eb382b25c0d9fe310b7bafe20a31dd,exclude,E1_no_residential_price,Commercial real estate prices,unknown,unknown,Kenya,031888b54865cf336a2d995da1434ddc17752f08b25,exclude,E5_not_empirical_regression,Book review,unknown,unknown,United States,03291f9f13144d287c244d378ca7e9c888de7285903,exclude,E5_not_empirical_regression,Book review gentrification,unknown,unknown,United States,033cb581c1c03d8ad1cd9bd84f4a48673977c11e0a0,exclude,E8_not_housing_market,Green space and allergies,unknown,unknown,China,034708cb5206c99bee3bd1a751edfcbb06262935043,exclude,E5_not_empirical_regression,Developer strategies qualitative,unknown,unknown,Taiwan,0358eab2baa96bf028ef5075303dd265654b52cafbd,exclude,E5_not_empirical_regression,Editorial,unknown,unknown,unknown,036e451a0191069d1141126c4315fe945aa4b0baff2,exclude,E8_not_housing_market,Built environment and health,unknown,unknown,United States,037e2e8ce177e62fd834cbefc0f30a5b8ee655ad5e9,exclude,E8_not_housing_market,Grocery delivery travel,unknown,unknown,Italy,03871a26ac4937e405ad5fd57ff4b175a7bd3db082f,exclude,E1_no_residential_price,Mortgage lending macro,unknown,unknown,Kazakhstan,03999d862e1e682753af72303ea1e8da7c9c933129d,exclude,E3_theory_method_only,Introduction to tax system chapters,unknown,unknown,Japan,0409ebd36a42a24db7dcda1662acf0b0079e5efbeda,exclude,E5_not_empirical_regression,Housing design thesis,unknown,unknown,New Zealand,04154d7798e6d77093a904a5aceb753929b8f6700de,exclude,E8_not_housing_market,Seismic risk mitigation,unknown,unknown,Albania,042b3d62045b0df9370163d4c3582805e4dbafa60b9,unclear,UNCLEAR_other,ML UK house price forecasting; unit-level vs regional data unclear,unknown,unknown,United Kingdom,143e5af3858c1d341e8916c7d2c324262df6722dac1,exclude,E8_not_housing_market,Bankruptcy and race,unknown,unknown,United States,04435c42ebc1505d4785818d8638a58e4e0645e2136,exclude,E8_not_housing_market,Informal housing problem,unknown,unknown,Iraq,0454fd963990fdf0dcc148d1cb09d4672dfe7bbc269,exclude,E2_no_characteristics,National housing market factor analysis,unknown,unknown,Ukraine,0462e3de6ec721f6bc58be2bb6adc284a2e964b3ff6,exclude,E2_no_characteristics,Macro panel of city house prices,unknown,unknown,Poland,0474fade3b24272d539442fa7526c33528776eae584,exclude,E2_no_characteristics,Macro wartime market factors,unknown,unknown,Ukraine,048b6d7ebe69a7b26ea7465c0215b2e3a7970639e62,unclear,UNCLEAR_other,"Sub-district aggregate housing/land prices, SDM + XGBoost-SHAP on facilities; aggregation level flag",mixed,unknown,South Korea,14969c0e6c1b5774c1329ed0379af416457f348bdf4,include,ELIGIBLE_HEDONIC,"Econometric model of asking prices on housing/location attributes, regeneration",condo_apartment,listing,Italy,050e9ee3d7fa5a8ac884e1b11dbc6c470bedbdf47f8,exclude,E8_not_housing_market,Cardiometabolic health,unknown,unknown,United States,05197a29415219c0839e3490f475d09ae9e22af5eaf,exclude,E5_not_empirical_regression,Descriptive market analysis,unknown,unknown,Ukraine,052702eacc55336758fc2858adc3357595986ed1054,exclude,E1_no_residential_price,Commercial property values,unknown,unknown,Nigeria,053bf5f82c642c0b6ec62378894155e0a1d728267b1,unclear,UNCLEAR_other,Heritage designation impact on residential value; method unclear,unknown,unknown,Sri Lanka,0540e2560e08d4be50aab661de176cad15b0cb5c316,exclude,E8_not_housing_market,Energy transition,unknown,unknown,Colombia,0554515febc5d5fca65e3a36e6f6233d5458cb7fad9,exclude,E8_not_housing_market,Jobs-housing TOD typology,unknown,unknown,China,05686b8189c7d223987e69a64adcbd01d10c8a4a8d9,exclude,E8_not_housing_market,Dengue incidence,unknown,unknown,Philippines,0572eccc0161d4e54491f7121341f0a924554123dd5,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML house price prediction project,unknown,unknown,unknown,1582ed07a1810630a3e0ed3df90720216a210570044,exclude,E3_theory_method_only,Economic theory essay,unknown,unknown,United States,059b34db013cb7a00c0cc4dd3791fd023ed0c885e45,exclude,E3_theory_method_only,Conceptual framework infrastructure capitalization,unknown,unknown,unknown,060e24585433dd158c6d584ad0fc8c841a10b451bcf,exclude,E8_not_housing_market,Heat and heart disease,unknown,unknown,United States,06182c1353f17273a5817493bea818c75ac96f8a626,exclude,E5_not_empirical_regression,Medium density housing design essay,unknown,unknown,United States,062a19c363ce56860e0d288d70c17898559b8241012,exclude,E2_no_characteristics,Metro-level HPI downturn prediction,unknown,unknown,United States,16387691f8649483df9b96b24df76880b3bae3b1602,include,ELIGIBLE_ML_PREDICTIVE_ONLY,CatBoost proxy-valuation of listings to flag undervalued units,condo_apartment,listing,Russia,164849ffb5051e497d792b4d29d7be4cda84b4660d3,exclude,E1_no_residential_price,Outcome time on market,unknown,unknown,United States,065f0dfd97e512aee1bfac9c0c89e88d3f3e332b5c5,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML comparison on Ames housing data,single_family,transaction,United States,16644ae73e772a75ef14a7c49aedea3f6f0d71e063c,exclude,E2_no_characteristics,Monetary policy and house prices macro,unknown,unknown,Spain,06791d2fc62c465f1dd8466038ebbf2da1efb2ae53a,exclude,E8_not_housing_market,Ride-hailing demand,unknown,unknown,China,06864ba5718cab9579722dd7109c012d4c226b91c07,exclude,E2_no_characteristics,Market-level analysis Warsaw,unknown,unknown,Poland,069d30d6f191d9ec323f7113f14bf7405b1c54a56b0,exclude,E2_no_characteristics,Macro determinants China real estate price,unknown,unknown,China,07058617f408330c8d7db78d85620c61a77e43a8cff,exclude,E1_no_residential_price,Mortgage lending risk methodology,unknown,unknown,unknown,071ab075d7f7252fbca925be25b91b344884cd55516,exclude,E8_not_housing_market,Housing element law,unknown,unknown,United States,072e8100671e6f01234b6db66d90576c2f0dc378523,exclude,E2_no_characteristics,Housing regime classification macro,unknown,unknown,United States,173a2b536ec04f0dac5420d838986e4971f2488614e,exclude,E5_not_empirical_regression,Delphi expert survey,unknown,unknown,India,074ad4880c1c13209bda1dc3f98e5da148188d920fa,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML appraisal value estimation for tax module,unknown,appraisal,Ukraine,17545fe6b5c71fc49620566500bc157967a77b6410a,exclude,E1_no_residential_price,"Outcome foreign investment location, PSM",unknown,unknown,United Kingdom,07651a11d3b2f52781176626d01611a9735a5fb4e02,exclude,E5_not_empirical_regression,Sentiment/expectations analysis,unknown,unknown,United States,07789e3913b2b05167413a08dedf6ab3c624ae9ac99,exclude,E1_no_residential_price,County residential land prices,unknown,unknown,China,078e048ddf80383023f75cf185779ccdfd2a59f7c64,exclude,E2_no_characteristics,Macro policies and house prices,unknown,unknown,Ghana,079bfd9b70164a2d1a335b6b31e7fa743980a9008e2,exclude,E8_not_housing_market,Mortgage and household income,unknown,unknown,Kazakhstan,080bfe777ca1620f308f42c0885023e87bc5e76dc81,exclude,E1_no_residential_price,Homeownership determinants,unknown,unknown,Malaysia,0813a82ed9242cd6946d4d6214dd216e73caa84f336,exclude,E3_theory_method_only,Housing market dynamics overview chapter,unknown,unknown,Turkey,082a7c2b619697b5a90d1acf6b7df4ea0f4f9d3f745,exclude,E5_not_empirical_regression,Negotiation outcomes survey,unknown,unknown,Nigeria,083654004961a5a2cbe10a8d52513219e45d59b7258,include,ELIGIBLE_ML_PREDICTIVE_ONLY,RF+XGB hybrid on house price dataset with property features,unknown,listing,Iraq,184417922b800641d07da880054906a0c2808e963e6,exclude,E2_no_characteristics,Area-level housing wealth mapping from imagery,unknown,unknown,unknown,185fadf2a17c179d4c68f2a374a3c64fffcb2863fc9,exclude,E2_no_characteristics,Macro determinants Slovak market,unknown,unknown,Slovakia,08673afbaf400205c273a68a83ecbf5824c7040910b,exclude,E8_not_housing_market,Megaproject ESG,unknown,unknown,unknown,0876ad1c8cd3b62de8723af9d4ca34085ba5fa7dec2,exclude,E2_no_characteristics,VEC national price dynamics,unknown,unknown,Colombia,088b5921ce2349c3e93f1716870fe42a28b6a38d5da,exclude,E2_no_characteristics,Regional HPI causality,unknown,unknown,United Kingdom,0898649a73d38d76a00218a85416c4ac2beaa8f63ee,exclude,E8_not_housing_market,Depression and housing prices,unknown,unknown,Iran,090dbed2746b9ffc50026f6a2d6fb3f02b6a616b278,exclude,E1_no_residential_price,Housing tenure of migrants,unknown,unknown,China,091772a5463bb41cadba99701f0efa9c41e35defef8,exclude,E2_no_characteristics,Regional wages vs house prices,unknown,unknown,Czech Republic,0926504accccc4e38141d966f0196a8c068115c96fd,exclude,E2_no_characteristics,Hot money and national housing prices,unknown,unknown,Turkey,0934bb87ee76bfba6acac357cc4755f4b6a932609dc,exclude,E1_no_residential_price,Mortgage availability,unknown,unknown,Russia,094b5c231d5ebe30d896c5855b61fb85f74545eeaa3,exclude,E8_not_housing_market,Linguistics homeopathy,unknown,unknown,unknown,0954e1e0ae815cd9229e39e333a86f0764ee643f300,exclude,E8_not_housing_market,Urban plant diversity,unknown,unknown,China,0962768387db18e250c8c615f2279cbe12bdacc3d2a,exclude,E8_not_housing_market,Firm productivity,unknown,unknown,China,0972a60ad65cd6993d2bcd461d2c0087e19f7638970,exclude,E8_not_housing_market,Immigrant settlement and income,unknown,unknown,unknown,0987c14a2878738b04d2a224ace1996d3bffdbf1455,exclude,E5_not_empirical_regression,Stakeholder perception gaps,unknown,unknown,Taiwan,0993e8a66d9c5f910183c046871189fdd16e8f86e99,exclude,E4_review_or_meta,Systematic review of pricing technologies,unknown,unknown,Brazil,1100e2fea123d6417ddd51372afdcf0969732c2aa21f,exclude,E5_not_empirical_regression,Questionnaire Likert analysis,unknown,unknown,Nigeria,01019ba26d9949fd0099a122b249e996b0417baecf4a,exclude,E8_not_housing_market,Carbon units criminal law,unknown,unknown,Russia,010261e5dfd6d6524d88e8256ff82a99dabb2a00bf05,exclude,E5_not_empirical_regression,Stated choice experiment,unknown,unknown,Kenya,0103fcec00fae70d014feb2920bdc21458721ab346c7,exclude,E3_theory_method_only,Policy brief gentrification,unknown,unknown,New Zealand,0104e1befe8d470af5ab5b9ea98f2b17c6ece3c491a6,exclude,E1_no_residential_price,Housing wealth and consumption,unknown,unknown,China,0105d7a66e466405cf8ea995920db6395cc0c1cfa34d,exclude,E8_not_housing_market,Reforestation,unknown,unknown,Rwanda,0106be5723a829c3addd4a61fa05d236d49d40102166,exclude,E8_not_housing_market,Coworking law,unknown,unknown,Indonesia,010712d6ee799e126130b2a765b45573c151950677ba,include,ELIGIBLE_ML_PREDICTIVE_ONLY,CatBoost rent forecasting of listed properties for investment bot,condo_apartment,rent,Russia,1108ab3bce93e97f8d91cc6717b6039636c6e26d5292,exclude,E8_not_housing_market,Rural housing renewal,unknown,unknown,China,01093522685fb9c06f767c44d730b7b9fc832753ae36,exclude,E8_not_housing_market,Heart failure screening,unknown,unknown,China,0110b6b4a5cf68aef27a8f49154f9ffe2468c67eac7e,exclude,E8_not_housing_market,Urbanization analysis,unknown,unknown,Iran,01111447de314069d877546aa0dc1f932ada4198fcfa,exclude,E8_not_housing_market,County population change,unknown,unknown,United States,0112571a5ca7b0b9c123e1beb46b173b984f4ff333ee,exclude,E8_not_housing_market,Solid waste generation,unknown,unknown,unknown,0113aff547b3c4285724199355d7ff2487b84945f5b4,exclude,E2_no_characteristics,Monetary shocks on national HPI,unknown,unknown,South Korea,0114b4adeab2433cc9821cce6c12f8379c94de0947e5,exclude,E8_not_housing_market,Front yard landscapes,unknown,unknown,Puerto Rico,0115cc76b03c6f6ecf0621bfcee0a503f84fe4d25a05,exclude,E5_not_empirical_regression,Agency survey perceptions regression,unknown,unknown,Kenya,01167df8a4f2595bbe1e6ae88215fed9f1c2af7a574c,include,ELIGIBLE_HEDONIC,"OLS and quantile regression of housing prices on factors, NCR listings",condo_apartment,listing,India,0117bec725023b76ebf4c13947602fad899d23efd37c,exclude,E2_no_characteristics,Monthly city price time-series forecasting,unknown,unknown,China,11182a8ef2f7e74a127ef2e16d2ca3e4189f85a79895,exclude,E2_no_characteristics,Regional affordability analysis,unknown,unknown,Slovakia,0119a08008d3d0d0437c8a43ea013517df2194654760,exclude,E1_no_residential_price,Commercial rental value,unknown,unknown,Nigeria,0120412b6c5b4d00ed3435305992ca11fb89f14f60ea,exclude,E8_not_housing_market,Cardiovascular care,unknown,unknown,United States,01219e6dfb74d73a8f54ca1467507b46c94a3d146ec1,exclude,E2_no_characteristics,FUA panel HPI vs productivity,unknown,unknown,unknown,0122bd0670dfe6c7a68b31620d4181ec80d750e884ad,exclude,E8_not_housing_market,Food environment diet,unknown,unknown,United States,0123a2d5cdf903d0bad0bc0c6afe0419b728d6acfa46,exclude,E8_not_housing_market,Last-mile delivery demand,unknown,unknown,Greece,012433e97fe7f23b6cee85356af11d275c3760ece7c2,exclude,E5_not_empirical_regression,Longitudinal survey of residential development effects,unknown,unknown,Nigeria,01253963eed55880dbed654b5fa5d5eeb97464e7549e,exclude,E8_not_housing_market,Parking assistant,unknown,unknown,Ukraine,01265724dac66ae9c368f50833143a2ca285cba5669b,exclude,E3_theory_method_only,Valuation techniques overview,unknown,unknown,unknown,0127fafa3a6c39577efbf9ac1d399f4c30d044d056f8,exclude,E8_not_housing_market,Mental health built environment,unknown,unknown,Iran,0128b08c79398f40f05b692f409bb0414d98e988a6cd,exclude,E8_not_housing_market,Commercial alley sales,unknown,unknown,South Korea,01292d31b9af26f2db847c0ec33bec108bd673ca2cbc,exclude,E8_not_housing_market,Urbanization housing infrastructure,unknown,unknown,Uzbekistan,0130e474ecb8231010471cfbe0ac87e2b02cbff19474,exclude,E1_no_residential_price,Nursing home prices,unknown,unknown,United States,0131aac84a927849409ac0f5ba740eac7a39290ffd92,exclude,E8_not_housing_market,Flood tolerance communities,unknown,unknown,United States,0132fb0d5855e8ce92c9651f0577dbbfe3e389dca5a2,exclude,E1_no_residential_price,House price elasticity of consumption,unknown,unknown,United States,113391a01d44979596486a075e9c0330702f066bad2e,exclude,E8_not_housing_market,Water infrastructure preferences,unknown,unknown,Nigeria,0134e985991d4e40b21b9c74f8df8ddeab960837c4df,exclude,E3_theory_method_only,Open space scenario simulation,unknown,unknown,unknown,0135549b234677608b26116a391a579e6b851f3ee0e0,exclude,E1_no_residential_price,Vacancy outcome,unknown,unknown,India,013633e424089e98f8f99e302d450172d08a5e46e7c6,unclear,UNCLEAR_other,"Heritage proximity vs property values, mixed methods; regression unclear",single_family,transaction,Nigeria,0137822be0d61812a243b53a9d84a37c867313c2592b,exclude,E8_not_housing_market,COVID deaths disparities,unknown,unknown,United States,0138cc825e51b86019d46084d726b5f5cf6d60b46886,exclude,E5_not_empirical_regression,GIS correlation on 80 rental listings,unknown,unknown,Ukraine,01399a0f1d2535f2f74fa8c16810ba267063d9b5a2a1,include,ELIGIBLE_HEDONIC,XGBoost with SHAP house price estimation,unknown,unknown,unknown,1140766d53dbf6ae79a1ef460d6815ef54de34afa9bd,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Comparative nonlinear regression for housing price prediction,unknown,unknown,unknown,11411c55251aab21f05e129c3df0f39fa8213d3e2312,exclude,E3_theory_method_only,Cloud analytics portfolio discussion,unknown,unknown,unknown,0142be08a9b25b3a0c744a88854ef2a7e57cae0bab79,exclude,E5_not_empirical_regression,Investment feasibility study,unknown,unknown,Indonesia,0143e86f8af42fdcba9f3f54268e3e760a47df0a8020,exclude,E2_no_characteristics,Macro indicators and affordability,unknown,unknown,Poland,01442cb83e1bd5ce1628e0f9740f8d44c84151dfe224,exclude,E3_theory_method_only,Book introduction,unknown,unknown,unknown,0145b44b9bfe7022079272b30265c977affe0a9faa60,include,ELIGIBLE_ML_PREDICTIVE_ONLY,POI-XGBoost second-hand housing price prediction Nanjing,condo_apartment,listing,China,1146c6cba6244d71ef3d5bbaa6b2814779c96ce3eb2f,exclude,E8_not_housing_market,COVID risk prediction,unknown,unknown,China,0147b7aeb8efe0485a234f2b131616c6f5ffb1494217,exclude,E2_no_characteristics,Macro housing market modelling,unknown,unknown,Croatia,0148dd6beb02684c433521263144a3f91a770f8d6460,exclude,E5_not_empirical_regression,Valuer questionnaire survey,unknown,unknown,Nigeria,0149564f09b28ddd5edad81b7845a3d2ff0db444e6bb,exclude,E8_not_housing_market,Ride-hailing demand,unknown,unknown,China,015078293c6915e7d64f019e50782d42b7d6526a9b05,exclude,E2_no_characteristics,Comparative policy descriptive,unknown,unknown,unknown,0151a75a7a1c1802a287533c34a3a85a164d018e345c,exclude,E8_not_housing_market,Informal settlement quality of life,unknown,unknown,Pakistan,01527237fefb29db85ecf2a905665032eccfde186623,exclude,E1_no_residential_price,Property tax avoidance,unknown,unknown,South Korea,015352bf45fa67dde97d9d0a9f6dad5cf3b2020a646d,exclude,E2_no_characteristics,Housing cycles and policy,unknown,unknown,unknown,0154b14a23a70a3b5c6eac4700bddc5b8c22fdbf7b77,exclude,E5_not_empirical_regression,Questionnaire Spearman correlation,unknown,unknown,Nigeria,0155631d8eb3d5d60934f2ed671d97ac3cf9f363ed89,exclude,E1_no_residential_price,Industrial land supply,unknown,unknown,China,0156d2dab7d26dfdfc69549a0ff7cdc6db7f60d0a708,exclude,E8_not_housing_market,Water pricing,unknown,unknown,India,0157a9f23b99fd5ad5ed8cba26b0ebb2bdf1154ce6f0,exclude,E1_no_residential_price,"Listing language signals, not price regression",unknown,unknown,unknown,015834556515f99aab69038b49d0e1b14ce6da6c4e5a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Ensemble ML comparison US housing data,unknown,unknown,United States,115940696b19cda58c998a6d8cb8611fc04b2b3fdafb,exclude,E8_not_housing_market,Employment surfaces,unknown,unknown,China,016097c242d2fce279611b4776acadd9ff169de1befa,exclude,E2_no_characteristics,National housing prices and inequality,unknown,unknown,Canada,016142b0b18de6fa311ac928b03dedc463405a243939,exclude,E2_no_characteristics,OECD panel long-run house prices,unknown,unknown,Japan,0162ebce56f2f9fc847f71c375be5636f32324e9d70f,exclude,E8_not_housing_market,Financial cycle banking,unknown,unknown,Spain,0163bca36ad0747de469e8bb538c8621a62a24a022ea,exclude,E8_not_housing_market,Spatial justice evaluation model,unknown,unknown,China,01645c6c6c1c7ec2a9a18281a51f49f5793e21e311d6,exclude,E5_not_empirical_regression,Qualitative heritage value analysis,unknown,unknown,Australia,0165bdd578e2165920c852d058690325121aa82085e2,exclude,E5_not_empirical_regression,Stated-preference choice experiment,unknown,unknown,United States,01665cebf4171ab33d78f1774e47b906013d8103d51a,include,ELIGIBLE_HEDONIC,Multimodal XGBoost+CNN with SHAP house prices (Kaggle),unknown,unknown,unknown,116728a1a5e1453616b480e490c1e1966efca65fe728,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Feature selection ML on Boston housing benchmark (tract-level),unknown,unknown,United States,1168eb6bf8aac98782b4dbe80f6888489132e66ab178,exclude,E2_no_characteristics,Aggregate price vs mortgage rate hysteresis,unknown,unknown,Czech Republic,016969a8fbb019943e92b1b955ab1de471d61c0df722,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML rental price category classification from listings,rental,rent,unknown,1170380c00383a8cf6a8ad7b7af8fc0f85ef8cb201f2,exclude,E1_no_residential_price,Mortgage default rates,unknown,unknown,United States,017115eca45627453423a3daa18b7f5d2ed5719c38fd,exclude,E8_not_housing_market,Heat emergency calls,unknown,unknown,United States,0172dc6a4f43b241e5586e24d60cb83395488b720fe6,exclude,E8_not_housing_market,Native plant landscaping,unknown,unknown,United States,0173c8d19cadc0b76c6c28e23e2c7b984195f9a9208c,exclude,E8_not_housing_market,Subway ridership,unknown,unknown,China,017450a1f55d2f9a3b9c0eaac60af67cf52a9bd67f80,include,ELIGIBLE_HEDONIC,"BRT corridor effect on sold residential property values, Fresno",single_family,transaction,United States,11750f0a978a642f206a007b1a44aa36b3ff13fd2f6e,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"Clustering + classification of housing price categories, 490 properties",single_family,listing,Indonesia,11761fe15b0ce7fbbe848e0c0608b201118fe03f221c,exclude,E8_not_housing_market,Traffic prediction survey,unknown,unknown,unknown,017741ee521d3a2efa4da8a2cd264274156d613ba701,include,ELIGIBLE_HEDONIC,GWR/quantile regression of rents on university proximity and attributes,rental,rent,Tanzania,0178ce1d044d0a0f93dad5321069c70f02f316b07dfa,unclear,UNCLEAR_other,"80,000 apartment ads aggregated to districts; transport accessibility regression on average price",condo_apartment,listing,Russia,0179ea0eef073c11f96a51de2a6a9aff888673ce698a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Hybrid multi-stage multimodal price prediction,unknown,unknown,unknown,1180be4e0de511d9810ff119e486834bdc97d88450b9,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Full-stack ML/DL rental price prediction,rental,rent,unknown,1181286e95d18098223d6d48fd8260b3d0b03ce9756f,exclude,E8_not_housing_market,Transport zoning route network,unknown,unknown,Russia,01828e66994dede6511d39d572055c3b5b729b31c4da,exclude,E2_no_characteristics,"Area-level service accessibility vs housing valuations, XGBoost-SHAP",unknown,unknown,China,1183bd313cbce779d7e26af2478147c7f26c075326e3,exclude,E8_not_housing_market,Green equity street view,unknown,unknown,China,018429e553097fe8638acf3e56fabbe8139a43d6404b,exclude,E3_theory_method_only,Philosophical essay,unknown,unknown,unknown,01856f76b4e5e14509c5253760c0b2f476b839484d05,exclude,E2_no_characteristics,Neighbourhood-level price-rent correlation,unknown,unknown,Ukraine,0186810ae02c263238d492017c9a7c15cbe61c74a161,include,ELIGIBLE_HEDONIC,"Bus stop consolidation impacts on housing market, spatiotemporal",mixed,transaction,United States,0187968367a698556aa03981aea9a998930e1d43b718,exclude,E2_no_characteristics,EU panel real house prices macro,unknown,unknown,unknown,0188878545101c3757f9256009596fb69ad07d1e092a,exclude,E2_no_characteristics,Provincial house prices and GEPU,unknown,unknown,China,01895b7e70820e3d6ce581231f4e596e0f8583216d6a,unclear,UNCLEAR_other,"Survey of 277 tenants, regression of rent on housing condition",rental,rent,Nigeria,01909f95edfd65bd72e9bb2829089b03d5a0ba9a0c20,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Divided regression prediction on KC house sales,single_family,transaction,United States,119140f3b311a8a0e71352aac0bbda6a2c6c83ec031b,exclude,E8_not_housing_market,Qualitative school zones,unknown,unknown,New Zealand,0192958371c2e96c95c6708f12de92e6e76e51e9be17,exclude,E8_not_housing_market,Air pollution governance review,unknown,unknown,China,01935b2f7e7da4b6e4b5a804a95a6c3de9cfc6828708,exclude,E3_theory_method_only,Quantile regression methodology,unknown,unknown,unknown,0194be216a16ed3a8980c48ec3727e561aeb34cfac34,exclude,E8_not_housing_market,Body weight protocol,unknown,unknown,United States,019584c3805a5b569aeb02802b8252f2de6668db13f6,exclude,E8_not_housing_market,Urban deterioration resilience,unknown,unknown,Iran,0196de71cc438506648df71d9ff158ceb4ada4551f08,exclude,E8_not_housing_market,Urban farms,unknown,unknown,United States,019791b36fd1b521ce5e6b2054e44543870e864797ca,exclude,E2_no_characteristics,"320 neighbourhoods, vague AI premium claims",unknown,unknown,unknown,11988392a5c77de21a6f7d3fc479d14609916a0ee42e,include,ELIGIBLE_HEDONIC,"Linear regression of house prices on land/building area, rooms, distance",single_family,listing,Indonesia,01995e3b8a386e25f44ebeb784f277ba8f9a886c4581,exclude,E5_not_empirical_regression,"COPRAS expert-weight valuation, no regression",unknown,unknown,Estonia,0200b4f2581ecafbb85d23f7610cc6131c2a102c92b1,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Seven ML models for Astana real estate prices,condo_apartment,listing,Kazakhstan,1201b70b4d4f07ced932c47b60d27ebb2d05f787eafc,exclude,E8_not_housing_market,PPP financing crime spillover,unknown,unknown,United Kingdom,020236eac2e74fd054fe7faa7ad4134c3aa524d5616d,include,ELIGIBLE_HEDONIC,Mass appraisal with global and local spatial regression for IPTU,mixed,appraisal,Brazil,020328bfe3b84e38fcfa8559d7a920b188a51b042630,exclude,E1_no_residential_price,Homeownership decisions,unknown,unknown,Malaysia,0204a488a5addaf7ba6973c76b5e81d8c6efeb4e0dfe,exclude,E8_not_housing_market,Mammography screening,unknown,unknown,United States,02054b369244d2927a31600a5733c54206c65d0a4272,include,ELIGIBLE_HEDONIC,Statistical determinants of residential property values from market dataset,mixed,listing,Ukraine,02065c2823f9fb79358e2fe37f19edf6c7208258f5ef,exclude,E8_not_housing_market,Adolescent financial hardship,unknown,unknown,unknown,0207db8b134c8df80df1a57308206c758f51d16e2f9a,include,ELIGIBLE_HEDONIC,Green space exposure index vs second-hand prices across 3729 communities,condo_apartment,listing,China,0208ac526a1cb34b0a3c196ebeea38fdaa4f186c0fa3,exclude,E8_not_housing_market,Blood lead levels,unknown,unknown,United States,02096c6fddeb9ee0e77036b53767483c42df84105b25,include,ELIGIBLE_HEDONIC,"XGBoost-SHAP property prices with flood risk, 31,730 properties",mixed,listing,Indonesia,1210fa23395427b469513996ab97c81787c3c45253ea,exclude,E2_no_characteristics,Panel herd behaviour national prices,unknown,unknown,unknown,02113a671c8d04faeeed58d973840cccffbb6935a04b,include,ELIGIBLE_HEDONIC,Explainable ML NYC transaction prices with crime and spatial features,mixed,transaction,United States,1212fff8ff2c2b6b74b00fbc6d1895b66c9a5303bbba,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML framework on Irish Property Price Register 736k transactions,mixed,transaction,Ireland,12138c36a3ed30080aced7b120ff6db4bb921488c392,exclude,E2_no_characteristics,City time-series determinants,unknown,unknown,Iran,02149a2f3492f920b802a67096a527084262c30ee130,exclude,E8_not_housing_market,Linguistic analysis of listings,unknown,unknown,Canada,02153e8e59a2f4d09f7e08345cc75f9b15ef6aa22cde,unclear,UNCLEAR_other,iBuyer fairness Bayesian hierarchical on 50k transactions; price-characteristic model unclear,single_family,transaction,United States,12167aab2b9fc7f33002300442495874543f58b04798,exclude,E8_not_housing_market,Life insurance demand,unknown,unknown,Iran,0217e68c3f01b1fb04776197ee91103adc0033e33cc3,exclude,E8_not_housing_market,Malaria deforestation,unknown,unknown,Brazil,0218b5b83085c50826574232a8ab7ecdfbd6928feb14,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Hybrid econometric-ML XAI valuation; commercial Azerbaijan + residential UCI benchmark,unknown,transaction,Azerbaijan,12192751361471b2ad9cbe3a30c20986bd86475b8e82,exclude,E1_no_residential_price,Home ownership challenges survey,unknown,unknown,Malaysia,022017551476e7e992da557becfd862af426ffb7e58e,include,ELIGIBLE_HEDONIC,"Determinants of luxury condominium market value, unit attributes",condo_apartment,unknown,Indonesia,0221e10a51c0af5621a45541cc721eb7399865b8f1d3,include,ELIGIBLE_ML_PREDICTIVE_ONLY,AI-based real estate price prediction,unknown,unknown,unknown,12222bbb324b94bc32bc38f14c86592b874cffef7e05,exclude,E8_not_housing_market,Linear utility estimation algorithms,unknown,unknown,unknown,022325a865c04021f148474133b95e1a63a3fe653fb6,exclude,E5_not_empirical_regression,Housing typology overview,unknown,unknown,China,02247541686fd00684b09d60f7969d7f158cec11c9f1,exclude,E1_no_residential_price,Homeownership duration outcome,unknown,unknown,Poland,022559ccd188a58010d138a76e36cae65ffbd79a4645,unclear,UNCLEAR_other,Survey of rents paid vs distance to dumpsites; regression unclear,rental,rent,Nigeria,0226ed272879113dac24babaa4a9d01b919f86e8e306,exclude,E8_not_housing_market,Coastal space vitality,unknown,unknown,China,02278506f16b0710a57ed835f9583338b207fd204258,include,ELIGIBLE_HEDONIC,"MLR of Tianjin transaction prices on area, age, location, facilities",condo_apartment,transaction,China,0228b9ed7778be4b40dc1ed23274c0b06225e885cf9a,exclude,E1_no_residential_price,Investment performance survey,unknown,unknown,Kenya,022985d7c2812036f9f54351dee08df7c5f83d99e95c,include,ELIGIBLE_ML_PREDICTIVE_ONLY,PCA regression on California housing data (block-group benchmark),unknown,unknown,United States,1230ac1fc670836c8610387893b256bd209434ab0888,exclude,E8_not_housing_market,Commuting distance,unknown,unknown,China,02314592c7bd67fa7f80c2d69a6fec05ac128341bd51,exclude,E8_not_housing_market,Data warehouse design,unknown,unknown,unknown,0232bcb4a81cfb3346fbef5e4a41bf9da4b7e2a194f6,exclude,E8_not_housing_market,Macro investments,unknown,unknown,North Macedonia,02336af3b3b3f630242eb4c08960c861a2d05b037c36,exclude,E8_not_housing_market,Biodiversity development risk,unknown,unknown,United States,0234fe31ab90da398df50bc88eea94fb13f899b7e72a,exclude,E2_no_characteristics,District-level price spillovers,unknown,unknown,South Korea,02354e18956d31dcf155e6fa8f6389b91b5b4f1dccb7,exclude,E8_not_housing_market,Flood damage prediction,unknown,unknown,United States,0236b4f063d53db959943350a92e7a396b3c45e9ff52,exclude,E8_not_housing_market,Mixed land use implications,unknown,unknown,Zambia,0237b0a5cae569ea21d6cd21a1263c8f83122a4a2f7d,exclude,E8_not_housing_market,Household debt burden,unknown,unknown,Russia,02385d4b4fb9b781f260dcefa056615c743aa5ec64f3,include,ELIGIBLE_HEDONIC,MRT station proximity and residential property prices SBK line,mixed,transaction,Malaysia,023902b3454d86261e8d989b5a85e19665d487fcbb27,exclude,E8_not_housing_market,COVID severity urban factors,unknown,unknown,China,0240419c959257365dddfb728bdf6a1a6424fc0a6b8f,include,ELIGIBLE_HEDONIC,"XGBoost/RF with SHAP residential prices, land use and transport, two cities",mixed,transaction,unknown,124149c7b158b15556bd5a94afc3bb71b338f842a385,exclude,E5_not_empirical_regression,Property tax fairness simulation,unknown,unknown,Israel,0242f1cf8db37dda24236d217ca77c2df7d64124221d,include,ELIGIBLE_HEDONIC,"Interpretable linear regression with feature engineering, King County",single_family,transaction,United States,0243507d23d428115f097a78874790a633410e1a8376,exclude,E8_not_housing_market,Electricity demand elasticity,unknown,unknown,Russia,0244f58dd3af44682887e3406f87babc6680cacdc854,exclude,E5_not_empirical_regression,Heuristic inspection-based pricing of 19 apartments,unknown,unknown,Brazil,1245f967745d6170767bb9697ec985dd4f2b299f9376,include,ELIGIBLE_ML_PREDICTIVE_ONLY,RF/BR/LASSO residential price prediction across Lagos sub-markets,mixed,listing,Nigeria,124633e960fa7306c2392c38aedb2caccbdb60515e48,exclude,E8_not_housing_market,Air pollution exposure of schoolchildren,unknown,unknown,China,02475a7aed55a0752c0e4f1732ed0d701ce57b9fe920,exclude,E3_theory_method_only,Conceptual hedonic cost approach,unknown,unknown,Malaysia,02486f5b9f30a27775af73db7d738f3e6e73c1d1580b,exclude,E2_no_characteristics,Affordability and labour mobility,unknown,unknown,Vietnam,0249e1b5d8c3eb36545b5b00e3e3fcf509be5dbe963a,exclude,E8_not_housing_market,Adaptive reuse of schools,unknown,unknown,United States,025009accb37ce495410d2dd2e40ea0893f90fb01fba,exclude,E8_not_housing_market,Tobacco outlets,unknown,unknown,United Kingdom,02516c279ae50bac4449574b3746ae8f16ea9bedc1a5,exclude,E8_not_housing_market,Airbnb nightly price prediction,unknown,unknown,United Kingdom,1252ba50780b6392394b1c447f0f41a74dda6abb3b88,include,ELIGIBLE_HEDONIC,"Spatial regression mass appraisal of coastal apartments, Maceio",condo_apartment,listing,Brazil,025309c70e20c7c41d52ab52245bc7d7f39503bdb0bc,unclear,UNCLEAR_other,ML model on house prices used to derive community vitality index,unknown,unknown,unknown,1254dcd506a60259294d7d1b18cca84d967185ce8fdd,exclude,E3_theory_method_only,Microeconomics of architecture essay,unknown,unknown,unknown,0255fc1b624cf4cfc4248359196532e8dc67accfcb49,exclude,E2_no_characteristics,Bubble detection ratios and regressions,unknown,unknown,Ukraine,0256da8cf0d2771a198804b8bef00a3bc974754eb2bc,exclude,E3_theory_method_only,GWNN deep learning methodology,unknown,unknown,unknown,0257cb9451bb712c3adbfc190c8db2f506f76537301e,exclude,E8_not_housing_market,Quantum portfolio optimization,unknown,unknown,unknown,025843d121b4410960feedce4d0579aa8ee6bf77f969,exclude,E1_no_residential_price,AVM vs appraisal bias in refinance,unknown,unknown,United States,025985fb1a06b4006059894dfe51ba27a533ea0850c6,exclude,E2_no_characteristics,Macro factors secondary market prices,unknown,unknown,Poland,026043213ea4769e075ceaab2482694da722a4fa3add,exclude,E5_not_empirical_regression,Thought experiment endowment effect,unknown,unknown,unknown,02612585171f1a3eac48a288163697f96281a8092ff7,exclude,E8_not_housing_market,Commuting flows,unknown,unknown,China,0262b5543eaefe32a17ef6150e3eaee490f42fa6dc25,exclude,E1_no_residential_price,State-owned lodging room rent prediction,unknown,unknown,Indonesia,1263a9ab945c4e2ef5b6c53aa86a563efa728e5b5ebe,exclude,E8_not_housing_market,Immigrant settlement income,unknown,unknown,unknown,0264f740dd5a078a391303d16f4c8301b1a84253c99d,exclude,E4_review_or_meta,Review of regression/regularisation methods for housing prices,unknown,unknown,unknown,12654fba9d511c20aeea41634c720d5d167185e2590c,exclude,E8_not_housing_market,Residential ornamentation,unknown,unknown,unknown,0266005bd1896feb17019771cd5721b4ce254162019f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Supervised ML valuation of Nairobi residentials 2009-2024,mixed,unknown,Kenya,1267ed537a6a82930e5844cd657f4218d82c34c502bf,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Bayesian-optimised XGBoost on regional average house prices (benchmark data),unknown,unknown,unknown,12687e7dbe863611949eb743f3642a656e8d65103218,exclude,E8_not_housing_market,Affordable housing policy case,unknown,unknown,United States,026980536004af08c987cfaa78c1c53fda96cafab4e3,exclude,E2_no_characteristics,ARIMA city-level housing price forecasting,unknown,unknown,China,12707d58335e698835ed8664becc2d809591dcf87634,exclude,E8_not_housing_market,Financial cycles,unknown,unknown,unknown,0271b72781aed2cf6317bb1f29020627545b870f8605,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML rental price prediction on Italian rental dataset,rental,rent,Italy,1272d48660307d71d7c7229f6907c01df2b31ff67be6,exclude,E2_no_characteristics,City macro determinants Chengdu,unknown,unknown,China,0273e1eb5b8de2095cc61265f79d90a2976b58a67664,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"DT/RF on 34,000 Bristol PPD transactions with crime rates",mixed,transaction,United Kingdom,12742b0c246599edab8527ee37110e0c2856c6e8bc7a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML Melbourne housing prices on property attributes,mixed,transaction,Australia,12752ff1cc364240166b028fc5361498fbd2d8b3ac28,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"Tree ensembles on 9,539 Lahore listings",mixed,listing,Pakistan,1276439b77617ca394cffcd8ffe88c31aba83fc51d3b,exclude,E8_not_housing_market,Small town external relations,unknown,unknown,China,027777d50f4073bf17848214c21c7e7821574a67783c,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML Australian house prices on features,single_family,transaction,Australia,1278d87a7fa0cf1ac256dfdf41ea2dfab1378b1633b7,exclude,E5_not_empirical_regression,Investment decision survey,unknown,unknown,Nigeria,027984f9425c554ff8adf4736887984b947819d27ea6,exclude,E2_no_characteristics,Macro PLS-SEM market evolution,unknown,unknown,Romania,02805bf64415c2a1c1d6d8f623b2f4511938d549d5e4,include,ELIGIBLE_ML_PREDICTIVE_ONLY,MLR/RF/DT on scraped NTB listings,single_family,listing,Indonesia,1281bebffedf4a4f34aeb7767230b9c7e6f615cda720,exclude,E2_no_characteristics,Area-level rent gradient test of SUM,unknown,unknown,United Kingdom,028260baaaab9e349694711826de7788e8ea4b27978d,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML housing predictions without live data,unknown,unknown,United States,12832c3ee0993ca658d314dfdffe2e1fdd1581e41a3e,exclude,E1_no_residential_price,Subsidized housing demand,unknown,unknown,Indonesia,0284d7d39b99e1ff6e58e3528204c9cd64ee6903e452,exclude,E2_no_characteristics,Suburb-level regression of prices on Airbnb activity,unknown,unknown,Australia,0285e8fc0639c10125b90362c5f5efd1e372d6b25fd8,include,ELIGIBLE_HEDONIC,"MLR of property values on revitalization dummy and distances, 120 points",mixed,appraisal,Indonesia,02869e93998e6ce89570566d507bbe4716c34d1b5301,exclude,E4_review_or_meta,Global review transit and property values,unknown,unknown,unknown,02878d729ce10d345ad1bd79a88638ccb4bd594090ea,exclude,E3_theory_method_only,Conformal prediction methodology,unknown,unknown,unknown,02884091cc14f8aecac9350d12dc4c94d223d6385fd6,exclude,E8_not_housing_market,Gas explosion risk,unknown,unknown,Nigeria,028930d6d58a31ee1e77a1ad6bfdde1c298421cef866,exclude,E8_not_housing_market,Neighbourhood greenness,unknown,unknown,South Korea,0290ae50a3ce2963341c6d8be4416d87393789ad47c1,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Regression models on Boston MEDV benchmark (tract-level),unknown,unknown,United States,12915c5212d081e145c5fadf1b5671e2d2595429c919,exclude,E2_no_characteristics,Macro effects of price fluctuations,unknown,unknown,United States,02929b9ecbeb8eddb13aaf5cfcc70cd2f036768b1f21,include,ELIGIBLE_HEDONIC,"GAM of rental rates on physical characteristics with spatial effects, Bogota",mixed,rent,Colombia,0293821f5925da69a8ceb8db09953f76b732358215a3,include,ELIGIBLE_HEDONIC,"Maradona mural externality on residential market values, Spanish Quarter",condo_apartment,listing,Italy,02949ee9b14c4df3a57a922c3b2bf54fca6165300bc6,exclude,E2_no_characteristics,EU house price cycles macro,unknown,unknown,unknown,02952230c2f1fd867adfd695333dd9cf8c4a827c4ce2,exclude,E4_review_or_meta,Reprint compilation of special issue,unknown,unknown,unknown,0296fdd6c712b38a9bc5fced99d78fa8b071d1d14e75,exclude,E5_not_empirical_regression,Resident satisfaction common area management,unknown,unknown,Sri Lanka,029754776f85a695ece2a2db9c949e25e73897fa9485,exclude,E3_theory_method_only,Regularisation simulation; California benchmark validation only,unknown,unknown,United States,1298f8429402a854824d8588eb3b12f1f88d4cd2f94f,exclude,E2_no_characteristics,Inflation hedge asset returns,unknown,unknown,India,029963c9a382e4cc7217ffccc3e103bf39793d8cd62e,exclude,E5_not_empirical_regression,Book review,unknown,unknown,unknown,0300d84d94c36bcf79ab29cc69177849e3b0f53ec5ac,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Regression model comparison Bandung property prices,single_family,listing,Indonesia,1301e8ba610649b3c8fb157685ea48daaa022295edf6,exclude,E3_theory_method_only,DL optimizer comparison using Boston data as carrier,unknown,unknown,United States,1302f1f0d3a4671db42dea5d9c7857013733da29881d,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Data-driven property valuation Taiwan,mixed,unknown,Taiwan,1303d436e3a1b30f49b512bb65b77936bd0dcd943388,include,ELIGIBLE_ML_PREDICTIVE_ONLY,GIS forest-based ML residential price estimation Chon Buri,mixed,unknown,Thailand,1304329258cc685812b876c11a76ec856edabbf485ca,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML regression model for house prices,unknown,unknown,unknown,1305ac95b6e1009ce1d13d77855e1e6f783e4ee924e7,exclude,E1_no_residential_price,Fertility outcome,unknown,unknown,China,030625bbac9ea7797b2fb56ffd521bfbc2203cea2540,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML algorithms for new housing prices Changsha,condo_apartment,listing,China,13073c81e7dc6f6a0c16d4c0960e1a6e3620f9a93a76,exclude,E5_not_empirical_regression,Valuer questionnaire volatility determinants,unknown,unknown,Nigeria,03088b49de98072903d72495214521e44306ccf98ebd,unclear,UNCLEAR_other,Event study cafes vs house prices; aggregation level unclear,unknown,unknown,United States,03093f0e74a8cee961733ed1ebcdf19705aee98137f9,exclude,E2_no_characteristics,Satellite-derived property value index estimation,unknown,unknown,unknown,131074d4f131b6ad2422b51ed7cf88bf2cd59da98bec,exclude,E2_no_characteristics,Intercity price spillover network,unknown,unknown,China,03118f8eedeb456cab4a0678ca7dd126b9bc1e2942d5,exclude,E2_no_characteristics,Macro time series,unknown,unknown,Malaysia,0312d111b2e40e4222ef43f07bd4749ef24dd9d0c1d0,include,ELIGIBLE_HEDONIC,"Park capitalization into property values, Chicago 606",mixed,transaction,United States,03134e0d23fed68dafc3900a26993e6079a826b0beec,exclude,E4_review_or_meta,Bibliometric review centrality indicators,unknown,unknown,unknown,0314aa22e7ab448ac7e9d883345a8727b546b71652b8,include,ELIGIBLE_HEDONIC,Landscape elements and property value formation in residential complexes,condo_apartment,transaction,South Korea,0315c27bb162a21e02e24af6ca45e7eacffb91547138,include,ELIGIBLE_HEDONIC,MLR house price estimation on location and area,single_family,listing,Indonesia,03169499528ec92cc12ee81cf3bc35e3006d72001be4,exclude,E4_review_or_meta,Systematic review ML house price,unknown,unknown,unknown,13174fa0e3f6df7de77c0eda332cc9c406d53dcde32f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Random Forest with feature selection for house prices,unknown,unknown,unknown,131848e2f0585e181a915613f0662c44f24ce334187b,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR/RF/GB house price prediction,unknown,unknown,unknown,13195f7941e93f4ba1777a496de0a2ed6426cc00c903,exclude,E1_no_residential_price,Homeownership readiness survey,unknown,unknown,Malaysia,0320583c5256c1682e2ee29b90edfab6fc1e2a41e32c,exclude,E4_review_or_meta,Systematic review of spatial price variation,unknown,unknown,Russia,03212a18cecd245593dfe8060041a9e3ab58f814a184,exclude,E5_not_empirical_regression,Purchase decision survey,unknown,unknown,Malaysia,0322d922b923f6add38ad1d815fe471e6103c379128a,include,ELIGIBLE_HEDONIC,"STGCN + XAI + GWR on 217,598 Busan apartment transactions",condo_apartment,transaction,South Korea,132363870974b1c2c2d5022574752da6ac2e80a6b5c8,exclude,E2_no_characteristics,Urban development prospects aggregate,unknown,unknown,China,13246fc4753d2ddfac2a7ebab8eae416c140b8061a1f,exclude,E8_not_housing_market,Informal commercial spaces,unknown,unknown,China,032579ee0e1e6de51b2bdeb2361d43b3dc9dfaac577f,exclude,E8_not_housing_market,Birth rate,unknown,unknown,China,03268816310ac987663357cb1f56d65de89adc937ff6,exclude,E8_not_housing_market,Fertility subsidies,unknown,unknown,Taiwan,0327c8de299007bc939aa48777d41102a6e31563bce3,exclude,E8_not_housing_market,Banking regulation,unknown,unknown,unknown,0328ceadd302511bfdcbeebb266937f5d9e55078c990,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML with sampling techniques for residential sale prices,unknown,transaction,unknown,1329316120d10b70732213f35397c4e8fddab26c55f6,exclude,E2_no_characteristics,Inflation and prices time series,unknown,unknown,Czech Republic,0330592f93b86b5d6e73799d6fe7241aa3c6b6eb5cdc,exclude,E2_no_characteristics,Interest rates macro,unknown,unknown,Pakistan,0331cf83506af1bc3041e26fec98e23b8ad885860f69,exclude,E8_not_housing_market,Real estate stock price prediction,unknown,unknown,China,1332670c60f27b11c7d86ea3f794dd5bd42b87888e9b,exclude,E5_not_empirical_regression,Affordability survey,unknown,unknown,Malaysia,0333ee55a4ae3dba2687de3e4885176c2db671a51fee,exclude,E2_no_characteristics,Interest rate transmission macro,unknown,unknown,China,0334b0ea2895141bef0f68a4118ea68d02a4fc27bce6,exclude,E2_no_characteristics,Regional ripple effect STR,unknown,unknown,Taiwan,0335602584c64cbc827c89094115fa518259ed05af26,exclude,E5_not_empirical_regression,Descriptive questionnaire rental values,unknown,unknown,Nigeria,0336b016358b1d6d1b0e28b14a1bab3abd3080ab8933,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Backpropagation NN for student boarding room rents,rental,rent,Indonesia,1337533b1bf0696280d56d4907f5cb4687bca72d5889,exclude,E1_no_residential_price,Marriage rates outcome,unknown,unknown,unknown,0338b88b256df73c60110f396557e880a3a3ea612baf,exclude,E3_theory_method_only,Regularisation overfitting methodology,unknown,unknown,unknown,0339cca9d50f45a2c765a71aba58cd8577afa3545042,exclude,E8_not_housing_market,Lawn fertilizer perceptions,unknown,unknown,United States,03402496df96e711af71e0ee891ef853f03e7e12bc6f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Stacked ensemble on Ames housing data,single_family,transaction,United States,1341f0af66f2c63cacb40d74ced6f2b5db6cc0067674,exclude,E8_not_housing_market,Talent mobility,unknown,unknown,China,0342c08f9b77b9a321bb9ac0d345e76a0d260a53dbf5,exclude,E4_review_or_meta,Integrative literature review property value determinants,unknown,unknown,Indonesia,03439ffffe0721c52b2ba25a802ac4f09ff4886bb22f,exclude,E1_no_residential_price,Processing trade crowding out,unknown,unknown,China,0344bfc188982bf9550c8a1189743a55de7f9cc1948e,exclude,E2_no_characteristics,Bubble threshold regression,unknown,unknown,Turkey,03455b5e2976379a85f5f812cb8768013d369656f0c3,exclude,E2_no_characteristics,BRICS macro panel,unknown,unknown,unknown,03469fc7f273148f53dfdadaf431a4a601086ec65656,include,ELIGIBLE_HEDONIC,"Housing prices on bus stops, hospitals, street access, Taiyuan",condo_apartment,unknown,China,03474346833a1ebd266fd76fc9820eb1c5c2addd6748,exclude,E8_not_housing_market,Nerve stimulator demographics,unknown,unknown,United States,0348a9391d84db81da6886df645e89d087203c33c309,include,ELIGIBLE_HEDONIC,Multilevel model of residential transactions near airports with multimodal access,mixed,transaction,unknown,03493b38c838e386ece3d532ae0dacb0719ea3e19efd,exclude,E1_no_residential_price,Residential land value distribution,unknown,unknown,Nigeria,0350ed99b37c7af3ace53f774ae8ae7a8a0c3470df05,exclude,E8_not_housing_market,Green view index outcome,unknown,unknown,China,0351f201b4fe78ca8bee03ebccb60167a51b1fe7f5d0,exclude,E4_review_or_meta,Review of house price regression prediction methods,unknown,unknown,China,13528df71f818af16b5ce055a4247e58d7652980bffb,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"Seven ML models on 13,933 Bolton transactions",mixed,transaction,United Kingdom,1353759847f2564665b7b3cb3d4850594bd12a1f9759,exclude,E3_theory_method_only,Journal introduction,unknown,unknown,unknown,035490373a6e92b60a58ff91517033ea0a101729345b,exclude,E1_no_residential_price,Equity release mortgages,unknown,unknown,United Kingdom,0355f4b430fcdfa0fbfbd31927f00f573185ada8d92a,exclude,E8_not_housing_market,Maintenance fund revenue,unknown,unknown,China,0356f7b72366e648e4477be61d38a2eab9263211f43a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML selling price predictor project,unknown,transaction,unknown,1357475749267b1a9e1b1a237153939e2077d6cbbb7b,exclude,E8_not_housing_market,EV charging utilization,unknown,unknown,China,03583fb09abb92f29e4cd3cd190b8cba4423417bb9f0,exclude,E8_not_housing_market,Neighborhood livability,unknown,unknown,United States,0359855b11a877501420b04b4cbea1c2aa69d7f41c35,exclude,E5_not_empirical_regression,Contractor survey landscape,unknown,unknown,Turkey,0360978f9121061a15392bd14d6b0dab647085c86b41,exclude,E8_not_housing_market,Internal migration boroughs,unknown,unknown,United Kingdom,0361721444f5149e0a7acb0af49f01833e82b405ae18,include,ELIGIBLE_HEDONIC,"Regression with fine-grid location dummies for property values, marginal effects",mixed,transaction,unknown,0362995bafb8146275783f886ceafdc03ff93dcaa4bd,exclude,E8_not_housing_market,Inflation and deposits,unknown,unknown,unknown,0363b1a372bfad6e8b9663c651a4111d1c4487c5da12,exclude,E8_not_housing_market,Climate vulnerability framework,unknown,unknown,unknown,0364d24d9bc96f77f2391589f95e444baa19bd7bea70,exclude,E1_no_residential_price,First-time homeownership transitions,unknown,unknown,Australia,03652e52b8120d504cddfa568dcf1f968646f2fe6dea,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR/DT/RF on Ames housing data,single_family,transaction,United States,136605df52818e23dcb4bcedaf3dde62b94b9112b483,exclude,E8_not_housing_market,Late-life mobility,unknown,unknown,Brazil,0367e06a8e55f9314e39810755069c2b422ccbe42087,exclude,E5_not_empirical_regression,Likert survey regression,unknown,unknown,Vietnam,0368285a73d537c17031d8625078e8935466f65472cc,include,ELIGIBLE_HEDONIC,Linear regression house price prediction on physical factors,single_family,listing,Indonesia,036925c8f3b6a6b05bd6d7d06e05e7be9b6fca8327c8,exclude,E2_no_characteristics,Supply-demand macro primary market,unknown,unknown,Russia,03702d1b4cdf96ecdad48544e9f6c5eecc46d0834b70,exclude,E2_no_characteristics,ARDL equilibrium prices Penang,unknown,unknown,Malaysia,0371f22377622bf5738294e171035bed6a58b5eb8373,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Optimised BP neural network house price prediction,unknown,unknown,unknown,1372ee55b5018946c3740b08987e6ce1cb0beb52cbd2,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"KNN vs RF on 7,609 Bandung property records",single_family,listing,Indonesia,1373871e09a43b07cddac0d3c99559043f1bd6c1a614,include,ELIGIBLE_HEDONIC,"RF with SHAP and LIME feature attribution, Ames data",single_family,transaction,United States,13743abde54bc49f35be9716074955139ab78a65a9bf,exclude,E1_no_residential_price,Strategic divorce and debt,unknown,unknown,Netherlands,0375f1763967be078080c87c32f4145271609164269e,exclude,E8_not_housing_market,Urban growth rail travel,unknown,unknown,India,0376424587ce711a8485255c13fb37972200bd20ca9a,include,ELIGIBLE_HEDONIC,"Milieu protection area designation effects on residential prices, Berlin",condo_apartment,transaction,Germany,0377723d07b0b27f1f233211f481a27fa22d2ea80030,exclude,E2_no_characteristics,City competitiveness and prices,unknown,unknown,China,037821a30395c73abf85ee06634a1732ff4a03f25e8e,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML/DL on 168k Pakistani property listings,mixed,listing,Pakistan,1379ced04cd119a87e17bcde34c03e72cb757a32fda1,exclude,E5_not_empirical_regression,Resident survey perceptions regression,unknown,unknown,Indonesia,038091097390bd6e3b4a1f3c6b1a1ad6d7ba687bb79a,exclude,E5_not_empirical_regression,Housing satisfaction IPA,unknown,unknown,South Korea,03819673a80ee471309f5c9590eb6d49ac41f23e3fb0,exclude,E2_no_characteristics,Housing demand partial adjustment,unknown,unknown,Indonesia,03823d2efe2a44db6b03a37ca2503734feff28fe676a,exclude,E3_theory_method_only,CAR model simulation study,unknown,unknown,unknown,038389064e14ca81778fe397c9a655a930b5be3c503d,exclude,E2_no_characteristics,Property price index vs assets,unknown,unknown,Indonesia,0384ba20c45aaae6b08ad9628c0fd3a3b1ee9357a8ce,include,ELIGIBLE_HEDONIC,"PCA + MLR + BP-NN of Beijing commodity house prices on facilities, transport, design",condo_apartment,unknown,China,1385fcd4a4c655a1f1430c2d0181ad348e4bf6aaf098,exclude,E1_no_residential_price,Mixed-use land prices,unknown,unknown,South Korea,0386f642a74030b00c2347a2ffb8325d1b7fa0c9913f,include,ELIGIBLE_HEDONIC,Linear regression and ML of Swedish asking prices on property variables,mixed,listing,Sweden,1387bcf8f764df95a216ad7246e32d3d7eee1a8ca3d1,exclude,E8_not_housing_market,Bus passenger residential location,unknown,unknown,China,0388b9e1d09ff13f801ef90f3cd15f899f008911b19e,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML house price prediction Lagos and Abuja,mixed,listing,Nigeria,138966d02c03404dfe9e1a87bd369745b6af2f6492d9,exclude,E8_not_housing_market,Housing cost burden health,unknown,unknown,China,0390f7abfd50f776482aa9f778c822c16c48373b848f,exclude,E8_not_housing_market,Urban vitality,unknown,unknown,China,03919994490f1de546d1e6bd44050988431feba1e676,exclude,E8_not_housing_market,Public real estate management DEA,unknown,unknown,Lithuania,0392de185a9af9fed3bd4c56a0f57812fc2cc38627ac,exclude,E5_not_empirical_regression,Respondent survey sales strategy,unknown,unknown,Indonesia,0393e01c12ae22ad2adc518256d512931744a73824dd,exclude,E5_not_empirical_regression,Questionnaire-based pricing determinants,unknown,unknown,Nigeria,03948f95d4fe9344071d712022566f4ea8d32672f838,exclude,E1_no_residential_price,Firm innovation outcome,unknown,unknown,China,039553dcbcedb8620855af45abe7362ca4af0fd5f86a,exclude,E2_no_characteristics,National policy impacts,unknown,unknown,China,0396f18d727f7ec59f17ff6f8de5a2eb2c8d1e7101b7,include,ELIGIBLE_ML_PREDICTIVE_ONLY,MIC-BiLSTM interpretable DL house price prediction,unknown,unknown,unknown,139763c98402bec1d98255a7046e0ebd29193c04cdd0,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Boston housing dataset regression analysis (tract-level benchmark),unknown,unknown,United States,1398ddffe6716da41b4374d9f4f04db231565547be91,exclude,E3_theory_method_only,Utility function housing policy model,unknown,unknown,China,0399f1b6476338f5019117373175ffd70bd559a040e9,exclude,E8_not_housing_market,Household credit risk,unknown,unknown,North Macedonia,0400c017f9b954a31390ec9e1cd94008a1e9615cbf38,include,ELIGIBLE_HEDONIC,"Excel multivariate regression on Kaggle real estate data (house age, distances)",unknown,transaction,Taiwan,0401cdc9c76812284f1b97fe8ca60d5f1c963bf029f9,exclude,E3_theory_method_only,Distributed ML techniques evaluation,unknown,unknown,unknown,14027c3a4bee2424ba8617a7df2d3a67edf0f6d5f73e,unclear,UNCLEAR_other,Metadata mismatch: LIHTC neighbourhood effects abstract under bibliography title,mixed,transaction,United States,0403d175482c6883af1ef2ade5665ad10f5bb8e70b6c,exclude,E8_not_housing_market,Islamic housing finance,unknown,unknown,Turkey,04043d4f46343401573ef97e4a1fc906db43635cfdac,exclude,E8_not_housing_market,Rural homestead improvement,unknown,unknown,China,0405bc3bcb61cf6790285b43f938ce70f6bb341202cf,exclude,E1_no_residential_price,Commercial land assessed prices,unknown,unknown,South Korea,0406ef7a5b7e886618eece6be16ddff155ae51bfbffc,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"RF and ridge housing price prediction with greening/property fees, two cities",condo_apartment,listing,China,1407f5d851aa205f9a3835454624d12f0b137883e616,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Gradient boosted trees on Norwegian sales and rental ads,mixed,listing,Norway,1408e78e1ed0381cfce6524686274bc5e28c10d62dd1,include,ELIGIBLE_HEDONIC,"Fixed-effects on granular MLS transactions with macro drivers, Shelby County",single_family,transaction,United States,0409799db8c3e5db1067f56df44451b9408775675af5,include,ELIGIBLE_ML_PREDICTIVE_ONLY,DL/ML on House Prices 2023 Pakistan dataset,mixed,listing,Pakistan,1410bebfbba6d38c6386c102ea6d55d923dbe0a94a2b,exclude,E5_not_empirical_regression,Property management survey rental stability,unknown,unknown,Nigeria,04118fc4cbe95b54c9a2454c4d572640c043dfe5a5b2,exclude,E8_not_housing_market,Prostate cancer mortality,unknown,unknown,United States,0412ef2cb3f293961452a8e01523d3c40623e3dc6956,exclude,E5_not_empirical_regression,Descriptive cadastral price development by area,unknown,unknown,Czech Republic,0413b10e6e847c3949f8dabb17251296f60b4b0531e7,exclude,E2_no_characteristics,Macro misleading prices,unknown,unknown,China,04146ddd2a78ed71117753ca02750caa06192f794918,include,ELIGIBLE_ML_PREDICTIVE_ONLY,California house price dataset + macro ML (block-group benchmark),unknown,unknown,United States,14152836909adcc1e08639e37f96317167fcfe0cc9be,include,ELIGIBLE_HEDONIC,MLR on urban second-hand housing transaction data,condo_apartment,transaction,China,0416f4296d6c1755260f9ddb8e27694234a0fb369991,exclude,E2_no_characteristics,"Neighbourhood-level listed prices vs accessibility, 816 neighbourhoods",unknown,unknown,Turkey,041775451ab63cef0589ed5990f732a3842cff0e0516,exclude,E8_not_housing_market,Sharing economy futures,unknown,unknown,unknown,0418a445cec2157f296de6977076ce989983a366537b,exclude,E8_not_housing_market,Mental health homeowners vs renters,unknown,unknown,United States,0419b89d88154c28d683f9430579bc5867448b380ea2,exclude,E2_no_characteristics,City-level price drivers,unknown,unknown,China,04207f9c6fa802316bb3ab2a8b38e15f25c33bfa3df7,exclude,E8_not_housing_market,IoT adoption,unknown,unknown,Indonesia,0421a62c916bb9855e16442c5e11e7fbe5462554a4c4,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ANN on Chennai housing sales data,mixed,transaction,India,1422ecb5a7e047ecc8eaecd0dbae9ebc62bf6d675388,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR and DT regressor for South Jakarta house prices,single_family,listing,Indonesia,142375b911d696c736bb0ab8781323efb3d1643ec743,include,ELIGIBLE_HEDONIC,Proximity to city hall and house prices using OLX listings,single_family,listing,Indonesia,04242f9f80e3d0f62119c82ff3c4b9067b54c0a6d8e7,exclude,E2_no_characteristics,Provincial panel quantile regression,unknown,unknown,China,0425964c651b1cccf2f8594e499d45e6cc3765f93aa6,exclude,E5_not_empirical_regression,Household survey of green space economic value,unknown,unknown,Tanzania,0426cf9f8418aa27028f4bf6b13e43509a10a8a67d26,exclude,E3_theory_method_only,Spatial grid data platform for valuation,unknown,unknown,Czech Republic,042783b73b12db5defc6adb808a0f172e71e1b653a22,exclude,E8_not_housing_market,Opportunity vs urban intensity,unknown,unknown,Philippines,0428df3b01049852298482773dcc72913d319ba7796d,exclude,E5_not_empirical_regression,Survey correlation chi-square road impact,unknown,unknown,Pakistan,0429dd785bf30fa4e655690ff985a8b4e95f050b6a93,include,ELIGIBLE_ML_PREDICTIVE_ONLY,RF with Optuna on House Price 2023 Kaggle dataset,mixed,listing,Pakistan,1430d811b6629dc28520a63cd5f26f8a571d4f4de886,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML housing price prediction Yogyakarta,single_family,listing,Indonesia,1431056678cc4f500b4e1c8725f9d8280ce0a5af2b64,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML property price forecasting system,unknown,unknown,unknown,1432dcebaba2290f2b160bba96f8383d76309062cdb3,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Linear regression ML house price prediction,unknown,unknown,unknown,143386c565ab964cee381f1e9eb28e73c1ff1dbd1728,include,ELIGIBLE_HEDONIC,"School capitalization into housing values, Stockholm",condo_apartment,transaction,Sweden,043430ee417f35fae286e354b8696a870dca54aee886,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Advanced regression techniques house price prediction,unknown,transaction,unknown,1435eb20d6eaa9f35ff701a1badb2aa1c88015de9c5d,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML house price estimation with property features,unknown,unknown,unknown,1436c7dbeff268cb294509ab735f32ca5aa11d5d1f84,exclude,E2_no_characteristics,City innovation vs affordability,unknown,unknown,China,043764b1bda38786678275a764034582ddd52712905b,exclude,E1_no_residential_price,Marriage rates outcome,unknown,unknown,China,043827a9730fb824550cf0026c2f99e01c0133473367,exclude,E5_not_empirical_regression,Delphi and occupant surveys,unknown,unknown,unknown,0439bcffab4fd928bac1e53a886d61e6bc54da1d9f01,exclude,E4_review_or_meta,Review of AI in valuation,unknown,unknown,unknown,14408e049f6a152545a8d92132eca7bb29eb25090558,exclude,E2_no_characteristics,Neighbourhood-level average rents IV regression,unknown,unknown,Turkey,0441d88066da23d0c5a23c8989816131abd4e4ebd915,exclude,E5_not_empirical_regression,Appraisal zoning overview,unknown,unknown,Russia,0442908cb1f7de6418955aafb03a45211fce8ae7cf06,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Deep learning neighbourhood-level house price prediction,unknown,unknown,United States,1443da88ef8e3cfc6b2448b50502622c009fefeb1578,include,ELIGIBLE_ML_PREDICTIVE_ONLY,PCA + RF fusion on Ames data,single_family,transaction,United States,1444f1023c931d10dcea94362fa5c5fcdcdec0916c51,include,ELIGIBLE_ML_PREDICTIVE_ONLY,R-based ML on Kaggle house price data,unknown,unknown,unknown,1445d06fc4aa383758554a6afa97931f1ea615750202,exclude,E5_not_empirical_regression,Developer questionnaire,unknown,unknown,Ghana,0446ce686a8609714c436a9dbe1ee091848ab891f6be,include,ELIGIBLE_HEDONIC,Log-linear regression of housing prices on kindergarten proximity,single_family,listing,Slovakia,0447a18940da89b0d3fb5b6f41be77978f744228c5a3,exclude,E2_no_characteristics,Monthly national HPI growth RF,unknown,unknown,United Kingdom,14489379a831b3b2f7db97097fae845b5170f9090a31,exclude,E6_duplicate_version,Duplicate of record 443 (Ghana questionnaire study),unknown,unknown,Ghana,0449a49c53108de47077ee7958e78c549b84f1972fde,exclude,E1_no_residential_price,Commercial rental value survey,unknown,unknown,Nigeria,045054acc71437b75348f43b0cba594fd0d879334b50,exclude,E2_no_characteristics,Municipality-level price direction forecasting,unknown,unknown,Philippines,1451738bf39f1bf0152f03044b4f2c8c39aaa0cac91f,unclear,UNCLEAR_other,"Golden visa thresholds: bunching + DiD on transaction prices, no characteristics stated",mixed,transaction,Greece,0452dfcdccec55fa476feaef6eaa9a2a79d1a9c3707d,exclude,E8_not_housing_market,Dangerous buildings legal framework,unknown,unknown,Greece,0453a362e342d478ec7efe873228840ed32d58bbfec9,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Hybrid ML framework real estate price prediction,unknown,unknown,unknown,1454f506aa6caa08e347b34a7d9e6e3046803e908d80,exclude,E8_not_housing_market,Brand marketing strategies,unknown,unknown,China,045570063f8826172165e64de3b8296be64bdb1442f0,exclude,E8_not_housing_market,Urban forestry borders,unknown,unknown,Russia,0456d442f211310c545ee19312ea6a87fa7e19e4a4ba,exclude,E2_no_characteristics,City-level talent policy and prices,unknown,unknown,China,0457c5e5700da734e69b04f37bcc3357c2eb0a0e803f,exclude,E2_no_characteristics,Provincial panel dependency ratio,unknown,unknown,China,04582d7f2324a3689374bb67d6fd0cfb8c1d11fabe1b,exclude,E2_no_characteristics,City-level haze and rents spatial panel,unknown,unknown,China,0459410a60cd8d3a1858b21795bf3732a4a69fedede5,include,ELIGIBLE_HEDONIC,"OLS vs GWR of housing prices on public resource determinants, Nanchang",condo_apartment,listing,China,0460ac7cd6338878838a6234c75c0deb65407aac5ea3,exclude,E5_not_empirical_regression,IDW interpolation of rents only,unknown,unknown,Nigeria,04612b3e74fe448bc6dd1ff3985b74450d6f8b5a6fe1,exclude,E5_not_empirical_regression,Residential preferences survey,unknown,unknown,South Korea,046233b3eac49485d60c8f642fb7471eed1bfe7c20f3,include,ELIGIBLE_HEDONIC,"Influencing factors of second-hand housing prices, Haidian",condo_apartment,listing,China,046357a52907519ba9ffcaec92bb4a656bdb885b4c64,include,ELIGIBLE_ML_PREDICTIVE_ONLY,NN vs regression on California housing data (block-group benchmark),unknown,unknown,United States,1464059e12f0ab02f0c00a98508d6916a002e1ac8409,exclude,E1_no_residential_price,Office rental prices,unknown,unknown,Indonesia,14657d203a85d6a6be41ddd39abf0b3e534049daf1dd,include,ELIGIBLE_HEDONIC,"Landfill closure announcement effects on housing market, Staten Island",single_family,transaction,United States,0466d0ff96d37e73ec095d1498279a0ecfe7f53ed3b3,include,ELIGIBLE_ML_PREDICTIVE_ONLY,AutoML with interpretability on King County data,single_family,transaction,United States,1467f21c80b2c9f4740843f3376a322452ea527a4fb9,exclude,E3_theory_method_only,Marxist framework urbanization and prices,unknown,unknown,China,04682ef944ce1f120aa4b5e2531d4a299827659dd9f1,exclude,E3_theory_method_only,Location embedding methodology,unknown,unknown,unknown,1469bcb8fc58a0bfe6444a3a192745687553d510518b,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR vs RF house price prediction system,single_family,listing,Indonesia,1470c775f7c2ce1f69bfc07e7dd798cbc84d0b955971,exclude,E3_theory_method_only,Essay on time and house prices,unknown,unknown,unknown,04714dce929b50af3a8b07f57e5120374b8cd886427d,include,ELIGIBLE_HEDONIC,Multi-source data with explainable AI for comparative market analysis,mixed,listing,Indonesia,14725f6993c88106444e475e2bb0fc794bf72bd782ac,exclude,E8_not_housing_market,Water affordability ordinances,unknown,unknown,United States,0473398fa6c4f5f77786a030859c7b7874bc382e598c,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Linear regression house price prediction,unknown,unknown,unknown,147475bf4d5eb1a3c9c8e597c504767178ef60b1295e,exclude,E4_review_or_meta,Review of pre-owned housing price factors,unknown,unknown,China,04753c713257d4dda387c43f2bc6ab7c5adc9744adde,exclude,E2_no_characteristics,Macro affordability regression,unknown,unknown,unknown,0476f2ba89d1f52f857945edd3ad9b8c62c5f09080dc,exclude,E1_no_residential_price,Commercial property values,unknown,unknown,Nigeria,04773e960f5acd5e75d16ae1c87949b91202c6001aa2,exclude,E2_no_characteristics,County-level panel COVID prices,unknown,unknown,United States,04785104048bf1bd5a1ad7e0fa432e80b814d70004f3,exclude,E3_theory_method_only,Theoretical island model,unknown,unknown,China,0479d60d2f47db541d062f072a5a4e2f7e8f8eec61cf,exclude,E2_no_characteristics,Metro-level rents vs temperature,unknown,unknown,United States,04808e33cdccf36ccb40edb3c6204893e13bece7e55a,exclude,E1_no_residential_price,Reverse mortgage termination,unknown,unknown,South Korea,048188af5986d31944f366ab7070ec51a76e205d1a0f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR and DL house price forecasting,unknown,unknown,unknown,148265bb118a3409a8fbc1b111cd380333c1519f7c75,exclude,E8_not_housing_market,Gentrification measurement,unknown,unknown,Spain,0483a8a9eb92ea683796c6c8dbc3345d9c8eb3a12754,exclude,E1_no_residential_price,Chonsei-to-price ratio,unknown,unknown,South Korea,0484e12e9e7a7afff082a72aa02890516b4c3637869b,exclude,E1_no_residential_price,Mortgage loan determinants,unknown,unknown,Bulgaria,0485424b316c5c0b7301550392219db18a1a9d2d249e,exclude,E2_no_characteristics,Exchange rate volatility and prices,unknown,unknown,unknown,048631a75c18fb9a7bbb19f45217cecf82672bb5bca0,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Optimised SVR on California housing benchmark,unknown,unknown,United States,14879b799df6640a19c01c9d7d8282ed86cd7c37843d,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML intrinsic value estimation vs asking price,unknown,listing,unknown,14888ce294f03fbf873fbe5423743ce5c5b37ab1e8b0,exclude,E1_no_residential_price,Reverse mortgage re-subscription,unknown,unknown,South Korea,04896471f3a1122f91db8c389bd8fbee73d5e0b30ac8,exclude,E8_not_housing_market,Rurban phenomenon,unknown,unknown,Malaysia,0490ec2208172c9b83ab0a99cc124641e0e75c9cf818,exclude,E1_no_residential_price,Homeownership trajectories,unknown,unknown,Sweden,0491cd6056e1d83d70847ef50a9005df6bd3db34d66d,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Linear vs polynomial regression on 100 Shanghai listings (living area),condo_apartment,listing,China,14920d252dab8069e8951a9f67aa3e07244a74154b05,exclude,E8_not_housing_market,Loan prediction macro sensor,unknown,unknown,unknown,049347b15d1c041d16e71023960b6fa659d9c6a0436a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Clustering + linear regression house price prediction,unknown,unknown,unknown,1494f7934fe22ac3dd5ca749a57d3390aaa269dcc299,exclude,E3_theory_method_only,AI industry overview,unknown,unknown,unknown,14953377a45e3e46d34bbbfab97cbf64ced59fc0e5f0,exclude,E8_not_housing_market,Floor plan image generation,unknown,unknown,South Korea,0496a2b5565473fa7c72b9963899dce8e8c94c20422a,exclude,E2_no_characteristics,Area-level price prediction from imagery,unknown,unknown,unknown,1497bb94a1d3a15e06eb47d52178dc4e79b172333d96,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Linear regression on California district median prices (benchmark),unknown,unknown,United States,14983a6e641610ab34a70e7d089687e1b1e83743b2db,exclude,E8_not_housing_market,Cancer incidence,unknown,unknown,China,0499ca70739fecc59d91bc7eb046c19576980e64468f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Hybrid GRU-MLP house price prediction,unknown,unknown,unknown,15007100da25dd6367202063f88fb76e8803b327218a,exclude,E5_not_empirical_regression,Buyer behaviour survey,unknown,unknown,Malaysia,05016fcf7ac157823343420ef213ef6aaa8747488570,include,ELIGIBLE_HEDONIC,"Solar PV capitalisation and listing narratives, NZ homes",single_family,listing,New Zealand,05025c2f2e23059ed3d2e81ffbc95555ba0e8b3e32a3,exclude,E2_no_characteristics,Urban resilience aggregate,unknown,unknown,China,15033833581f473938c4cedb56851659c6a077a1b694,exclude,E5_not_empirical_regression,SOM clustering of residential market,unknown,unknown,Poland,0504a1bb31c9c16f51d36faeed8168584d107ddf711a,exclude,E2_no_characteristics,State-level affordability FGLS,unknown,unknown,Mexico,05056b88f5d714daf00791cfb4bc9639a28e8351615e,exclude,E5_not_empirical_regression,Consumer preference survey,unknown,unknown,Philippines,0506fbb61aeb7411f58d93b8bbf6f634cf7c8d88091a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR/DT/RF on Boston housing data (tract-level benchmark),unknown,unknown,United States,15076537655754e35592a0d55c4331031ccfb7d0ac6c,exclude,E8_not_housing_market,Population change,unknown,unknown,South Korea,0508c60736e351c796b9ed4faf578cdf80f8a3fb88d0,exclude,E2_no_characteristics,District panel population inflow,unknown,unknown,China,05098926a379d8bc0c969d50dcdc80b7b3976b6a6a55,include,ELIGIBLE_ML_PREDICTIVE_ONLY,AI-powered house price estimation,unknown,unknown,unknown,151049afbdfab03ddb471d9fb568d0e110755f9f301d,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Linear regression + clustering Visakhapatnam prices,mixed,listing,India,1511a400741ea6ce40409f2a98a82d6f8c59ada608b9,exclude,E8_not_housing_market,COVID preventive behaviour,unknown,unknown,China,051251a1059b59d4b43da8e865be40b3f370d986a54a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Random forest house price prediction Ajah Lagos,mixed,listing,Nigeria,151378275fd0eaf66fb56137b4c71d1c9dd2719494f5,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML house price prediction project,unknown,unknown,unknown,15145c6283b04171a3d88a6ed11c99a471946c157118,include,ELIGIBLE_ML_PREDICTIVE_ONLY,MLR/BP/RF housing price prediction comparison,unknown,unknown,unknown,15154ef7bbb869ece488800b8516b39f7e082883729f,exclude,E8_not_housing_market,Gold price VAR,unknown,unknown,unknown,05165944306425279be569dd860b5dc0561ba29744fe,exclude,E5_not_empirical_regression,Interactive analytics system demo,unknown,unknown,United States,0517cfb31eecdc43e62b8a87d7fecdffb6aa2043938f,exclude,E2_no_characteristics,Provincial macroprudential policy,unknown,unknown,China,0518c454d39fa3bad62281f5c28185fa67a0c2e1b79d,unclear,UNCLEAR_other,RDD of fiscal stress labels on property values; aggregation level unclear,unknown,unknown,United States,051979f4aed15e0ac08ea43c3de2d283c604e5a2a5b3,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML home value forecasting Seattle,single_family,transaction,United States,15202ba20a88e43703e3c456f3dc2c6891b7c5ac372b,include,ELIGIBLE_HEDONIC,DiD with spatial econometrics of MRT openings on nearby housing prices,condo_apartment,transaction,Taiwan,0521796696c73fa998b433b099374e172b6ed882dfbf,exclude,E2_no_characteristics,City-level factors YRD,unknown,unknown,China,052291b91138778cdbcd3ed778a59483d30d91d25d95,exclude,E3_theory_method_only,Decoy effect mathematical model,unknown,unknown,Indonesia,0523c6992539a199b8c8018a213de0838b425d87ced8,exclude,E8_not_housing_market,Migration and crops,unknown,unknown,Brazil,0524bf1d83a5ab390e936a7ac45432acc25b8cd4e548,exclude,E8_not_housing_market,Chronic disease elderly,unknown,unknown,China,0525ab0b2680d1ff367332b99dfcf7636dd5f7ee0fad,include,ELIGIBLE_ML_PREDICTIVE_ONLY,PSO-enhanced house price prediction Bengaluru,mixed,listing,India,1526ea2569a40c28d3872ad58bfa06e5f2001dedf617,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Hybrid LR + cubic spline house price prediction,unknown,unknown,unknown,1527f24082bb64ae2c233e6bb06987971d245e880500,exclude,E2_no_characteristics,Bubble risk ML macro,unknown,unknown,China,1528440a633cf2ee4480fc4a5c5fd0f8f18ff4622023,exclude,E2_no_characteristics,Provincial price differences,unknown,unknown,China,0529f50dfca228d69931f114bb1d7e327eeeff6b8775,exclude,E1_no_residential_price,Vacancy rate determinants,unknown,unknown,United Kingdom,0530c17ce8cb0d0915a4b3df200560c6e6761ead6de1,exclude,E4_review_or_meta,Review of ML techniques house price,unknown,unknown,unknown,15318b3e220c29b7f84a7cbf9f575a36724c62008c3e,exclude,E8_not_housing_market,Slum rehabilitation proposal,unknown,unknown,India,053238bf59597966e99f31288b3b3bfbe1d0b22ac0b5,include,ELIGIBLE_HEDONIC,Hedonic WTP for irrigation water rights via spatial discontinuity,single_family,transaction,United States,05335db1e2745b54f690925e50b88ff1e1328a7d5be9,exclude,E8_not_housing_market,Redlining and public safety,unknown,unknown,United States,05346e1d5336bff1f5714826bf133088500f6acf78e5,include,ELIGIBLE_HEDONIC,San Diego home prices on structural characteristics and proximities,single_family,transaction,United States,0535983d749ed9703ef4fdf843f2f7c7fb749fe7eada,exclude,E1_no_residential_price,Durable consumption outcome,unknown,unknown,unknown,0536b7625e673e9d0c426f325655681e3f17080269d1,exclude,E1_no_residential_price,Office rental prices,unknown,unknown,unknown,15374c31e259cf5625db8bd0cbbcae78c68fed2c8164,include,ELIGIBLE_HEDONIC,Regression and XGBoost with text embeddings and SHAP for house valuation,unknown,unknown,unknown,153849a131b337966ee8aff2dd20022ae66e4666e6b7,exclude,E8_not_housing_market,Tourism demand,unknown,unknown,United States,05395551fe68f083e53aded85fca7c9779c3ce00133b,exclude,E8_not_housing_market,AR portal,unknown,unknown,unknown,0540e6791dc6106aa6a7174cd58c50e5f94de067bd51,exclude,E1_no_residential_price,Development delay,unknown,unknown,unknown,054160cd085daa47e5c5af4aad106e91c07a606ef9d6,include,ELIGIBLE_HEDONIC,Transaction price regression with buyer gender attributes vs AVM benchmark,mixed,transaction,New Zealand,1542762dd45bb9b7ff53a2a7ac9734f4360da93d0466,exclude,E8_not_housing_market,Social housing planning,unknown,unknown,Serbia,0543f5b6372eb26ce015257382bb717937d6878dd85c,exclude,E1_no_residential_price,Housing credit growth,unknown,unknown,Indonesia,0544b900cadade4f47fa0ecef4d09a7e1013ed1dc389,exclude,E5_not_empirical_regression,Perceived quality factors,unknown,unknown,Serbia,05457c00623922d619dfa7d8c1785abf150a72309e91,exclude,E8_not_housing_market,Fitness venues layout,unknown,unknown,China,05468ffc448ce6e46fbcf5437c444d77a6fea653c29c,exclude,E1_no_residential_price,Consumption wealth effect,unknown,unknown,China,05476e342a40589949a89eec6acad53cbc31179cc2bb,exclude,E8_not_housing_market,Happiness outcome,unknown,unknown,China,0548fb592b6008ce998aa61c76480ca5b79ad288526d,exclude,E5_not_empirical_regression,Delphi/AHP ranking of house qualities,unknown,unknown,Malaysia,0549a1cf0482877f8f53a4698218224a11df272ce0b5,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Deep learning high-cost rental price prediction multi-market,rental,rent,unknown,1550d569711ac8975457534266850b0643e222b549f9,exclude,E2_no_characteristics,Linear regression on aggregate government statistics,unknown,unknown,China,0551467a8caae9c59caa776449771f6525986d15978b,exclude,E5_not_empirical_regression,"Factor analysis, no price regression",unknown,unknown,United States,05523d5a7599b2d5e603e03859d43d566ec86686fddb,exclude,E8_not_housing_market,3D panorama platform,unknown,unknown,China,055351643209bc3940389d09a78a9f938d7cefeb7e25,exclude,E8_not_housing_market,Bus stop layout,unknown,unknown,China,0554bf43ea3d946653dcb26b953367439d4173a335d2,exclude,E3_theory_method_only,Theoretical supply model,unknown,unknown,unknown,0555dcde1eba0618c187cba1d25ee4d291721a6c03bb,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Deep learning real estate price prediction,unknown,unknown,unknown,1556a52eb01ba5d53d13826ad6de88af1a45a84d3269,exclude,E2_no_characteristics,Urban price forecasting multi-source fusion,unknown,unknown,China,1557943935deb210ee45e0967593dc28c89504ada494,exclude,E4_review_or_meta,Review smart house price estimator,unknown,unknown,unknown,15583b5d4a173189d979ea9cc4e605d149a3c6311452,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML house price prediction accounting for COVID,unknown,unknown,unknown,1559eef6e7515041e510be00392c2759d3c70dc2801a,include,ELIGIBLE_ML_PREDICTIVE_ONLY,RF vs MLR Greater Jakarta house prices,single_family,listing,Indonesia,15609af783c67accfa53a943e59e8e56589f721d145e,exclude,E1_no_residential_price,Credit supply and purchase volume,unknown,unknown,United States,05619963cda2bc738552467123a0d6ea41689294751a,include,ELIGIBLE_HEDONIC,MLR of 3000 Singapore resale prices on 6 variables,condo_apartment,transaction,Singapore,05627f339c1ab989769c86c527166573bc6b3ea01d2f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Hypothesis tests + XGBoost Guangzhou price prediction,condo_apartment,listing,China,156373274579fc23a002132e61e32aa7835203d7c03d,unclear,UNCLEAR_other,POI/GIS spatial analysis of housing prices Longgang; regression unclear,condo_apartment,listing,China,0564ec6f2ce063def49d2b2b6ad4ace4ef9c8886e4fb,exclude,E2_no_characteristics,Inter-city price differences,unknown,unknown,China,05658cd54b989f456e0f10412d61dc28aab22bd816b1,exclude,E8_not_housing_market,Home loan credit risk,unknown,unknown,China,05669170a7fab9d882152c28fff91ab9215487dc2100,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML with texture/visual features house prices,unknown,unknown,unknown,1567b63709a719976d279c74cb2862ab60a038834681,exclude,E2_no_characteristics,Spanish bubble macro,unknown,unknown,Spain,0568a79caad4f097dfd2f331e74499f98038b67f1b4d,exclude,E8_not_housing_market,Monetary policy Taylor rule,unknown,unknown,Brazil,0569a17282c811db23c1573c77d57156fa3a96a1e997,exclude,E8_not_housing_market,Uncompleted buildings safety,unknown,unknown,Nigeria,0570e2cc5795f59d6d54877b1c37f6c03fbf26e0bd73,exclude,E8_not_housing_market,Income inequality,unknown,unknown,Thailand,0571ff555f032d8e8740f36974470cafa19677c6f5d8,exclude,E8_not_housing_market,Local affordability comparison,unknown,unknown,Finland,0572beadaee0db99b04cf1fc57de6aea4662413c88cd,include,ELIGIBLE_ML_PREDICTIVE_ONLY,"Gradient boosting on 1,468 Prishtina apartment transactions, variable importance",condo_apartment,transaction,Kosovo,157342f737c1bf1c3f08ed10b7e17eaf0789673a4ab1,exclude,E5_not_empirical_regression,Survey of financial determinants,unknown,unknown,Poland,0574bc55467fd9f1063647b01b200414773eff2e20c2,exclude,E2_no_characteristics,City-level DiD purchase restrictions,unknown,unknown,China,05752a2b8b3d5a0c865db3abf48e108b2dbbbb2ceeff,exclude,E8_not_housing_market,Non-performing loans,unknown,unknown,Indonesia,0576aa25d09549854ebf9a674207f5f912ade4aacdbd,exclude,E2_no_characteristics,Macro policy interaction,unknown,unknown,China,0577a2b234b3d78580079ab28badc6608d74dbf040ef,exclude,E2_no_characteristics,Macro determinants Germany,unknown,unknown,Germany,057892b3d38be3dbff32b1c04e414ae4c9d017636b4b,exclude,E8_not_housing_market,Probit education neighbourhood effect,unknown,unknown,unknown,05797eeea5a4a3845d4e45fad42bad570fad9bc3cc01,include,ELIGIBLE_HEDONIC,"Amenity indicators vs housing price spatial differentiation, Nanjing",condo_apartment,listing,China,05805f345c47e2f9b660f768d077cd90b359c0b19103,exclude,E2_no_characteristics,Elman NN on average city prices,unknown,unknown,China,158119815f376352d9dcc6623af7578cc22212c73353,exclude,E8_not_housing_market,Campus traffic congestion,unknown,unknown,Saudi Arabia,0582e71acbd173dd1a7f8c5efc62e0b857f3d8c39e99,exclude,E4_review_or_meta,Review/comparison of ML methods,unknown,unknown,unknown,158397188e4c6e76070966d42d2358a5cd905b29f66f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,GIS + DNN housing price estimation Istanbul,condo_apartment,listing,Turkey,158445c5e38becd9cb448da6eb30f029022b6d34d602,exclude,E2_no_characteristics,Cross-country panel disasters,unknown,unknown,unknown,058597c15cfffa40422a5169adda49b90ebfa3545fd6,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Predictive models for US house prices,unknown,unknown,United States,158635b22c4edd44922572e1faff76ab88c58ae890f0,exclude,E2_no_characteristics,Macro indicators US median price,unknown,unknown,United States,0587fc0adf5d4d84d9dd152ad081fcf8579e83b80c20,exclude,E8_not_housing_market,Adult weight status,unknown,unknown,United States,0588855824fdf145e264dcd7ea3763b92d162e717a70,exclude,E2_no_characteristics,Policy reversal on district prices and volume,unknown,unknown,South Korea,05899010a7849ddf7dd9531b5932820f4d9bcce4a137,include,ELIGIBLE_ML_PREDICTIVE_ONLY,RN-LGBM resale house price prediction,unknown,transaction,unknown,1590877cbdabc2aba0920a744f15d91bf843fa770f5c,include,ELIGIBLE_HEDONIC,"Highway improvement effects on housing prices, Southern Norway",single_family,transaction,Norway,0591a5d6155b695026a4cc765721547bcbda1c77b130,exclude,E2_no_characteristics,Talent policy city prices,unknown,unknown,China,05923269024106c3c5c1b096e9638a30cfe4f5ab29de,exclude,E2_no_characteristics,Territorial differentiation Perm market,unknown,unknown,Russia,0593b193e7bd2f9749a7e807a9de8c3138bdd7da7eb9,include,ELIGIBLE_HEDONIC,"Spatial discontinuity regression of housing prices at district boundaries, Hangzhou",condo_apartment,listing,China,0594da788359b5464c70f1b6731b6a730154e5359237,exclude,E1_no_residential_price,Warehouse GIM,unknown,unknown,Indonesia,0595c6eae1c25e778430da557eefb4c403911468d0ee,exclude,E3_theory_method_only,OTSW strategic analysis,unknown,unknown,Russia,05968b58ad50395fc6baa885eaf915d02865c29e0ac0,exclude,E2_no_characteristics,US HPI macro regression,unknown,unknown,United States,05977d2894011a7c40caa92c799e64f5bdf4b1f8f3a6,include,ELIGIBLE_ML_PREDICTIVE_ONLY,PropInsight ML price prediction framework,condo_apartment,unknown,unknown,1598384bac8c2360bb22e0244360bc839302bbc09a23,exclude,E2_no_characteristics,HPI prediction from macro variables,unknown,unknown,South Korea,15997560172f142513865c7c51097d4d9d77f7bd6e7f,exclude,E2_no_characteristics,Price vs income discussion,unknown,unknown,China,060075dc231dde5373a533a4cbad0a39ada6bf28babb,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Ensemble ML on Ames housing data,single_family,transaction,United States,160191fdcf614a24045acac762ca9487768d983f3ff2,exclude,E1_no_residential_price,Urban land values HSR,unknown,unknown,China,0602c90c720ddfcafc56e0c6d4ac2937c39d9bf51bf6,exclude,E4_review_or_meta,Systematic review and meta-analysis urban renewal,unknown,unknown,unknown,0603408d3bf9cac6f3c6436c9a7bfa765b8d468b9ea8,include,ELIGIBLE_HEDONIC,School quality and house prices London/Bristol,mixed,transaction,United Kingdom,060476d731042387004ec5b89c4d4e87b6aaa94e36a8,include,ELIGIBLE_HEDONIC,"GWR/MGWR of single-family sale prices near rail station, Fremont",single_family,transaction,United States,0605db3684d67741de25ae92064ef093bf9c1d604ef8,include,ELIGIBLE_HEDONIC,"Dwelling attributes vs assessed values, Boston 2024 assessment data",mixed,appraisal,United States,0606eb0710e7681f532d2049c35a7fc124e14d9cd8bc,exclude,E1_no_residential_price,Affordability matrix methodology,unknown,unknown,unknown,0607388e783e75a4e2730131b81f4fb9a30c53272d53,exclude,E5_not_empirical_regression,Obsolescence questionnaire,unknown,unknown,Nigeria,06087859adb95b45d6bc914e4522831e79f12fd4110e,exclude,E2_no_characteristics,Bubble deviation assessment,unknown,unknown,Bulgaria,0609b3ee52db1e3f6d4eef4c80288d9b715717092372,include,ELIGIBLE_HEDONIC,MLR house price influencing factors Beijing,condo_apartment,listing,China,061064e6e0d0e56399a90ea269a5db31660877659764,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Big-data pricing rules prediction model,unknown,unknown,China,1611d14b9a74252b0ef8c2c76a474680a11785c7faca,exclude,E2_no_characteristics,Macro indexes MLR,unknown,unknown,China,0612ee7734939116d6f22eab74c9f163e632478428ed,exclude,E5_not_empirical_regression,Qualitative submarket analysis,unknown,unknown,Brazil,0613a6b7be12c5485726891ca3625471e23814fee1f8,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML comparison on nationwide US real estate dataset,mixed,listing,United States,1614b2367716adbb2c099895d56da225a9e7108de17f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML regression Bengaluru house prices,mixed,listing,India,16156f3fc655280b317ad9bea310a9f26c65e9e9af81,exclude,E1_no_residential_price,Securitization payment delay,unknown,unknown,China,0616f9062aba37b68908c676eaa58b80bd5eacac4baf,include,ELIGIBLE_ML_PREDICTIVE_ONLY,MLR vs RF house plot price prediction,single_family,listing,Indonesia,161760aa1aaaf9ff016a9f4ade7b8268722fa324348c,exclude,E3_theory_method_only,Hotelling location model,unknown,unknown,China,0618cf49e7304f2b83ef90170802b85037fb606ddc49,exclude,E5_not_empirical_regression,Developer questionnaire regression,unknown,unknown,Nigeria,061990baa1932ef9ec70c41fd4493d28d7943af75d5a,exclude,E3_theory_method_only,Extreme quantile panel methodology,unknown,unknown,unknown,062008067dc7927c424b7319f21e03ddc9b808cd1e62,exclude,E4_review_or_meta,ML in real estate overview,unknown,unknown,Russia,16214d21a0015220409cff549696893bcfc72c3d66da,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML comparison California housing dataset (block-group benchmark),unknown,unknown,United States,1622790369d3164a5c321a374c363e609d631b94c01e,exclude,E2_no_characteristics,Macro indicators commercial housing price,unknown,unknown,China,0623cd6eec970b6a59ea8dee045617f97e2087086ea1,exclude,E8_not_housing_market,Market linkage time series,unknown,unknown,China,1624ddd1d5f9acd1640abf349a35eb11e60e8bf03eb4,include,ELIGIBLE_HEDONIC,"Price decomposition by housing characteristics, location and date across occupations",mixed,transaction,France,0625b8fc055e9dd25a6fd022fc749da1694e2e1750df,exclude,E5_not_empirical_regression,Valuer questionnaire regression,unknown,unknown,South Africa,06262d87c288ee6d85af5f3c980498d8aa6d765c81f9,exclude,E1_no_residential_price,Local property tax revenues,unknown,unknown,Taiwan,06276886753812b3d5005e2285868c53a7f3ec7c12f2,exclude,E2_no_characteristics,Inflation and PIR,unknown,unknown,South Korea,0628d1229569c6973d9c15fbf58c5853c868844048e1,include,ELIGIBLE_ML_PREDICTIVE_ONLY,PCA vs RF housing price prediction,unknown,unknown,Indonesia,16298878a91aeefd2cc17d2956f65192f1f5b7ba07c4,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML and ensemble models Beijing second-hand prices,condo_apartment,listing,China,1630bc3c653045e72a1a1465e1c5cc7c968ad5384756,exclude,E5_not_empirical_regression,Descriptive survey of rental values,unknown,unknown,Nigeria,06318f0887019b71b743e0ba610bc730c830ae8e9fad,exclude,E3_theory_method_only,Regression tree hyperparameter design,unknown,unknown,unknown,0632c6c5373e7d621a44459cbf98dd26ba0e9250a689,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Boston dataset correlation and forecasting (tract-level benchmark),unknown,unknown,United States,16338a163c9eded939c047511cb8811bb2c54f9defb2,include,ELIGIBLE_ML_PREDICTIVE_ONLY,LR/RF/PCA on California housing data (block-group benchmark),unknown,unknown,United States,1634370b8400308f80b885669b1887e6ee459daa30f0,exclude,E3_theory_method_only,Spatial heteroskedasticity test methodology,unknown,unknown,unknown,0635cab0699702ad84dc3c8767d17f723cde0abb13b0,exclude,E8_not_housing_market,Default risk essays,unknown,unknown,United States,063644d9c9de089a2aa76fb13464c64bfd1a37dd7269,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML house price prediction system,unknown,unknown,unknown,163760ea52359288bfc4dfc545bb97a5c6d051035d16,exclude,E1_no_residential_price,Tax policy efficiency DEA,unknown,unknown,South Korea,063871f2cba94670cd3e414be2a6dedf7b181d8e4d0c,unclear,UNCLEAR_other,"Metadata mismatch: MARS house price title, environmental criticality abstract",unknown,unknown,Indonesia,0639c43f9eb0a27f512dde6f9261012f5c01eea04239,include,ELIGIBLE_HEDONIC,Stepwise MLR and RF on 1500 US house sales 2014,single_family,transaction,United States,1640f2d895b966896b33294c749c51879082a23846b3,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML home value estimation 5000 records with geospatial features,mixed,listing,India,16416ac9658b7e8d06a4856baaded7047cf2200da810,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Image-based real estate appraisal,unknown,unknown,unknown,1642e6d26849df778b53b5e2eab2586a309ce203311f,exclude,E3_theory_method_only,Ensemble strategy evaluation using Boston data as carrier,unknown,unknown,United States,1643366afdb36deb552049d1bcb75a35cf4d175384c1,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML algorithms Boston housing prices (tract-level benchmark),unknown,unknown,United States,164429a9b86b0a981f834fb9d832e1cdb36b8071caf9,exclude,E1_no_residential_price,Home sale decision hazard,unknown,unknown,South Korea,06458f33acc3c9eb567cde24ae3fe6775d2110a3ed79,exclude,E2_no_characteristics,US macro price growth,unknown,unknown,United States,064692eb58d807cc7cdd4dd724bc9cd9ea2b2c61811c,exclude,E8_not_housing_market,Financial crisis probability,unknown,unknown,unknown,06472f424ef47bc504de4db37062a0a7df65b6c0552f,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Supervised ML housing price prediction,unknown,unknown,unknown,1648abfcd4aa3c8d3ce0e734973fd4e146e4660588aa,exclude,E2_no_characteristics,Bubble causes,unknown,unknown,China,0649a9bddd929e93912b85946c70ca05b923eafb8987,exclude,E3_theory_method_only,Self-explaining geospatial tree methodology,unknown,unknown,unknown,1650f870a2d97f24564c545a70499dbb596627b9f607,include,ELIGIBLE_HEDONIC,"Shopping mall distance and neighbourhood housing prices, Beijing",condo_apartment,listing,China,065145d1afd6b1505bb377789cffd81e03cf1e6f8407,exclude,E2_no_characteristics,Metro-level fixed effects panel,unknown,unknown,United States,06529992d1b651ce3778faeee64b0115f6f013f36131,exclude,E3_theory_method_only,DSGE model,unknown,unknown,Bahamas,0653c755a9400eb0b2ef80c9292e669331ffeb078501,include,ELIGIBLE_ML_PREDICTIVE_ONLY,ML residential rental rate estimation India,rental,rent,India,1654c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,include,ELIGIBLE_HEDONIC,Regression of suburban Chicago property values on house attributes,single_family,listing,United States,0655995c6d0294f4fd90344c55b53cd2efbc1e99aff3,exclude,E1_no_residential_price,Residential land prices GWR,unknown,unknown,China,0656f235f28a97f34a9d838db94b7565e5fee975353b,exclude,E2_no_characteristics,US macro linear regression and time series,unknown,unknown,United States,065796081d3dce3003e8577bd939129a8bb2ac3b7b06,exclude,E2_no_characteristics,Macro determinants South Africa,unknown,unknown,South Africa,06588748370c9c78d825ab2285095495d8953f7e7d82,exclude,E8_not_housing_market,Crisis early warning ML,unknown,unknown,unknown,0659709a4c3e872e50eff17150efe514f06c8a7c1418,exclude,E8_not_housing_market,Optimization algorithm engineering,unknown,unknown,unknown,0660d73db8e541080423b134044d2118691ddf867f62,exclude,E1_no_residential_price,Time to close outcome,unknown,unknown,South Korea,0661e56439108f1b9f4b91c8f17d6e58616efa44992d,exclude,E2_no_characteristics,HPI macro Malaysia Singapore,unknown,unknown,Malaysia,066243809ce634697aab7dff414691799271eca470ec,include,ELIGIBLE_HEDONIC,"Beijing housing prices on floors, construction time, environment",condo_apartment,listing,China,066325d02f4b22954faacce875002c2eabd4644dc44d,unclear,UNCLEAR_other,"Crime vs price per m2 of housing and Airbnb, OLS/GWR; aggregation level unclear",mixed,listing,Spain,066436ad1f674de54e1ecb64d16215afd62268e4b9f5,include,ELIGIBLE_HEDONIC,MLR + XGBoost on 5850 Shanghai second-hand transactions,condo_apartment,transaction,China,1665ba5888e5375daceadfdec830d1897161de0f895c,include,ELIGIBLE_ML_PREDICTIVE_ONLY,Random forest ranked factor contributions Beijing prices,condo_apartment,listing,China,1666