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1{2 "record_id": "8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6  "title": "Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality",7  "year": 2023,8  "doi": "10.3368/le.100.1.102122-0086r",9  "country": "United States",10  "region_city": "Contiguous United States (national model; properties within 1,000 m of lakes > 4 ha)",11  "sample_start": null,12  "sample_end": null,13  "property_type": "single_family",14  "price_type": "transaction",15  "data_source": "Zillow ZTRAX arms-length single-family sales (PLACES lab, Boston University), prices in 2020 $; LAGOS-NE and EPA WQP Secchi depth; NHGIS median income; NED slope/elevation",16  "document_type": "journal",17  "estimators": [18   "OLS"19  ],20  "spatial_method": "census tract x year fixed effects; state and ecoregion interactions with water quality",21  "time_fe": true,22  "location_fe": true,23  "se_type": "clustered",24  "n_obs_total": 485860,25  "ai_methods": [],26  "notes": "Land Economics 100(1), accepted version. Baseline national log-log model (Eq. 1): ln(sale price) on ln(Secchi) and its interactions with lakefront buffer, ln(lake distance), demeaned ln(lake area), urban, ecoregion and state dummies, plus controls; 'all continuous covariates enter the model in log form'. Only main effects are extracted; the Secchi x state / x ecoregion / x urban / x <150 m / x lake distance / x lake area interaction terms are not extracted. Table 3 (p.34): N = 485,860, standard errors clustered at census tract level, star legend *p<.05 **p<.01 ***p<.001 (note: non-standard legend). Sale years of the ZTRAX sample are not stated in the text (sample_start/end left null). Models for Region/Division/State/Substate scales are summarised only as elasticity distributions (not extracted)."27 },28 "models": [29  {30   "model_id": "T3-c1",31   "table": "3",32   "column": "Estimate",33   "page": 34,34   "dep_var": "ln(sale price, 2020 $)",35   "dep_transform": "log",36   "estimator": "OLS",37   "n_obs": 485860,38   "r2": null,39   "se_or_t_in_parentheses": "se",40   "sample_subset": "National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"41  }42 ],43 "coefficients": [44  {45   "model_id": "T3-c1",46   "var_name_printed": "Secchi",47   "taxonomy_id": "water_quality",48   "x_transform": "log",49   "x_unit": "m (Secchi depth)",50   "beta": 0.231,51   "se": 0.034,52   "t": null,53   "p": null,54   "p_stars": "***",55   "ci_lo": null,56   "ci_hi": null,57   "page": 34,58   "confidence": "high",59   "notes": "ln(summer mean Secchi depth, metres); main effect = elasticity for a lake with mean log lake area (interactions demeaned); excluded categories MN and Ecoregion 8.1"60  },61  {62   "model_id": "T3-c1",63   "var_name_printed": "<150 m",64   "taxonomy_id": "water_proximity",65   "x_transform": "binary",66   "x_unit": "binary",67   "beta": 0.124,68   "se": 0.009,69   "t": null,70   "p": null,71   "p_stars": "***",72   "ci_lo": null,73   "ci_hi": null,74   "page": 34,75   "confidence": "high",76   "notes": "Lakefront buffer dummy: property within 150 m of the lake =1"77  },78  {79   "model_id": "T3-c1",80   "var_name_printed": "Lake Distance",81   "taxonomy_id": "water_proximity",82   "x_transform": "log",83   "x_unit": "m",84   "beta": -0.095,85   "se": 0.005,86   "t": null,87   "p": null,88   "p_stars": "***",89   "ci_lo": null,90   "ci_hi": null,91   "page": 34,92   "confidence": "high",93   "notes": "ln(distance from property to nearest lake, metres)"94  },95  {96   "model_id": "T3-c1",97   "var_name_printed": "Lake Area",98   "taxonomy_id": "other",99   "x_transform": "log",100   "x_unit": "ha",101   "beta": 0.013,102   "se": 0.005,103   "t": null,104   "p": null,105   "p_stars": "*",106   "ci_lo": null,107   "ci_hi": null,108   "page": 34,109   "confidence": "high",110   "notes": "ln(lake surface area, hectares), not demeaned as a control"111  },112  {113   "model_id": "T3-c1",114   "var_name_printed": "Median Income",115   "taxonomy_id": "income",116   "x_transform": "log",117   "x_unit": "currency (2016 $, block group median)",118   "beta": 0.131,119   "se": 0.014,120   "t": null,121   "p": null,122   "p_stars": "***",123   "ci_lo": null,124   "ci_hi": null,125   "page": 34,126   "confidence": "high",127   "notes": "ln(block-group median income)"128  },129  {130   "model_id": "T3-c1",131   "var_name_printed": "Slope",132   "taxonomy_id": "other",133   "x_transform": "log",134   "x_unit": "degrees",135   "beta": 0.019,136   "se": 0.002,137   "t": null,138   "p": null,139   "p_stars": "***",140   "ci_lo": null,141   "ci_hi": null,142   "page": 34,143   "confidence": "high",144   "notes": "ln(parcel slope in degrees)"145  },146  {147   "model_id": "T3-c1",148   "var_name_printed": "Elevation",149   "taxonomy_id": "other",150   "x_transform": "log",151   "x_unit": "m",152   "beta": -0.023,153   "se": 0.023,154   "t": null,155   "p": null,156   "p_stars": "",157   "ci_lo": null,158   "ci_hi": null,159   "page": 34,160   "confidence": "high",161   "notes": "ln(parcel elevation, metres); printed as -0.0230"162  },163  {164   "model_id": "T3-c1",165   "var_name_printed": "Lot Size",166   "taxonomy_id": "lot_size",167   "x_transform": "log",168   "x_unit": "sqft",169   "beta": 0.101,170   "se": 0.004,171   "t": null,172   "p": null,173   "p_stars": "***",174   "ci_lo": null,175   "ci_hi": null,176   "page": 34,177   "confidence": "high",178   "notes": "ln(lot size, sq ft)"179  },180  {181   "model_id": "T3-c1",182   "var_name_printed": "Building Age",183   "taxonomy_id": "age",184   "x_transform": "log",185   "x_unit": "years",186   "beta": -0.125,187   "se": 0.003,188   "t": null,189   "p": null,190   "p_stars": "***",191   "ci_lo": null,192   "ci_hi": null,193   "page": 34,194   "confidence": "high",195   "notes": "ln(building age in years)"196  },197  {198   "model_id": "T3-c1",199   "var_name_printed": "Building Size",200   "taxonomy_id": "living_area",201   "x_transform": "log",202   "x_unit": "sqft",203   "beta": 0.547,204   "se": 0.01,205   "t": null,206   "p": null,207   "p_stars": "***",208   "ci_lo": null,209   "ci_hi": null,210   "page": 34,211   "confidence": "high",212   "notes": "ln(building size, sq ft)"213  },214  {215   "model_id": "T3-c1",216   "var_name_printed": "Quarter 2",217   "taxonomy_id": "transaction_timing",218   "x_transform": "dummy",219   "x_unit": "binary",220   "beta": 0.044,221   "se": 0.002,222   "t": null,223   "p": null,224   "p_stars": "***",225   "ci_lo": null,226   "ci_hi": null,227   "page": 34,228   "confidence": "high",229   "notes": "Sale quarter 2 dummy (reference quarter 1)"230  },231  {232   "model_id": "T3-c1",233   "var_name_printed": "Quarter 3",234   "taxonomy_id": "transaction_timing",235   "x_transform": "dummy",236   "x_unit": "binary",237   "beta": 0.05,238   "se": 0.002,239   "t": null,240   "p": null,241   "p_stars": "***",242   "ci_lo": null,243   "ci_hi": null,244   "page": 34,245   "confidence": "high",246   "notes": "Sale quarter 3 dummy (reference quarter 1)"247  },248  {249   "model_id": "T3-c1",250   "var_name_printed": "Quarter 4",251   "taxonomy_id": "transaction_timing",252   "x_transform": "dummy",253   "x_unit": "binary",254   "beta": 0.015,255   "se": 0.002,256   "t": null,257   "p": null,258   "p_stars": "***",259   "ci_lo": null,260   "ci_hi": null,261   "page": 34,262   "confidence": "high",263   "notes": "Sale quarter 4 dummy (reference quarter 1)"264  }265 ]266}