6533b823fe1ef96bd127ed81
RESEARCH PRODUCT
The spatial dimension of the French private rental markets: Evidence from microgeographic data in 2015
Marie-laure BreuilléJulie Le GalloKassoum AyoubaCamille Grivaultsubject
Geography Planning and Development0211 other engineering and technologies02 engineering and technologyHedonic modelsManagement Monitoring Policy and LawJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsPrivate rental marketsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R3 - Real Estate Markets Spatial Production Analysis and Firm Location/R.R3.R31 - Housing Supply and MarketsRenting0502 economics and business11. SustainabilityArchitectureEconomicsEconomic geography050207 economicsDimension (data warehouse)Nature and Landscape Conservationbusiness.industry05 social sciences021107 urban & regional planning[SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture economy and politics[SHS.ECO]Humanities and Social Sciences/Economics and FinanceSpatial heterogeneityUrban StudiesSpatial heterogeneitybusinessdescription
International audience; This article draws on data collected by local rental observatories in 12 French urban units in 2015 to analyze the spatial dimension of hedonic rental prices in the private rental market through (i) the spatial heterogeneity between urban units and (ii) the wide variety of contextual and locational characteristics (socio-economic, environmental (dis)amenity, and accessibility) and flexible specifications to capture their potential non-linear influence on rent. Based on a joint test of equality of coefficients across all urban units, we find that hedonic prices differ for 75% of the characteristics, thereby justifying a detailed analysis of heterogeneity. Lyon, Nice, and Paris taken individually are the urban units with the most specific valuations of housing characteristics and socio-economic characteristics. Our analysis reveals that housing characteristics, median income, and distance to the center are clearly the variables with the most heterogeneous effects on hedonic prices.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-11-08 |