Variabilité spatiale des prix hédoniques des caractéristiques du logement: une nouvelle méthode de calcul des indices de prix spatiaux
[Spatial variability of housing attribute marginal prices: estimation of regional price indices]
AbstractEstimation of spatial housing price indices requires a housing market segmentation into local sub-markets. In this paper, we use geographically weighted regression model (GWR) to take account for spatial heterogeneity of housing attribute marginal prices. Estimated marginal prices are then used to assess constant quality housing values over space. Evidences from urban Tunisia assert attribute marginal prices variability and provide satisfactory indices in both ownership and rental markets.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 14227.
Date of creation: 20 Oct 2008
Date of revision:
Marché de logement - Prix hédoniques - régression géographiquement pondérée - indice de prix spatiaux;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-03-28 (All new papers)
- NEP-GEO-2009-03-28 (Economic Geography)
- NEP-URE-2009-03-28 (Urban & Real Estate Economics)
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