A Methodology to Compute Regional Housing Index Price using Matching Estimator Methods
AbstractThis paper proposes a methodology for a spatial cost index of housing that considers spatial heterogeneity in properties across regions. The index is built by combining three different techniques to reduce the spatial heterogeneity in housing: Quasi-experimental methods, hedonic prices and Fisher spatial price index. Using microdata from the Chilean survey CASEN 2006, it is shown that the quasi-experimental method called Mahalanobis metric within propensity score calipers (MMWPS) leads to a significant reduction in the potential bias. The technique matches dwellings of a particular region with other properties of similar characteristics in the benchmark region (Metropolitan region). Once the houses are matched, a hedonic price model is computed, and a regional housing price matrix is created using Fisher spatial price indices. The paper concludes the existence of price differentials for homogeneous houses across regions in Chile.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 15016.
Date of creation: 04 May 2009
Date of revision: 04 May 2009
Housing Cost; Index Hedonic Prices Index; Matching Estimator; Spatial Fisher Index;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- 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-2009-05-09 (All new papers)
- NEP-ECM-2009-05-09 (Econometrics)
- NEP-GEO-2009-05-09 (Economic Geography)
- NEP-URE-2009-05-09 (Urban & Real Estate Economics)
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