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Estimating housing market value using regression models

Author

Listed:
  • José Ángel Rodríguez
  • Vicente Caballer
  • Maria dos Anjos Ramos

Abstract

The aim of this paper is to determinate the contribution of economic, demographic and climatologic variables in the Spanish housing market value (both new and second-hand market), with data of the different provinces. Starting from housing dealing prices grouped together by regions, and using regression analysis, we obtain as a result explanatory equations of price with a high determination coefficient. In this work we also estimate other variables such as provincial capital index and inter-provincial dispersal index. This one, uses estimations concerning autonomous regions in order to calculate housing market value in the provinces.

Suggested Citation

  • José Ángel Rodríguez & Vicente Caballer & Maria dos Anjos Ramos, 2001. "Estimating housing market value using regression models," ERES eres2001_265, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2001_265
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    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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