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The Impact of Macro Factors on Apartment Prices in Polish Counties: A Two-Stage Quantile Spatial Regression Approach

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  • Tomal Mateusz

    (Department of Economics for Real Estate and Investment Process, Cracow University of Economics)

Abstract

The aim of this study is to identify the economic, demographic, environmental and spatial determinants of residential property prices in Polish counties. Two-stage quantile spatial regression (2SQSR) is the main method of analysis. Additionally, two-stage least squares regression (2SLS) is used.

Suggested Citation

  • Tomal Mateusz, 2019. "The Impact of Macro Factors on Apartment Prices in Polish Counties: A Two-Stage Quantile Spatial Regression Approach," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 1-14, December.
    • Handle: RePEc:vrs:remava:v:27:y:2019:i:4:p:1-14:n:1
    DOI: 10.2478/remav-2019-0031
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    More about this item

    Keywords

    spatial quantile regression; Polish counties; apartment prices; housing market in Poland;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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