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The Application of Spatial Autoregressive Models for Analyzing the Influence of Spatial Factors on Real Estate Prices and Values

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  • Kobylińska Katarzyna

    (Departament of Geoengineering, University of Warmia and Mazury in Olsztyn)

Abstract

The spatial distribution of real estate in specific geographic locations, real estate transactions, and the prices and values of properties are a highly complex spatial phenomena that should be analyzed with the use of multidimensional methods. Spatial factors are taken into account in the modeling process to increase the reliability of real estate market analyses, and spatial autoregressive models are applied to determine the effect of spatial factors on real estate prices and values.

Suggested Citation

  • Kobylińska Katarzyna, 2021. "The Application of Spatial Autoregressive Models for Analyzing the Influence of Spatial Factors on Real Estate Prices and Values," Real Estate Management and Valuation, Sciendo, vol. 29(4), pages 23-35, December.
    • Handle: RePEc:vrs:remava:v:29:y:2021:i:4:p:23-35:n:4
    DOI: 10.2478/remav-2021-0027
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    References listed on IDEAS

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    More about this item

    Keywords

    spatial autoregressive models; spatial phenomena; real estate market;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • 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
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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