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Correlation of Economic Development of Countries with the Potential of their Housing Real Estate Markets: A Case Study in the European Union

Author

Listed:
  • Ireneusz Dabrowski
  • Lukasz Mach
  • Lukasz Mikolajczyk
  • Arkadiusz Kuswik

Abstract

Purpose: The aim of the research is to examine the correlation between economic development in the macroeconomic scale and the development of the real estate market. Design/Methodology/Approach: The tool of the applied computational engineering is cluster analysis, the hierarchical method based on Euclidean distance and Ward’s method (algorithm). Findings: The research process carried out confirmed the existence of a dependence between macroeconomic determinants and parameters of the real estate market. A division into three homogeneous groups of countries, whose development shows signs of similarity, was obtained. This allows making comparisons between individual countries, neglecting their geographical and historical dependences. Practical Implications: The utilitarian usability of applying computational tools used in economic analyses was proved. Originality/Value: Individual clusters make a certain reference point for particular countries. The obtained results offer the possibility of applying a suitable strategy which provides bases for development and also the possibility of verifying its effects against a whole group.

Suggested Citation

  • Ireneusz Dabrowski & Lukasz Mach & Lukasz Mikolajczyk & Arkadiusz Kuswik, 2020. "Correlation of Economic Development of Countries with the Potential of their Housing Real Estate Markets: A Case Study in the European Union," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 660-678.
    • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:special1:p:660-678
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    References listed on IDEAS

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    1. Glenn Milligan & Martha Cooper, 1988. "A study of standardization of variables in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 181-204, September.
    2. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    3. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    4. Huang, Yuting & Li, Qiang & Liow, Kim Hiang & Zhou, Xiaoxia, 2020. "Is Housing the Business Cycle? A Multiresolution Analysis for OECD Countries," Journal of Housing Economics, Elsevier, vol. 49(C).
    5. Brzezicka, Justyna & Wisniewski, Radoslaw & Figurska, Marta, 2018. "Disequilibrium in the real estate market: Evidence from Poland," Land Use Policy, Elsevier, vol. 78(C), pages 515-531.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Renigier-Biłozor, Małgorzata & Janowski, Artur & Walacik, Marek & Chmielewska, Aneta, 2022. "Modern challenges of property market analysis- homogeneous areas determination," Land Use Policy, Elsevier, vol. 119(C).
    2. Elżbieta Jasińska & Edward Preweda & Piotr Łazarz, 2023. "Renewable Energy Sources in the Residential Property Market, Exemplified by the City of Krakow (Poland)," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    3. Sebastian Kokot, 2021. "Primary Housing Market in the Context of Wages and Creditworthiness in Selected Cities in Poland in the Years 2006-2019," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 1025-1040.

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    More about this item

    Keywords

    real estate market; economy; segmentation; cluster analysis; development; Ward's method; Euclidean distance;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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