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Supply, Demand and Asymmetric Adjustment of House Prices in Poland

Author

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  • Gluszak Michal

    (Cracow University of Economics, ul. Rakowicka 27, 31-510 Cracow, Poland)

  • Trojanek Radoslaw

    (Poznań University of Economics and Business, Al. Niepodległości 10, 61-875 Poznań, Poland)

Abstract

In recent years, a lot of empirical effort has been made to search for potential nonlinear responses of house prices to various demand and supply factors. This paper examines Poland's heterogeneous regional housing market reactions to key economic variables from 2000 to 2022. The study raises two research questions related to the asymmetric adjustment of housing markets to selected demand and supply shocks. Firstly, we ask whether the house price adjustments to negative shocks are relatively minor (for example, during an economic downturn) when compared to positive shocks (prevalent in booming markets), mainly due to the loss aversion behavior theory and nominal rigidity of house prices. In particular, we test the hypothesis that house prices react more to positive impulses from supply and demand than negative ones. Secondly, we investigate whether market reactions are similar for large and small metropolitan markets. The second hypothesis posits that metropolitan housing markets adjust asymmetrically to demand and supply shocks based on the city size (population and housing stock in a given city). The study uses a nonlinear ARDL model to test the research hypotheses empirically. This paper provides new insights into the nonlinear reactions of house prices to exogenous shocks and adds to the limited empirical evidence from less developed economies.

Suggested Citation

  • Gluszak Michal & Trojanek Radoslaw, 2024. "Supply, Demand and Asymmetric Adjustment of House Prices in Poland," Real Estate Management and Valuation, Sciendo, vol. 32(2), pages 31-45.
  • Handle: RePEc:vrs:remava:v:32:y:2024:i:2:p:31-45:n:1003
    DOI: 10.2478/remav-2024-0013
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    References listed on IDEAS

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    1. Atif Mian & Amir Sufi, 2011. "House Prices, Home Equity-Based Borrowing, and the US Household Leverage Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 2132-2156, August.
    2. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    3. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    4. Armstrong, Jed & Skilling, Hayden & Yao, Fang, 2019. "Loan-to-value ratio restrictions and house prices: Micro evidence from New Zealand," Journal of Housing Economics, Elsevier, vol. 44(C), pages 88-98.
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    More about this item

    Keywords

    asymmetric adjustment; house prices; demand shock; supply shock;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • 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

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