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Panel analysis of home prices in the primary and secondary market in 17 largest cities in Poland

In: Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis, 2013

Author

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  • Krzysztof Olszewski
  • Robert Leszczyński

Abstract

We analyse the determinants of house prices in the primary and secondary market of 17 largest cities in Poland during the 2002-2013 period. We find that prices are driven by economic fundamentals, such as income growth or rise in employment. Prices in the secondary market react to increases in the loan availability, that was driven by low interest rates resulting from FX denominated housing loans that were granted since 2006. This finding does not hold for the primary market, which is to a large extent financed with cash. We confirm empirically that the house appreciation in the past period has a strong effect on the current price, which confirms herding behaviour in the housing market. Another finding is that the secondary market has a stronger effect on the primary market than the other way around. This means that housing demand is satisfied in the first place from the secondary market, and if prices rise, potential buyers go to the primary market. Finally, we find that price increases in Warsaw spill over to the local markets of 16 regional cities. This finding is consistent with the contagion theory in the real estate market, according to which price increases in the centre lead to price increases in the periphery.

Suggested Citation

  • Krzysztof Olszewski & Robert Leszczyński, 2013. "Panel analysis of home prices in the primary and secondary market in 17 largest cities in Poland," Chapters from NBP Conference Publications, in: Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski (ed.), Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis, 2013, chapter 12, pages 39-71, Narodowy Bank Polski.
  • Handle: RePEc:nbp:nbpchp:12
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    References listed on IDEAS

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    1. Dan Andrews, 2010. "Real House Prices in OECD Countries: The Role of Demand Shocks and Structural and Policy Factors," OECD Economics Department Working Papers 831, OECD Publishing.
    2. Vansteenkiste, Isabel & Hiebert, Paul, 2011. "Do house price developments spillover across euro area countries? Evidence from a global VAR," Journal of Housing Economics, Elsevier, vol. 20(4), pages 299-314.
    3. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    4. Fernando Ferreira & Joseph Gyourko, 2011. "Anatomy of the Beginning of the Housing Boom: U.S. Neighborhoods and Metropolitan Areas, 1993-2009," NBER Working Papers 17374, National Bureau of Economic Research, Inc.
    5. Gavin Cameron & John Muellbauer & Anthony Murphy, 2006. "Was There A British House Price Bubble? Evidence From A Regional Panel," ERES eres2006_150, European Real Estate Society (ERES).
    6. Rangan Gupta & Christophe André & Luis Gil-Alana, 2015. "Comovement in Euro area housing prices: A fractional cointegration approach," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3123-3143, December.
    7. Catherine Bruneau & Olivier de Bandt & Karim Barhoumi, 2010. "The International Transmission of House Price Shocks," PSE-Ecole d'économie de Paris (Postprint) hal-00665531, HAL.
    8. G. Donald Jud & Dan T. Winkler, 2002. "The Dynamics of Metropolitan Housing Prices," Journal of Real Estate Research, American Real Estate Society, vol. 23(1/2), pages 29-46.
    9. Augustyniak, Hanna & Gajewski, Krzysztof & Łaszek, Jacek & Żochowski, Grzegorz, 2012. "Real estate development enterprises in the Polish market and issues related to its analysis," MPRA Paper 43347, University Library of Munich, Germany.
    10. Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk, 2013. "Housing market cycles – a disequilibrium model and its application to the primary housing market in Warsaw," Chapters from NBP Conference Publications, in: Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski (ed.), Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis, 2013, chapter 11, pages 5-38, Narodowy Bank Polski.
    11. Hanna Augustyniak & Laszek Jacek & Krzysztof Olszewski & Joanna Waszczuk, 2013. "Modelling of cycles in the residential real estate market – interactions between the primary and the secondary market and multiplier effects," NBP Working Papers 143, Narodowy Bank Polski.
    12. Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk, 2013. "To Rent or to Buy – Analysis of Housing Tenure Choice Determined by Housing Policy," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 33.
    13. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    14. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    15. Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
    16. Grażyna Baldowska & Robert Leszczyński & Barbara Myszkowska, 2014. "Convergence and differentiation processes in local markets and structural changes (comparison of 16 markets in Poland)," NBP Working Papers 174, Narodowy Bank Polski.
    17. Ms. Deniz O Igan & Mr. Prakash Loungani, 2012. "Global Housing Cycles," IMF Working Papers 2012/217, International Monetary Fund.
    18. Widłak, Marta & Waszczuk, Joanna & Olszewski, Krzysztof, 2014. "Spatial and hedonic analysis of house price dynamics in Warsaw," MPRA Paper 60479, University Library of Munich, Germany.
    19. Fry, J. M., 2009. "Bubbles and contagion in English house prices," MPRA Paper 17687, University Library of Munich, Germany.
    20. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    21. Łaszek, Jacek, 2013. "Housing in consumer’s theory," MPRA Paper 52365, University Library of Munich, Germany.
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    Cited by:

    1. Krzysztof Olszewski & Hanna Augustyniak & Jacek Laszek & Robert Leszczynski & Joanna Waszczuk, 2016. "On the dynamics of the primary housing market and the forecasting of house prices," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41, Bank for International Settlements.
    2. Żelazowski Konrad, 2019. "Price Convergence in the Regional Housing Markets in Poland," Real Estate Management and Valuation, Sciendo, vol. 27(2), pages 44-52, June.
    3. Krzysztof DRACHAL, 2015. "Cointegration of Property Prices in Poland," Expert Journal of Economics, Sprint Investify, vol. 3(1), pages 1-4.

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    More about this item

    Keywords

    housing market; house prices; primary and secondary market; spillover effects;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • 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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