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The Spanish housing market: is it fundamentally broken?

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  • Juan Carlos Cuestas
  • Merike Kukk

Abstract

This paper aims to investigate the relationship between housing prices and their main fundamental determinants using the example of Spain and considering the possibility of structural breaks in the relationship. We find that the cointegrating coefficient estimates are quite unstable over 2001Q1-2017Q4 and need to be estimated for different subperiods. Specifically we find that the main long-run fundamentals explain the behaviour of equilibrium house prices well during the boom-bust period. However, only corporate profit, or capital income, seems to explain the evolution after the recovery from the recession.

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  • Juan Carlos Cuestas & Merike Kukk, 2020. "The Spanish housing market: is it fundamentally broken?," Applied Economics Letters, Taylor & Francis Journals, vol. 27(15), pages 1295-1299, September.
    • Handle: RePEc:taf:apeclt:v:27:y:2020:i:15:p:1295-1299
    DOI: 10.1080/13504851.2019.1677844
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    References listed on IDEAS

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    1. Mikhed, Vyacheslav & Zemcík, Petr, 2009. "Do house prices reflect fundamentals? Aggregate and panel data evidence," Journal of Housing Economics, Elsevier, vol. 18(2), pages 140-149, June.
    2. repec:arz:wpaper:eres2009-275 is not listed on IDEAS
    3. Cuestas, Juan Carlos, 2017. "House prices and capital inflows in Spain during the boom: Evidence from a cointegrated VAR and a structural Bayesian VAR," Journal of Housing Economics, Elsevier, vol. 37(C), pages 22-28.
    4. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
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    6. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    7. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    9. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    10. Jushan Bai & Pierre Perron, 2003. "Critical values for multiple structural change tests," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 72-78, June.
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    12. Ms. Nan Geng, 2018. "Fundamental Drivers of House Prices in Advanced Economies," IMF Working Papers 2018/164, International Monetary Fund.
    13. Gimeno, Ricardo & Martí­nez-Carrascal, Carmen, 2010. "The relationship between house prices and house purchase loans: The Spanish case," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1849-1855, August.
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    Cited by:

    1. Juan Carlos Cuestas & Merike Kukk & Natalia Levenko, 2023. "Misalignments in house prices and economic growth in Europe," Applied Economics, Taylor & Francis Journals, vol. 55(28), pages 3215-3237, June.
    2. Paulo M.M. Rodrigues & Rita Fradique Lourenço & Robert Hill, 2020. "House price forecasting and uncertainty: Examining Portugal and Spain," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    3. Juan Carlos Cuestas & Mercedes Monfort, 2021. "Co-movement between residential and commercial housing prices: evidence from a new database," Applied Economics Letters, Taylor & Francis Journals, vol. 28(5), pages 402-407, March.
    4. Juan Carlos Cuestas & Mercedes Monfort & Javier Ordóñez, 2022. "House prices in Spain: Is it always sunny and warm?," Working Papers 2022/07, Economics Department, Universitat Jaume I, Castellón (Spain).

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    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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