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The “housing bubble” and financial factors: Insights from a structural model of the French and Spanish residential markets

Author

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  • Antipa, P.
  • Lecat, R.

Abstract

Over the last decade, France and Spain have experienced property price and residential investment increases which were among the strongest and the lengthiest in the euro area. Although the quality of the underlying data limits the precision of the estimates, the present paper aims at analysing the fundamental factors behind these evolutions. The analysis presented here assesses whether the observed price dynamics may be attributed to a pure expectation bubble phenomenon or to the large changes in financial and demographic factors. This is done by means of a structural model of the demand and supply sides of the housing market with an error-correction process. When taking into account a standard set of macroeconomic variables, our estimates imply that residential property prices in France and Spain were approximately 20% above the level explained by their fundamentals. When demographic and financial factors such as the borrowing capacity are taken on board, the degree of overvaluation is drastically reduced. The adjustment path to equilibrium is slightly faster in France than in Spain, but both countries display significant downward rigidity in prices.

Suggested Citation

  • Antipa, P. & Lecat, R., 2009. "The “housing bubble” and financial factors: Insights from a structural model of the French and Spanish residential markets," Working papers 267, Banque de France.
  • Handle: RePEc:bfr:banfra:267
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    Citations

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    Cited by:

    1. Vincent Grossmann-Wirth & Sophie Rivaud & Stéphane Sorbe, 2010. "Comprendre la formation de la bulle immobilière américaine et son éclatement," Économie et Statistique, Programme National Persée, vol. 438(1), pages 151-171.
    2. Emmanuelle Lavallée & Vincent Vicard, 2013. "National borders matterwhere one draws the lines too," Canadian Journal of Economics, Canadian Economics Association, vol. 46(1), pages 135-153, February.
    3. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
    4. Nobili, Andrea & Zollino, Francesco, 2017. "A structural model for the housing and credit market in Italy," Journal of Housing Economics, Elsevier, vol. 36(C), pages 73-87.
    5. Kajuth, Florian, 2020. "The German housing market cycle: Answers to FAQs," Discussion Papers 20/2020, Deutsche Bundesbank.
    6. Xiaoping Zhou & Zhenyang Qin & Yingjie Zhang & Linyi Zhao & Yan Song, 2019. "Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    7. Jung, Hosung & Lee, Jieun, 2017. "The effects of macroprudential policies on house prices: Evidence from an event study using Korean real transaction data," Journal of Financial Stability, Elsevier, vol. 31(C), pages 167-185.
    8. Hyun Jeong Kim & Jong Chil Son & Myung-Soo Yie, 2017. "House Price Dynamics with Household Debt: The Korean Case-super-," Asian Economic Journal, East Asian Economic Association, vol. 31(1), pages 39-59, March.
    9. Christian Tutin, 2010. "Qu'est-il arrivé aux marchés du logement ?," Post-Print hal-01811775, HAL.
    10. Zhu, Bing & Betzinger, Michael & Sebastian, Steffen, 2017. "Housing market stability, mortgage market structure, and monetary policy: Evidence from the euro area," Journal of Housing Economics, Elsevier, vol. 37(C), pages 1-21.

    More about this item

    Keywords

    House prices ; Housing demand; Borrowing capacity ; Residential Investment ; Error correction model ; Instrumental variables.;
    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
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • 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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