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Insight from a Time-Varying VAR Model with Stochastic Volatility of the French Housing and Credit Markets

Author

Listed:
  • S. Avouyi-Dovi
  • C. Labonne
  • R. Lecat
  • S. Ray

Abstract

Through a time-varying VAR model with drifting parameters and stochastic volatilities (Cogley and Sargent, 2005, Primiceri, 2005), we explore nonlinearities on the French housing and credit markets, which give rich insights on the persistent bubble of the 2000s. While the price increase took place during a period of low shock variance, shock persistence increased during this period, as well as the elasticity relative to demography and income. Low reactivity of the housing stock to housing prices may create construction bottlenecks and explain these nonlinearities. However, even though our framework is very flexible, part of the price increase remains unexplained.

Suggested Citation

  • S. Avouyi-Dovi & C. Labonne & R. Lecat & S. Ray, 2017. "Insight from a Time-Varying VAR Model with Stochastic Volatility of the French Housing and Credit Markets," Working papers 620, Banque de France.
  • Handle: RePEc:bfr:banfra:620
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    References listed on IDEAS

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    1. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    2. repec:dau:papers:123456789/13289 is not listed on IDEAS
    3. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019. "Large time‐varying parameter VARs: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
    4. Giovanni Dell’ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 367-384, March.
    5. François Ortalo-Magné & Sven Rady, 2006. "Housing Market Dynamics: On the Contribution of Income Shocks and Credit Constraints ," Review of Economic Studies, Oxford University Press, vol. 73(2), pages 459-485.
    6. Anne Sofie Jore & James Mitchell & Shaun P. Vahey, 2010. "Combining forecast densities from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 621-634.
    7. Giovanni Favara & Jean Imbs, 2015. "Credit Supply and the Price of Housing," American Economic Review, American Economic Association, vol. 105(3), pages 958-992, March.
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. Edward L. Glaeser & Joshua D. Gottlieb & Joseph Gyourko, 2012. "Can Cheap Credit Explain the Housing Boom?," NBER Chapters, in: Housing and the Financial Crisis, pages 301-359, National Bureau of Economic Research, Inc.
    10. Philipp Hartmann, 2015. "Real Estate Markets and Macroprudential Policy in Europe," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 69-80, March.
    11. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    12. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    13. Caldera, Aida & Johansson, Åsa, 2013. "The price responsiveness of housing supply in OECD countries," Journal of Housing Economics, Elsevier, vol. 22(3), pages 231-249.
    14. Kostas Tsatsaronis & Haibin Zhu, 2004. "What drives housing price dynamics: cross-country evidence," BIS Quarterly Review, Bank for International Settlements, March.
    15. Edward L. Glaeser, 2013. "A Nation of Gamblers: Real Estate Speculation and American History," American Economic Review, American Economic Association, vol. 103(3), pages 1-42, May.
    16. Todd E. Clark, 2011. "Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 327-341, July.
    17. John V. Duca & John Muellbauer & Anthony Murphy, 2011. "House Prices and Credit Constraints: Making Sense of the US Experience," Economic Journal, Royal Economic Society, vol. 121(552), pages 533-551, May.
    18. Todd E. Clark & Francesco Ravazzolo, 2015. "Macroeconomic Forecasting Performance under Alternative Specifications of Time‐Varying Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 551-575, June.
    19. 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.
    20. Pamfili Antipa & Rémy Lecat, 2013. "« Bulle immobilière » et politique d'octroi de crédits. Enseignements d'un modèle structurel du marché français de l'immobilier résidentiel," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(2), pages 163-187.
    21. 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.
    22. Landier, Augustin & Sraer, David & Thesmar, David, 2013. "Banking Deregulation and The Rise in House Price Comovement," TSE Working Papers 13-437, Toulouse School of Economics (TSE).
    23. James M. Poterba, 1984. "Tax Subsidies to Owner-Occupied Housing: An Asset-Market Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(4), pages 729-752.
    24. Edward L. Glaeser, 2013. "A Nation Of Gamblers: Real Estate Speculation And American History," NBER Working Papers 18825, National Bureau of Economic Research, Inc.
    25. Avouyi-Dovi, S. & Labonne, C. & Lecat, R., 2014. "The housing market: the impact of macroprudential measures in France," Financial Stability Review, Banque de France, issue 18, pages 195-206, April.
    26. Jonathan McCarthy & Richard Peach, 2002. "Monetary policy transmission to residential investment," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(May), pages 139-158.
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    Cited by:

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    2. Avouyi-Dovi, S. & Lecat, R. & Labonne, C., 2016. "The French housing market: what would be the impact of macroprudential measures?," Rue de la Banque, Banque de France, issue 26, june..
    3. Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
    4. Adam Altăr & Matei Nicolae Kubinschi & Alina Zaharia, 2021. "Uncovering the Dynamic Relationship between Credit and Sustainable Economic Growth in Selected CEE Countries," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    5. Ge, Futing & Zhang, Weiguo, 2022. "The determinants of cross-border bond risk premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    housing bubble; housing credit; housing demand; housing supply; time-varying VAR; stochastic volatility;
    All these keywords.

    JEL classification:

    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • 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

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