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The Czech Housing Market Through the Lens of a DSGE Model Containing Collateral-Constrained Households

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  • Jan Bruha
  • Jaromir Tonner

Abstract

We incorporate a housing market with liquidity-constrained households into the Czech National Bank's core forecasting model (g3) to analyze the relationship between housing market and aggregate fluctuations in a small open economy framework. We discuss the historical shock decomposition of house prices and interpret the results in the light of recent empirical work. For a wide range of model calibrations, the interaction between the housing market and the aggregate economy is weak and so the monetary policy implications of house price fluctuations for the Czech Republic are not strong. We interpret this – in line with recent empirical evidence – as an indication that the wealth effects stemming from house ownership are not significant in the Czech Republic. Nevertheless, we show that the collateral mechanism significantly improves the forecasting properties of the extended model, especially for private consumption. This indicates the importance of the collateral effect, which can be caused by assets other than houses.

Suggested Citation

  • Jan Bruha & Jaromir Tonner, 2014. "The Czech Housing Market Through the Lens of a DSGE Model Containing Collateral-Constrained Households," Working Papers 2014/09, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2014/09
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    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2014_09.pdf
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    References listed on IDEAS

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    1. Piazzesi, Monika & Schneider, Martin & Tuzel, Selale, 2007. "Housing, consumption and asset pricing," Journal of Financial Economics, Elsevier, vol. 83(3), pages 531-569, March.
    2. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    3. Tomura, Hajime, 2010. "International capital flows and expectation-driven boom-bust cycles in the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1993-2009, October.
    4. Ian Christensen & Paul Corrigan & Caterina Mendicino & Shin‐Ichi Nishiyama, 2016. "Consumption, housing collateral and the Canadian business cycle," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 207-236, February.
    5. Kartashova, Katya & Tomlin, Ben, 2017. "House prices, consumption and the role of non-Mortgage debt," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 121-134.
    6. Karl Walentin, 2014. "Housing Collateral and the Monetary Transmission Mechanism," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(3), pages 635-668, July.
    7. Tomura, Hajime, 2013. "Heterogeneous beliefs and housing-market boom-bust cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 735-755.
    8. Michal Andrle & Tibor Hledik & Ondra Kamenik & Jan Vlcek, 2009. "Implementing the New Structural Model of the Czech National Bank," Working Papers 2009/2, Czech National Bank.
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    Cited by:

    1. Mojmir Hampl & Tomas Havranek, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech Approach," Working Papers IES 2017/12, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2017.
    2. Tomas Havranek & Mojmir Hampl, 2017. "Should Inflation Measures Used by Central Banks Incorporate House Prices? The Czech National Bank's Approach," Research and Policy Notes 2017/01, Czech National Bank.
    3. Dominika Ehrenbergerova & Simona Malovana, 2019. "Introducing Macro-Financial Variables into a Semi-Structural Model," Working Papers 2019/6, Czech National Bank.
    4. Michal Franta, 2016. "Iterated Multi-Step Forecasting with Model Coefficients Changing Across Iterations," Working Papers 2016/05, Czech National Bank.
    5. Jan Filacek & Ivan Sutoris, 2019. "Inflation Targeting Flexibility: The CNB's Reaction Function under Scrutiny," Research and Policy Notes 2019/02, Czech National Bank.

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    More about this item

    Keywords

    Aggregate consumption; DSGE models; housing market;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • 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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