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Housing collateral and the monetary transmission mechanism

Author

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  • Walentin, Karl

    () (Research Department, Central Bank of Sweden)

  • Sellin, Peter

    () (Monetary Policy Department, Central Bank of Sweden)

Abstract

In this paper our main aim is to quantify the role that housing collateral plays for the monetary transmission mechanism. Furthermore, we want to explore the implications of the increase in household indebtedness, and specifically the loan-to-value ratio, in the last two decades. We set up a two sector DSGE model with production of goods and housing. Households can only borrow by using their houses as collateral. The structure of the model closely follows Iacoviello and Neri (2010). To be able to do quantitatively relevant exercises we estimate the model using Bayesian methods on Swedish data for 1986q1-2008q3. We quantify the reinforcement of the monetary transmission mechanism that housing used as collateral implies in the presence of nominal loan contracts. This mechanism functions through the effects of the interest rate on house prices as well as on inflation and thereby the real value of nominal debt. This component of the monetary transmission mechanism becomes stronger the higher the loan-to-value ratio is. A change in the maximum loan-to-value ratio from 85% to 95%, all else being equal, implies that the effect of a monetary policy shock is increased by 4% for inflation, 8% for GDP and 24% for consumption. We conclude that to properly understand the monetary transmission mechanism and its changing nature over time, we need to take into account the effects of housing related collateral constraints.

Suggested Citation

  • Walentin, Karl & Sellin, Peter, 2010. "Housing collateral and the monetary transmission mechanism," Working Paper Series 239, Sveriges Riksbank (Central Bank of Sweden).
  • Handle: RePEc:hhs:rbnkwp:0239
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    Cited by:

    1. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2017. "Expectations-driven cycles in the housing market," Economic Modelling, Elsevier, vol. 60(C), pages 297-312.
    2. Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2018. "Changing credit limits, changing business cycles," European Economic Review, Elsevier, vol. 102(C), pages 211-239.
    3. Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2014. "Identification of financial factors in economic fluctuations," Working Paper 2014/09, Norges Bank.
    4. Caterina Mendicino, 2012. "Collateral Requirements: Macroeconomic Fluctuations and Macro-Prudential Policy," Working Papers w201211, Banco de Portugal, Economics and Research Department.
    5. Walentin, Karl, 2014. "Business cycle implications of mortgage spreads," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 62-77.
    6. Paolo Gelain & Kevin J. Lansing & Caterina Mendicino, 2013. "House Prices, Credit Growth, and Excess Volatility: Implications for Monetary and Macroprudential Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 219-276, June.
    7. Funke, Michael & Paetz, Michael, 2013. "Housing prices and the business cycle: An empirical application to Hong Kong," Journal of Housing Economics, Elsevier, vol. 22(1), pages 62-76.
    8. Jiaqian Chen & Francesco Columba, 2016. "Macroprudential and Monetary Policy Interactions in a DSGE Model for Sweden," IMF Working Papers 16/74, International Monetary Fund.
    9. repec:eee:dyncon:v:86:y:2018:i:c:p:1-48 is not listed on IDEAS
    10. Iversen, Jens & Laséen, Stefan & Lundvall, Henrik & Söderström, Ulf, 2016. "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," Working Paper Series 318, Sveriges Riksbank (Central Bank of Sweden).
    11. Cantelmo, Alessandro & Melina, Giovanni, 2018. "Monetary policy and the relative price of durable goods," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 1-48.
    12. Hamed Ghiaie, 2018. "Shadow Bank run: The Story of a Recession," THEMA Working Papers 2018-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    13. Matteo Iacoviello, 2014. "Macroeconomics of housing," Chapters,in: The Global Financial Crisis and Housing, chapter 2, pages 21-39 Edward Elgar Publishing.
    14. Jan Bruha & Michal Hlavacek & Lubos Komarek, 2013. "Impacts of housing prices on the financial position of households," Occasional Publications - Chapters in Edited Volumes,in: CNB Financial Stability Report 2012/2013, chapter 0, pages 120-127 Czech National Bank, Research Department.
    15. Rima Turk, 2015. "Housing Price and Household Debt Interactions in Sweden," IMF Working Papers 15/276, International Monetary Fund.

    More about this item

    Keywords

    House prices; residential investment; monetary policy; monetary transmis- sion mechanism; collateral constraints; Bayesian estimation;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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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