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Housing Dynamics Over The Business Cycle

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  • Finn E. Kydland
  • Peter Rupert
  • Roman Šustek

Abstract

Housing construction, measured by housing starts, leads GDP in a number of countries. Measured as residential investment, the lead is observed only in the United States and Canada; elsewhere, residential investment is coincident. Variants of existing theory, however, predict housing construction lagging GDP. In all countries in the sample, nominal interest rates are low ahead of GDP peaks. Introducing long‐term nominal mortgages, and an estimated process for nominal interest rates, into a standard model aligns the theory with observations on starts, as mortgages transmit nominal rates into real housing costs. Longer time to build makes residential investment cyclically coincident.

Suggested Citation

  • Finn E. Kydland & Peter Rupert & Roman Šustek, 2016. "Housing Dynamics Over The Business Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(4), pages 1149-1177, November.
    • Handle: RePEc:wly:iecrev:v:57:y:2016:i:4:p:1149-1177
    DOI: 10.1111/iere.12193
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    References listed on IDEAS

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    4. Gulan, Adam & Jokivuolle, Esa & Verona, Fabio, 2022. "Optimal bank capital requirements: What do the macroeconomic models say?," BoF Economics Review 2/2022, Bank of Finland.
    5. Miroslav Gabrovski & Victor Ortego-Marti, 2022. "Home Construction Financing and Search Frictions in the Housing Market," Working Papers 202217, University of California at Riverside, Department of Economics.
    6. Roman Sustek, 2021. "Yield curve and the business cycle in conventional times," Discussion Papers 2122, Centre for Macroeconomics (CFM).
    7. Pintus, Patrick A. & Wen, Yi & Xing, Xiaochuan, 2022. "The inverted leading indicator property and redistribution effect of the interest rate," European Economic Review, Elsevier, vol. 148(C).
    8. Bjoern Schulte-Tillman & Mawuli Segnon & Bernd Wilfling, 2022. "Financial-market volatility prediction with multiplicative Markov-switching MIDAS components," CQE Working Papers 9922, Center for Quantitative Economics (CQE), University of Muenster.
    9. Silvo, Aino & Verona, Fabio, 2020. "The Aino 3.0 model," Bank of Finland Research Discussion Papers 9/2020, Bank of Finland.
    10. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    11. Marcio Santetti, 2023. "A time-varying finance-led model for U.S. business cycles," Papers 2310.05153, arXiv.org, revised Jan 2024.
    12. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2021. "State dependence of monetary policy across business, credit and interest rate cycles," European Economic Review, Elsevier, vol. 140(C).
    13. Roman Sustek, 2022. "A Back-of-the-Envelope Analysis of House Prices: Czech Republic, 2013-2021," CERGE-EI Working Papers wp737, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    14. Roman Sustek, 2021. "A back-of-the-envelope analysis of house prices: Czech Republic, 2013-2021," Discussion Papers 2120, Centre for Macroeconomics (CFM).
    15. Barbieri Góes, Maria Cristina & Deleidi, Matteo, 2022. "Output determination and autonomous demand multipliers: An empirical investigation for the US economy," Economic Modelling, Elsevier, vol. 116(C).
    16. Jean‐François Rouillard, 2023. "Credit Crunch and Downward Nominal Wage Rigidities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(4), pages 889-914, June.

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