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Clustered housing cycles

Author

Listed:
  • Ruben Hernandez-Murillo
  • Michael T. Owyang
  • Margarita Rubio
Abstract
Using a panel of U.S. city-level building permits data, we estimate a Markov-switching model of housing cycles that allows cities to systematically deviate from the national housing cycle. These deviations occur for clusters of cities that experience simultaneous housing contractions. We find that cities do not form housing regions in the traditional geographic sense. Instead, similarities in factors affecting the demand for housing (such as population growth or availability of credit) appear to be more important determinants of cyclical co-movements than similarities in factors affecting the supply for land (such as the availability of developable land or the elasticity of land supply).

Suggested Citation

  • Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers 2013-021, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2013-021
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    References listed on IDEAS

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    Cited by:

    1. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    2. Stig Vinther Møller & Thomas Pedersen & Erik Christian Montes Schütte & Allan Timmermann, 2024. "Search and Predictability of Prices in the Housing Market," Management Science, INFORMS, vol. 70(1), pages 415-438, January.
    3. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    4. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    5. Choi, Chi-Young & Hansz, J. Andrew, 2021. "From banking integration to housing market integration - Evidence from the comovement of U.S. Metropolitan House Prices," Journal of Financial Stability, Elsevier, vol. 54(C).
    6. Fontana, Alessandro & Corradin, Stefano, 2013. "House price cycles in Europe," Working Paper Series 1613, European Central Bank.
    7. Michael Funke & Petar Mihaylovski & Adrian Wende, 2018. "Out of Sync Subnational Housing Markets and Macroprudential Policies," CESifo Working Paper Series 6887, CESifo.
    8. Coroneo, Laura & Jackson, Laura E. & Owyang, Michael T., 2020. "International Stock Comovements with Endogenous Clusters," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    9. Prüser, Jan & Schmidt, Torsten, 2021. "Regional composition of national house price cycles in the US," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    10. Vinci, Sabato & Bartolacci, Francesca & Salvia, Rosanna & Salvati, Luca, 2022. "Housing markets, the great crisis, and metropolitan gradients: Insights from Greece, 2000–2014," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    11. Prüser, Jan & Schmidt, Torsten, 2020. "Regional composition of national house price cycles in the US," Ruhr Economic Papers 853, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    13. Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Forecasting Growth-at-Risk of the United States: Housing Price versus Housing Sentiment or Attention," Working Papers 202401, University of Pretoria, Department of Economics.
    14. Michael Funke & Petar Mihaylovski & Adrian Wende, 2021. "Out of Sync Subnational Housing Markets and Macroprudential Policies in the UK," De Economist, Springer, vol. 169(4), pages 445-467, November.
    15. Lasse Bork & Stig V. Møller & Thomas Q. Pedersen, 2020. "A New Index of Housing Sentiment," Management Science, INFORMS, vol. 66(4), pages 1563-1583, April.
    16. Bhatt, Vipul & Kishor, N. Kundan, 2021. "(A)Synchronous Housing Markets of Global Cities," MPRA Paper 107175, University Library of Munich, Germany.

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    More about this item

    Keywords

    Business cycles; Housing; Economic indicators;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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