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–Nonrecourse Mortgage and Housing Price Boom, Bust, and Rebound

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  • Te Bao
  • Li Ding

Abstract

This paper investigates the impact of non-recourse vs. recourse mortgages on housing price dynamics in major US metropolitan statistical areas for the period from 2000 to 2013. We find evidence that non-recourse states experience faster price growth during the boom period (2000-2006), a sharper price drop during the bust period (2006-2009) and faster price recovery in the rebound period after a crisis (2009-2013). Moreover, the volatility of housing prices is higher in non-recourse states than in recourse states, particularly during the rebound period.
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  • Te Bao & Li Ding, 2016. "–Nonrecourse Mortgage and Housing Price Boom, Bust, and Rebound," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 44(3), pages 584-605, July.
    • Handle: RePEc:bla:reesec:v:44:y:2016:i:3:p:584-605
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    File URL: http://hdl.handle.net/10.1111/reec.2016.44.issue-3
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    1. Case, Karl E. & Mayer, Christopher J., 1996. "Housing price dynamics within a metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 387-407, June.
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    5. Berkowitz, Jeremy & Hynes, Richard, 1999. "Bankruptcy Exemptions and the Market for Mortgage Loans," Journal of Law and Economics, University of Chicago Press, vol. 42(2), pages 809-830, October.
    6. Charles W. Calomiris & Stanley D. Longhofer & William Miles, 2008. "The Foreclosure-House Price Nexus: Lessons from the 2007-2008 Housing Turmoil," NBER Working Papers 14294, National Bureau of Economic Research, Inc.
    7. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
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    Cited by:

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    2. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2020. "Heuristic Switching Model and Exploration-Exploitation Algorithm to Describe Long-Run Expectations in LtFEs: a Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 623-658, October.
    3. Reed, Robert R. & LaRue, Amanda & Ume, Ejindu S., 2018. "Mortgage recourse provisions and housing prices," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 99-111.
    4. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    5. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 491-520, September.
    6. Chen-Yin Lee & Pao-Huan Chen & Yen-Kuang Lin, 2021. "An Exploratory Study of the Association between Housing Price Trends and Antidepressant Use in Taiwan: A 10-Year Population-Based Study," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    7. Chenzi Yang & Fernando Moreira & Thomas Welsh Archibald, 2023. "Community banks' capital requirements and regional housing tenure," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 723-746, December.
    8. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.

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