IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16734.html
   My bibliography  Save this paper

Understanding Booms and Busts in Housing Markets

Author

Listed:
  • Craig Burnside
  • Martin Eichenbaum
  • Sergio Rebelo

Abstract

Some booms in housing prices are followed by busts. Others are not. It is generally difficult to find observable fundamentals that are useful for predicting whether a boom will turn into a bust or not. We develop a model consistent with these observations. Agents have heterogeneous expectations about long-run fundamentals but change their views because of “social dynamics.” Agents with tighter priors are more likely to convert others to their beliefs. Boom-bust episodes typically occur when skeptical agents happen to be correct. The booms that are not followed by busts typically occur when optimistic agents happen to be correct.

Suggested Citation

  • Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2011. "Understanding Booms and Busts in Housing Markets," NBER Working Papers 16734, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16734
    Note: AP EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16734.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brent W. Ambrose & Piet Eichholtz & Thies Lindenthal, 2013. "House Prices and Fundamentals: 355 Years of Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 477-491, March.
    2. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1253-1296.
    3. Darrell Duffie & Gaston Giroux & Gustavo Manso, 2010. "Information Percolation," American Economic Journal: Microeconomics, American Economic Association, vol. 2(1), pages 100-111, February.
    4. Edward L. Glaeser & Joseph Gyourko & Raven E. Saks, 2005. "Why Have Housing Prices Gone Up?," American Economic Review, American Economic Association, vol. 95(2), pages 329-333, May.
    5. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2009. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," Journal of Finance, American Finance Association, vol. 64(2), pages 579-629, April.
    6. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    7. Atif Mian & Amir Sufi, 2010. "The Great Recession: Lessons from Microeconomic Data," American Economic Review, American Economic Association, vol. 100(2), pages 51-56, May.
    8. Daron Acemoglu & Victor Chernozhukov & Muhamet Yildiz, 2006. "Learning and Disagreement in an Uncertain World," NBER Working Papers 12648, National Bureau of Economic Research, Inc.
    9. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    10. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2005. "Thy Neighbor's Portfolio: Word‐of‐Mouth Effects in the Holdings and Trades of Money Managers," Journal of Finance, American Finance Association, vol. 60(6), pages 2801-2824, December.
    11. Cormac O Grada & Morgan Kelly, 2000. "Market Contagion: Evidence from the Panics of 1854 and 1857," American Economic Review, American Economic Association, vol. 90(5), pages 1110-1124, December.
    12. Ortalo-Magne, Francois & Rady, Sven, 1999. "Boom in, bust out: Young households and the housing price cycle," European Economic Review, Elsevier, vol. 43(4-6), pages 755-766, April.
    13. Behzad T. Diba & Herschel I. Grossman, 1987. "On the Inception of Rational Bubbles," The Quarterly Journal of Economics, Oxford University Press, vol. 102(3), pages 697-700.
    14. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    15. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 1799-1839.
    16. Martin Schneider & Monika Piazzesi, 2009. "Momentum traders in a search model of the housing market," 2009 Meeting Papers 1266, Society for Economic Dynamics.
    17. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, August.
    18. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 379-406.
    19. Yongqiang Chu, 2014. "Credit constraints, inelastic supply, and the housing boom," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 52-69, January.
    20. John M. Quigley & Steven Raphael, 2005. "Regulation and the High Cost of Housing in California," American Economic Review, American Economic Association, vol. 95(2), pages 323-328, May.
    21. John Geanakoplos, 2010. "The Leverage Cycle," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 1-65, National Bureau of Economic Research, Inc.
    22. Gadi Barlevy & Jonas D. M. Fisher, 2010. "Mortgage choices and housing speculation," Working Paper Series WP-2010-12, Federal Reserve Bank of Chicago.
    23. repec:hrv:faseco:33078973 is not listed on IDEAS
    24. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, Oxford University Press, vol. 92(2), pages 323-336.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    2. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    3. Favara, Giovanni & Song, Zheng, 2014. "House price dynamics with dispersed information," Journal of Economic Theory, Elsevier, vol. 149(C), pages 350-382.
    4. Glaeser, Edward L. & Nathanson, Charles G., 2015. "Housing Bubbles," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 701-751, Elsevier.
    5. Edward L. Glaeser & Charles G. Nathanson, 2014. "Housing Bubbles," NBER Working Papers 20426, National Bureau of Economic Research, Inc.
    6. Laura A. Bakkensen & Lint Barrage, 2017. "Flood Risk Belief Heterogeneity and Coastal Home Price Dynamics: Going Under Water?," NBER Working Papers 23854, National Bureau of Economic Research, Inc.
    7. Elliot Anenberg & Patrick Bayer, 2020. "Endogenous Sources Of Volatility In Housing Markets: The Joint Buyer–Seller Problem," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1195-1228, August.
    8. Michael Bailey & Ruiqing Cao & Theresa Kuchler & Johannes Stroebel, 2016. "Social Networks and Housing Markets," NBER Working Papers 22258, National Bureau of Economic Research, Inc.
    9. Carlos J. Perez & Manuel Santos, 2017. "On the Dynamics of Speculation in a Model of Bubbles and Manias," Working Papers 2017-02, University of Miami, Department of Economics.
    10. Felipe S. Iachan & Plamen T. Nenov & Alp Simsek, 2021. "The Choice Channel of Financial Innovation," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 333-372, April.
    11. Davis, Morris A. & Van Nieuwerburgh, Stijn, 2015. "Housing, Finance, and the Macroeconomy," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 753-811, Elsevier.
    12. Wang, Hailong & Hu, Duni, 2021. "Heterogeneous beliefs with herding behaviors and asset pricing in two goods world," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    13. Saki Bigio & Eduardo Zilberman, 2020. "Speculation-Driven Business Cycles," Working Papers Central Bank of Chile 865, Central Bank of Chile.
    14. Zhenyu Gao & Michael Sockin & Wei Xiong, 2020. "Learning about the Neighborhood," NBER Working Papers 26907, National Bureau of Economic Research, Inc.
    15. Pedro Gete, 2015. "Housing demands, savings gluts and current account dynamics," Globalization Institute Working Papers 221, Federal Reserve Bank of Dallas.
    16. Cheng, Ing-Haw & Hsiaw, Alice, 2022. "Distrust in experts and the origins of disagreement," Journal of Economic Theory, Elsevier, vol. 200(C).
    17. Caines, Colin & Winkler, Fabian, 2021. "Asset price beliefs and optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 53-67.
    18. Luis Armona & Andreas Fuster & Basit Zafar, 2019. "Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment," Review of Economic Studies, Oxford University Press, vol. 86(4), pages 1371-1410.
    19. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
    20. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.

    More about this item

    JEL classification:

    • 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

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Canadian Macro Study Group

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:16734. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.