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Understanding Booms and Busts in Housing Markets

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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
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    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. Karl E. Case & Robert J. Shiller & Anne K. Thompson, 2012. "What Have They Been Thinking? Homebuyer Behavior in Hot and Cold Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 265-315.
    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. 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.
    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. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715R, Cowles Foundation for Research in Economics, Yale University, revised Jan 2010.
    7. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 379-406.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    13. 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.
    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. John Geanakoplos, 2010. "The Leverage Cycle," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 1-65, National Bureau of Economic Research, Inc.
    16. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    17. Daron Acemoglu & Victor Chernozhukov & Muhamet Yildiz, 2006. "Learning and Disagreement in an Uncertain World," NBER Working Papers 12648, National Bureau of Economic Research, Inc.
    18. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1799-1839.
    19. 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.
    20. Behzad T. Diba & Herschel I. Grossman, 1987. "On the Inception of Rational Bubbles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(3), pages 697-700.
    21. Martin Schneider & Monika Piazzesi, 2009. "Momentum traders in a search model of the housing market," 2009 Meeting Papers 1266, Society for Economic Dynamics.
    22. repec:bla:jfinan:v:59:y:2004:i:4:p:1481-1509 is not listed on IDEAS
    23. 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.
    24. Gadi Barlevy & Jonas D. M. Fisher, 2010. "Mortgage choices and housing speculation," Working Paper Series WP-2010-12, Federal Reserve Bank of Chicago.
    25. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
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    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

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