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Drivers of the great housing boom‐bust: Credit conditions, beliefs, or both?

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  • Josue Cox
  • Sydney C. Ludvigson

Abstract

Two potential driving forces of house price fluctuations are commonly cited: credit conditions and beliefs. We posit some simple empirical calculations using direct measures of credit conditions and beliefs to consider their potentially distinct roles in house price fluctuations at the aggregate level. Changes in credit conditions are positively related to the fraction of riskier nonconforming debt in total mortgage lending, while measures of beliefs are unrelated to this ratio. Credit conditions explain quantitatively large magnitudes of the variation in quarterly house price growth and also predict future house price growth. Beliefs bear some relation to contemporaneous house price growth but have little predictive power. A structural vector autoregression analysis implies that exogenous changes in credit conditions have quantitatively important dynamic causal effects on house price changes.

Suggested Citation

  • Josue Cox & Sydney C. Ludvigson, 2021. "Drivers of the great housing boom‐bust: Credit conditions, beliefs, or both?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(3), pages 843-875, September.
  • Handle: RePEc:bla:reesec:v:49:y:2021:i:3:p:843-875
    DOI: 10.1111/1540-6229.12303
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    1. Cindy K Soo, 2018. "Quantifying Sentiment with News Media across Local Housing Markets," The Review of Financial Studies, Society for Financial Studies, vol. 31(10), pages 3689-3719.
    2. Jack Favilukis & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2017. "The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk Sharing in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 140-223.
    3. Morris A. Davis, 2010. "housing and the business cycle," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    4. Tim Landvoigt & Monika Piazzesi & Martin Schneider, 2015. "The Housing Market(s) of San Diego," American Economic Review, American Economic Association, vol. 105(4), pages 1371-1407, April.
    5. Nuriddin Ikromov & Abdullah Yavas, 2012. "Asset Characteristics and Boom and Bust Periods: An Experimental Study," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(3), pages 603-636, September.
    6. Nobuhiro Kiyotaki & Alexander Michaelides & Kalin Nikolov, 2011. "Winners and Losers in Housing Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 255-296, March.
    7. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1449-1496.
    8. Mertens, Karel & Ravn, Morten O., 2014. "A reconciliation of SVAR and narrative estimates of tax multipliers," Journal of Monetary Economics, Elsevier, vol. 68(S), pages 1-19.
    9. Iacoviello, Matteo & Pavan, Marina, 2013. "Housing and debt over the life cycle and over the business cycle," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 221-238.
    10. 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.
    11. Greg Kaplan & Kurt Mitman & Giovanni L. Violante, 2020. "The Housing Boom and Bust: Model Meets Evidence," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3285-3345.
    12. Manuel Adelino & Antoinette Schoar & Felipe Severino, 2016. "Editor's Choice Loan Originations and Defaults in the Mortgage Crisis: The Role of the Middle Class," The Review of Financial Studies, Society for Financial Studies, vol. 29(7), pages 1635-1670.
    13. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    14. Carlos Garriga & Aaron Hedlund, 2020. "Mortgage Debt, Consumption, and Illiquid Housing Markets in the Great Recession," American Economic Review, American Economic Association, vol. 110(6), pages 1603-1634, June.
    15. Daniel Greenwald & Adam Guren, 2019. "Do Credit Conditions Move House Prices?," 2019 Meeting Papers 1334, Society for Economic Dynamics.
    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. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    18. Sommer, Kamila & Sullivan, Paul & Verbrugge, Randal, 2013. "The equilibrium effect of fundamentals on house prices and rents," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 854-870.
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    Cited by:

    1. 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).
    2. Margaret Jacobson, 2019. "Beliefs, Aggregate Risk, and the U.S. Housing Boom," 2019 Meeting Papers 1549, Society for Economic Dynamics.
    3. Guangyang Chen & Kai Dong & Shaonan Wang & Xiuli Du & Ronghua Zhou & Zhongwei Yang, 2022. "The Dynamic Relationship among Bank Credit, House Prices and Carbon Dioxide Emissions in China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    4. Tom Cusbert, 2023. "The Effect of Credit Constraints on Housing Prices: (Further) Evidence from a Survey Experiment," RBA Research Discussion Papers rdp2023-01, Reserve Bank of Australia.

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