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Good Booms, Bad Booms

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  • Gary Gorton
  • Guillermo Ordoñez

Abstract

Credit booms are not rare and usually precede financial crises. However, some end in a crisis (bad booms) while others do not (good booms). We document that credit booms start with an increase in productivity, which subsequently falls much faster during bad booms. We develop a model in which crises happen when credit markets change to an information regime with careful examination of collateral. As this examination is more valuable when collateral backs projects with low productivity, crises become more likely during booms that display large productivity declines. As productivity decays over a boom as an endogenous result of more economic activity, a crisis may be the result of an exhausted boom and not necessarily of a negative productivity shock. We test the main predictions of the model and identify the component of productivity behind crises.

Suggested Citation

  • Gary Gorton & Guillermo Ordoñez, 2016. "Good Booms, Bad Booms," NBER Working Papers 22008, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:22008
    Note: AP CF EFG IFM ME
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    1. Thomas Chaney & David Sraer & David Thesmar, 2012. "The Collateral Channel: How Real Estate Shocks Affect Corporate Investment," American Economic Review, American Economic Association, vol. 102(6), pages 2381-2409, October.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. Stijn Claessens & M. Ayhan Kose & Marco E. Terrones, 2011. "Financial Cycles: What? How? When?," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 303-344.
    4. Bas B. Bakker & Giovanni Dell'Ariccia & Luc Laeven & Jérôme Vandenbussche & Deniz O Igan & Hui Tong, 2012. "Policies for Macrofinancial Stability; How to Deal with Credit Booms," IMF Staff Discussion Notes 12/06, International Monetary Fund.
    5. Blundell,Richard & Newey,Whitney & Persson,Torsten (ed.), 2007. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521692106.
    6. Mark Aguiar & Gita Gopinath, 2007. "Emerging Market Business Cycles: The Cycle Is the Trend," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 69-102.
    7. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    8. Blundell,Richard & Newey,Whitney & Persson,Torsten (ed.), 2007. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521871549.
    9. Portier, Franck & Beaudry, Paul & Galizia, Dana, 2015. "Reviving the Limit Cycle View of Macroeconomic Fluctuations," CEPR Discussion Papers 10645, C.E.P.R. Discussion Papers.
    10. Mr. Bas B. Bakker & Mr. Giovanni Dell'Ariccia & Mr. Luc Laeven & Mr. Jerome Vandenbussche & Ms. Deniz O Igan & Mr. Hui Tong, 2012. "Policies for Macrofinancial Stability: How to Deal with Credit Booms," IMF Staff Discussion Notes 2012/006, International Monetary Fund.
    11. Blundell,Richard & Newey,Whitney K. & Persson,Torsten (ed.), 2007. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521871532.
    12. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    13. Blundell,Richard & Newey,Whitney K. & Persson,Torsten (ed.), 2007. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521692090.
    14. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    15. Moses Abramovitz, 1956. "Resource and Output Trends in the United States since 1870," NBER Books, National Bureau of Economic Research, Inc, number abra56-1.
    16. Moses Abramovitz, 1956. "Resource and Output Trends in the United States since 1870," NBER Chapters, in: Resource and Output Trends in the United States since 1870, pages 1-23, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises
    • G1 - Financial Economics - - General Financial Markets

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