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The Real Effects of Credit Booms and Busts: A County-Level Analysis

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  • Simon Gilchrist

    (New York University)

Abstract

We use a comprehensive data set of home hortgage loan originations from HMDA matched with the banks’ income and balance sheet statements to analyze how fluctuations in the supply of mortgage credit affect county-level economic outcomes. To isolate fluctuations in the supply of mortgage credit, we use a variant of the shift-share identification approach of Greenstone et al. (2015), which exploits the fact that banks originate home mortgage loans across multiple coun- ties. Our results indicate that in “booms,” changes in the supply of home mortgage credit have no effect on a range of county-level economic outcomes, including house prices, employment, wages, and income. During “busts,” by contrast, a supply-induced contraction in mortgage lending has significant—in both economic and statistical terms—adverse effects on county-level economic performance: During the 2007–2010 period, counties that experienced a reduction in the supply of mortgage credit also saw large declines in house prices and building permits, a decline in the employment-population ratio, an increase in the unemployment rate, and a drop in average wages and income per capita. Consistent with the presence of financial frictions, the pullback in the supply of mortgage credit led to a particularly severe job losses at small and young firms.

Suggested Citation

  • Simon Gilchrist, 2018. "The Real Effects of Credit Booms and Busts: A County-Level Analysis," 2018 Meeting Papers 99, Society for Economic Dynamics.
  • Handle: RePEc:red:sed018:99
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Marcelo J. Moreira, 2003. "A Conditional Likelihood Ratio Test for Structural Models," Econometrica, Econometric Society, vol. 71(4), pages 1027-1048, July.
    3. Bassett, William F. & Chosak, Mary Beth & Driscoll, John C. & Zakrajšek, Egon, 2014. "Changes in bank lending standards and the macroeconomy," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 23-40.
    4. Gabriel Chodorow-Reich, 2014. "The Employment Effects of Credit Market Disruptions: Firm-level Evidence from the 2008-9 Financial Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 1-59.
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    Cited by:

    1. Donata Faccia & Giuseppe Corbisiero, 2020. "Firm or bank weakness? Access to finance since the European sovereign debt crisis," Trinity Economics Papers tep0320, Trinity College Dublin, Department of Economics.
    2. Bhattarai, Saroj & Schwartzman, Felipe & Yang, Choongryul, 2021. "Local scars of the US housing crisis," Journal of Monetary Economics, Elsevier, vol. 119(C), pages 40-57.
    3. Corbisiero, Giuseppe & Faccia, Donata, 2019. "Firms' or banks' weakness? Access to finance since the European sovereign debt crisis," Research Technical Papers 12/RT/19, Central Bank of Ireland.
    4. Alfaro, Laura & García-Santana, Manuel & Moral-Benito, Enrique, 2021. "On the direct and indirect real effects of credit supply shocks," Journal of Financial Economics, Elsevier, vol. 139(3), pages 895-921.
    5. Vojtech, Cindy M. & Kay, Benjamin S. & Driscoll, John C., 2020. "The real consequences of bank mortgage lending standards," Journal of Financial Intermediation, Elsevier, vol. 44(C).
    6. Albertazzi, Ugo & Barbiero, Francesca & Marqués-Ibáñez, David & Popov, Alexander & Rodriguez d’Acri, Costanza & Vlassopoulos, Thomas, 2020. "Monetary policy and bank stability: the analytical toolbox reviewed," Working Paper Series 2377, European Central Bank.
    7. Bremus, Franziska & Krause, Thomas & Noth, Felix, 2021. "Lender-specific mortgage supply shocks and macroeconomic performance in the United States," IWH Discussion Papers 3/2021, Halle Institute for Economic Research (IWH).
    8. Philipp Meinen & Ana Cristina Soares, 2022. "Markups and Financial Shocks," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2471-2499.
    9. Nuno Paixao, 2019. "Propagation of House Price Shocks through the Banking System," 2019 Meeting Papers 1237, Society for Economic Dynamics.
    10. Kalemli-Özcan, Sebnem, 2018. "Leverage over the Life Cycle and Implications for Firm Growth and Shock Responsiveness," CEPR Discussion Papers 13337, C.E.P.R. Discussion Papers.
    11. Franziska Bremus & Thomas Krause & Felix Noth, 2021. "Lender-Specific Mortgage Supply Shocks and Macroeconomic Performance in the United States," Discussion Papers of DIW Berlin 1936, DIW Berlin, German Institute for Economic Research.
    12. Emin Dinlersoz & Sebnem Kalemli-Ozcan & Henry Hyatt & Veronika Penciakova, 2018. "Leverage over the Firm Life-Cycle, Firm Growth, and Aggregate Fluctuations," NBER Working Papers 25226, National Bureau of Economic Research, Inc.
    13. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).

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