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Credit Supply and the Price of Housing

Author

Listed:
  • Jean Imbs

    (Paris School of Economics)

  • Giovanni Favara

    (International Monetary Fund)

Abstract
We show that since 1994, branching deregulations in the U.S have Âsignificantly affected the supply of mortgage credit, and ultimately house prices. With deregulation, the number and volume of originated mortgage loans increase, while denial rates fall. But the deregulation has no effect on a placebo sample, formed of independent mortgage companies that should not be affected by the regulatory change. This sharpens the causal interpretation of our results. Deregulation boosts the supply of mortgage credit, which has significant end effects on house prices. We find evidence house prices rise with branching deregulation, particularly so in Metropolitan Areas where construction is inelastic for topographic reasons. There is also evidence the fall in house prices after 2006 is most pronounced in least regulated states. We document these results in a large sample of counties across the U.S. We also focus on a reduced cross-section formed by counties on each side of a state border, where a regression discontinuity approach is possible. Our conclusions are strengthened.

Suggested Citation

  • Jean Imbs & Giovanni Favara, 2011. "Credit Supply and the Price of Housing," 2011 Meeting Papers 1342, Society for Economic Dynamics.
    • Handle: RePEc:red:sed011:1342
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    References listed on IDEAS

    as
    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    2. Giovanni Favara & Jean Imbs, 2015. "Credit Supply and the Price of Housing," American Economic Review, American Economic Association, vol. 105(3), pages 958-992, March.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Jayaratne, Jith & Strahan, Philip E, 1998. "Entry Restrictions, Industry Evolution, and Dynamic Efficiency: Evidence from Commercial Banking," Journal of Law and Economics, University of Chicago Press, vol. 41(1), pages 239-273, April.
    5. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, July.
    6. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    7. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    8. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    9. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. Atif Mian & Amir Sufi, 2011. "House Prices, Home Equity-Based Borrowing, and the US Household Leverage Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 2132-2156, August.
    12. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    13. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    14. Giovanni Dell’ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 367-384, March.
    15. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    16. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    17. Edward L. Glaeser & Joshua D. Gottlieb & Joseph Gyourko, 2012. "Can Cheap Credit Explain the Housing Boom?," NBER Chapters, in: Housing and the Financial Crisis, pages 301-359, National Bureau of Economic Research, Inc.
    18. Sandra E. Black & Philip E. Strahan, 2002. "Entrepreneurship and Bank Credit Availability," Journal of Finance, American Finance Association, vol. 57(6), pages 2807-2833, December.
    19. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    20. Edward L. Glaeser & Joseph Gyourko, 2007. "Arbitrage in Housing Markets," NBER Working Papers 13704, National Bureau of Economic Research, Inc.
    21. Stiroh, Kevin J & Strahan, Philip E, 2003. "Competitive Dynamics of Deregulation: Evidence from U.S. Banking," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 801-828, October.
    22. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    23. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    24. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Huang, Rocco R., 2008. "Evaluating the real effect of bank branching deregulation: Comparing contiguous counties across US state borders," Journal of Financial Economics, Elsevier, vol. 87(3), pages 678-705, March.
    26. Randall S. Kroszner & Philip E. Strahan, 1999. "What Drives Deregulation? Economics and Politics of the Relaxation of Bank Branching Restrictions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(4), pages 1437-1467.
    27. repec:hal:pseose:hal-01301589 is not listed on IDEAS
    28. Donald P. Morgan & Bertrand Rime & Philip E. Strahan, 2004. "Bank Integration and State Business Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(4), pages 1555-1584.
    29. Joseph Gyourko & Albert Saiz & Anita Summers, 2008. "A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index," Urban Studies, Urban Studies Journal Limited, vol. 45(3), pages 693-729, March.
    30. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 307-362.
    31. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
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    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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