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Do bankers prefer married couples?


  • Marion Leturcq

    () (CREST - Centre de Recherche en Économie et Statistique - INSEE - ENSAE ParisTech - École Nationale de la Statistique et de l'Administration Économique, PSE - Paris School of Economics)


Are married couples more credit constrained than unmarried households? If the cost of separation increases the risk of default, banks might be willing to lend to stable couples. In presence of incomplete information, marriage could be used as a signal of the quality of the match. This paper investigates the link between marriage and credit constraints. I use matching methods to evaluate the impact of marriage on credit constraints. I find that married couples are more likely to be approved for their loan, but they bear higher costs of credit. The differences between married and unmarried couples can be attributed to selection in the marriage rather than to discrimination against unmarried couples.

Suggested Citation

  • Marion Leturcq, 2011. "Do bankers prefer married couples?," Working Papers halshs-00655584, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00655584
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    References listed on IDEAS

    1. Michael J. Brien & Lee A. Lillard & Steven Stern, 2006. "Cohabitation, Marriage, And Divorce In A Model Of Match Quality," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 451-494, May.
    2. Betsey Stevenson & Justin Wolfers, 2007. "Marriage and Divorce: Changes and their Driving Forces," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 27-52, Spring.
    3. Cox, Donald & Jappelli, Tullio, 1993. "The Effect of Borrowing Constraints on Consumer Liabilities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(2), pages 197-213, May.
    4. Tullio Jappelli & Jörn-Steffen Pischke & Nicholas S. Souleles, 1998. "Testing For Liquidity Constraints In Euler Equations With Complementary Data Sources," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 251-262, May.
    5. Dwight M. Jaffee & Thomas Russell, 1984. "Imperfect Information, Uncertainty, and Credit Rationing: A Reply," The Quarterly Journal of Economics, Oxford University Press, vol. 99(4), pages 869-872.
    6. Duca, John V. & Rosenthal, Stuart S., 1994. "Borrowing constraints and access to owner-occupied housing," Regional Science and Urban Economics, Elsevier, vol. 24(3), pages 301-322, June.
    7. Midori Wakabayashi & Charles Yuji Horioka, 2005. "Borrowing Constraints and Consumption Behavior in Japan," ISER Discussion Paper 0640, Institute of Social and Economic Research, Osaka University.
    8. Patrick Kline, 2011. "Oaxaca-Blinder as a Reweighting Estimator," American Economic Review, American Economic Association, vol. 101(3), pages 532-537, May.
    9. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 01 Feb 2018.
    10. Ke Chen Chen & Mali Chivakul, 2008. "What Drives Household Borrowing and Credit Constraints? Evidence from Bosnia and Herzegovina," IMF Working Papers 08/202, International Monetary Fund.
    11. Tullio Jappelli, 1990. "Who is Credit Constrained in the U. S. Economy?," The Quarterly Journal of Economics, Oxford University Press, vol. 105(1), pages 219-234.
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    Cited by:

    1. Marion Leturcq, 2011. "Competing marital contracts? The marriage after civil union in France," Working Papers halshs-00655585, HAL.

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    marriage; credit constraints; signal; matching estimator;

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