Abstract
The proportion of US households that used a high-cost credit product, payday loans, almost doubled between 2007 and 2013. In this study, we estimated the effect of credit constraints on the likelihood of using payday loans. Based on a logistic regression of data from the 2007–2013 Survey of Consumer Finances (SCF), we found that households with credit constraints were more likely to use payday loans than were those that did not experience such constraints, and that the effect was greater after the Great Recession. Over the survey years, having an emergency expense was the most important reason given for using a payday loan, but the rate at which other reasons were given varied over time. Paying bills/loans and having no other credit options were both reasons given more frequently following the Great Recession than in 2007.
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Notes
Sample sizes by survey year were as follows: 2007 (N = 4,418), 2010 (N = 6,482), and 2013 (N = 6,015).
The authors conducted a Chi-squared test for three pair-wise comparisons across the survey years, and all three were significant (p < .0001).
The authors conducted a chi-squared test for three pair-wise comparisons across the survey years, two of which (2007 vs. 2010, 2007 vs. 2013) were significant (p < .0001).
References
Agarwal, S., Gross, T., & Mazumder, B. (2016). How did the Great Recession affect payday loans? Economic Perspectives, 2, 1–12.
Barth, J. R., Hilliard, J., Jahera, J. S., & Sun, Y. (2015). Do state regulations affect payday lender concentration? Journal of Economics and Business, 84, 14–29. Retrieved from: 10.1016/j.jeconbus.2015.08.001.
Belsky, E., & Calder, A. (2004). Credit Matters: Low-income asset building challenges in a Dual Financial Service System. Joint Center for Housing Studies. Harvard University Working Paper Series.
Bertrand, M., & Morse, A. (2011). Information disclosure, cognitive bias, and payday borrowing. Journal of Finance, 66(6), 1865–1893.
Board of Governors of the Federal Reserve System. (2014). Federal Reserve Statistical Release G.19: Consumer Credit Historical Data. Retrieved from: http://www.federalreserve.gov/releases/g19/hist/cc_hist_sa_levels.html.
Bricker, J., Dettling, L. J., Henriques, A., Hsu, J. W., Moore, K. B., & Sabelhaus, J. (2014). Changes in U.S. family finances from 2010 to 2013: Evidence from the Survey of Consumer Finances. Federal Reserve Bulletin, 100(4), 1–40.
Brown, M., Haughwout, A., Lee, D., & Van Der Klaauw, W. (2013). The financial crisis at the kitchen table: trends in household debt and credit. Current Issues in Economics and Finance, 19(2), 1–9.
Buckland, J., & Simpson, W. (2008). Analysis of credit constraint and financial exclusion with Canadian microdata, presentation to Canadian Economics Association, Congress of the Humanities and Social Sciences, 7 June 2008, Vancouver: University of British Columbia.
Caskey, J. (2001). Payday lending. Journal of Financial Counseling and Planning, 12(2), 1–14.
Chang, Y., Chatterjee, S., & Kim, J. (2014). Household finance and food insecurity. Journal of Family Economics Issues, 35, 499–515. doi:10.1007/s10834-013-9382-z.
Chang, Y. R., & Hanna, S. (1992). Consumer credit search behavior. Journal of Consumer Studies and Home Economics, 16, 207–227.
Clogg, C. C., Petkova, E., & Haritou, A. (1995). Statistical methods for comparing regression coefficients between models. American Journal of Sociology, 100(5), 1261–1293.
Collins, J. M. (2011). Mortgage mistakes? Demographic factors associated with problematic loan application behaviors. Journal of Family Economics Issues, 32, 586–599. Retrieved from: 10.2139/ssrn.1507276.
Cox, D., & Jappelli, T. (1993). The effect of borrowing constraints on consumer liabilities. Journal of Money, Credit and Banking, 25(2), 197–213. doi:10.2307/2077836.
Crook, J. (2006). Household debt demand and supply. In G. Bertola, R. Disney & C. Grant (Eds.), The economics of consumer credit demand and supply. Cambridge, MA: MIT Press.
De Nardi, M., French, E., & Benson, D. (2012). Consumption and the great recession. Economic Perspectives, 1Q, 1–17. doi:10.3386/w17688.
Fabbri, D., & Padula, M. (2004). Do poor legal enforcement make households credit constrained? Journal of Banking and Finance, 28(10), 2369–2397.
Ferri, G., & Simon, P. (2002). Constrained consumer lending: Methods using the Survey of Consumer Finances, Universita`di Bari, Working Paper.
Gallmeyer, A., & Roberts, W. T. (2009). Payday lenders and economically distressed communities: A spatial analysis of financial predation. The Social Science Journal, 46, 521–538. doi:10.1016/j.soscij.2009.02.008.
Greenspan, A. (1997). Consumer credit and financial modernization. Paper presented at the Economic Development Conference of the Greenlining Institute, San Francisco, California. October 11.
Hecht, J. (2014). Alternative financial services: Innovating to meet customer needs in an evolving regulatory framework. Retrieved from: http://cfsaa.com/Portals/0/cfsa2014_conference/Presentations/CFSA2014_THURSDAY_GeneralSession_JohnHecht_Stephens.pdf.
Jappelli, T. (1990). Who is credit constrained in the U.S. economy? Quarterly Journal of Economics, 105(1), 219–234. doi:10.2307/2937826.
Juster, F. T., & Shay, R. (1964). Consumer sensitivity to finance rates: An empirical and analytical investigation. National Bureau of Economic Research Occasional Paper no. p. 88.
Kim, K. T., Wilmarth, M., & Choi, S. (2016). Credit use of U.S. households after the Great Recession: The role of credit constraints. Family & Consumer Sciences Research Journal, 44(3), 280–294. doi:10.1111/fcsr.12143.
Lawrence, E. C., & Elliehausen, G. (2008). A comparative analysis of payday loan customers. Contemporary Economic Policy, 26, 299–316.
Lee, J. (2013). Who are steered to a risky credit alternative? International Journal of Human Ecology, 14, 1–13. doi:10.6115/ijhe.2013.14.2.79.
Lindamood, S., Hanna, S. D., & Bi, L. (2007). Using the Survey of Consumer Finances: Some methodological considerations and issues. Journal of Consumer Affairs, 41(2), 195–222. doi:10.1111/j.1745-6606.2007.00075.x.
Logan, A., & Weller, C. E. (2009). Who borrows from payday lenders? An analysis of newly available data. Washington, DC: Center for American Progress. Retrieved from: http://cdn.americanprogress.org/wpcontent/uploads/issues/2009/03/pdf/payday_lending.pdf.
Lyons, A. C. (2003). How credit access has changed over time for U.S. households. Journal of Consumer Affairs, 37(2), 231–255. doi:10.1111/j.1745-6606.2003.tb00452.x.
Mian, A., Rao, K., & Sufi, A. (2013). Household balance sheets, consumption, and the economic slump. Quarterly Journal of Economics, 128(4), 1687–1726. doi:10.1093/qje/qjt020.
Mills, G. B., & Monson, W. (2013). The rising use of nonbank credit among U.S. households: 2009–2011. Washington: Urban Institute.
Morduch, J., & Schneider, R. (2017). The financial diaries: How American families cope in a world of uncertainty. Princeton: Princeton University Press.
Perraudin, W. M., & Sorensen, B. E. (1992). The credit-constrained consumer: An empirical study of demand and supply in loan market. Journal of Business and Economics Statistics, 10(2), 179–192.
Smith, H., Finke, M. S., & Huston, S. (2012). The influence of financial sophistication and financial planners on Roth IRA ownership. Journal of Financial Services Professionals, 66(6), 1–13.
Sorokina, O. V. (2013). Parental credit constraints and children’s college education. Journal of Family Economic Issues, 34, 157–171. doi:10.1007/s10834-012-9322-3.
Vandone, D. (2009). The determinants of consumer credit: A review of literature. In D. Vandone (Ed.), Consumer credit in Europe: Risks and opportunities of a dynamic industry. London: Physica-Verlag.
Zhao, J., Hanna, S. D., & Lindamood, S. (2006). The effect of credit constraints on the severity of the consumer debt service burden. Consumer Interests Annual, 52, 231–245.
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Lee, J., Kim, K.T. The Increase in Payday Loans and Damaged Credit after the Great Recession. J Fam Econ Iss 39, 360–369 (2018). https://doi.org/10.1007/s10834-017-9557-0
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DOI: https://doi.org/10.1007/s10834-017-9557-0