Abstract
This study explored the impact of student loan and credit card debt on young people’s psychological distress. Targeting American young adults ages 18–28, we examined the impacts of student loan and credit card debt on psychological distress and estimated their relative magnitude using five biannual waves from the Transition into Adulthood Study. Fixed-effects models investigated whether changes in debts led to changes in psychological distress. Increases of $1000 in student loan and credit card debt resulted in 6% and 4% higher odds of distress, respectively. Comparison showed credit card debt inflicted twice as much stress. Implications on young adults’ debt reduction and distress alleviation are addressed.
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Notes
An abbreviation of The Credit Card Accountability Responsibility and Disclosure Act of 2009.
About 8% paid the minimum, 26% paid more than the minimum but not the full balance, and 1% paid less than the minimum.
“Indebted,” “indebtedness” and “leveraging” are used interchangeably in this paper.
If the first disbursement was received on or after July 1st, 2015 and before June 30th, 2016.
Dollar values were in US currency.
For example, coefficient of 0.05 was converted through exp (0.05) = 1.0513, indicating a 5% higher likelihood to be classified in a certain group.
For example, the interest rate for undergraduate Direct Subsidized Loans reduced from 4.29% first disbursed on or after July 1st, 2015 and before June 30th, 2016 to 3.76% first disbursed on or after July 1st, 2016 and before July 1st, 2017.
For example, the Consumer Financial Protection Bureau (CFPB) released “Consumer Credit Trends” in December 2016, a new online tool for consumers to inquire information on lending market such as delinquency rates of different types of loans or borrowers’ debt levels.
References
Adams, T., & Moore, M. (2007). High-risk health and credit behavior among 18- to 15-year old college students. Journal of American College Health, 56, 101–108. https://doi.org/10.3200/JACH.56.2.101-108.
Andresky, P., Kreisman, D., & Schoeni, R. F. (2015). Comparing estimates of student loans measured in the PSID-TAS with the National Postsecondary Student Aid Survey (PSID Technical Report, #15-02). Retrieved from https://psidonline.isr.umich.edu/publications/Papers/tsp/2015-02_Comp_Est_Loan_psid-tas.pdf.
Archuleta, K. L., Dale, A., & Spann, S. M. (2013). College students and financial distress: Exploring debt, financial satisfaction, and financial anxiety. Journal of Financial Counseling and Planning, 24(2), 50.
Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469.
Ashenfelter, O., Levine, P. B., & Zimmerman, D. J. (2003). Statistics and econometrics: Methods and applications. Danvers: Wiley.
Bell, D. N., & Blanchflower, D. G. (2011). Young people and the great recession. Oxford Review of Economic Policy, 27(2), 241–267. https://doi.org/10.1093/oxrep/grr011.
Benyamini, Y. (2016). Self-rated health. In Y. Benyamini, M. Johnston & E. C. Karademas (Eds.), Assessment in health psychology (pp. 175–188). Boston: Hogrefe Publishing Corporation.
Berg, C., Sanem, J., Lust, K., Ahluwalia, J., Kirch, M., & An, L. (2010). Health-related characteristics and incurring credit card debt as problem behaviors among college students. The Internet Journal of Mental Health, 6, 2.
Bridges, S., & Disney, R. (2010). Debt and depression. Journal of Health Economics, 29(3), 388–403. https://doi.org/10.1016/j.jhealeco.2010.02.003.
Brown, S., Taylor, K., & Price, S. W. (2005). Debt and distress: Evaluating the psychological cost of credit. Journal of Economic Psychology, 26(5), 642–663. https://doi.org/10.1016/j.joep.2005.01.002.
Burke, H. M., Davis, M. C., Otte, C., & Mohr, D. C. (2005). Depression and cortisol responses to psychological stress: A meta-analysis. Psychoneuroendocrinology, 30(9), 846–856. https://doi.org/10.1016/j.psyneuen.2005.02.010.
Cavanagh, J. A., & Sharpe, D. L. (2002). The impact of debt levels on participation in and level of discretionary retirement savings. Journal of Financial Counseling and Planning, 13(1), 47.
Chamberlain, G. (1980). Analysis of covariance with qualitative data. Review of Economic Studies, 47, 225–238. https://doi.org/10.2307/2297110.
Choy, S. P., & Berker, A. M. (2003). How families of low- and middle-income undergraduates pay for college: Full-time dependent students in 1999–2000. Washington, DC: National Center For Education Statistics.
College Board. (2014). Trends in higher education: Average annual amount borrowed in federal loans over time. Retrieved from http://trends.collegeboard.org/student-aid/figures-tables/number-federal-subsidized-and-unsubsidized-loan-borrowers-over-time-0.
Cooke, R., Barkham, M., Audin, K., Bradley, M., & Davy, J. (2004). Student debt and its relation to student mental health. Journal of Further and Higher Education, 28, 53–66. https://doi.org/10.1080/0309877032000161814.
Cornelius, B., Groothoff, J., Van Der Klink, J., & Brouwer, S. (2013). The performance of the K10, K6 and GHQ-12 screen for present state D SM-IV disorders among disability claimants. Bio-Med Central Public Health. https://doi.org/10.1186/1471-2458-13-128.
Cunningham, A. F., & Kienzl, G. S. (2011). Delinquency: The untold story of student loan borrowing. Washington, DC: Institute for Higher Education Policy
Daley, S. E., Hammen, C., & Rao, U. (2000). Predictors of first onset and recurrence of major depression in young women during the 5 years following high school graduation. Journal of Abnormal Psychology, 109, 525–533.
Dellande, S., Gilly, M. C., & Graham, J. L. (2016). Managing consumer debt: Culture, compliance, and completion. Journal of Business Research, 69(7), 2594–2602. https://doi.org/10.1016/j.jbusres.2015.10.140.
Department of Education. (2013). Student loan overview: Fiscal year 2014 budget proposal. Washington, D.C: Department of Education
Dunn, L. F., & Mirzaie, I. A. (2012. Determinants of consumer debt stress: Differences by debt type and gender (working paper). Retrieved from Department of Economics, Ohio State University, Columbus. https://www.chrr.ohio-state.edu/content/surveys/cfm/doc/DSI-Working-Paper-07-19-12.pdf.
Dwyer, R. E., Hodson, R., & McCloud, L. (2013). Gender, debt, and dropping out of college. Gender & Society, 27(1), 30–55. https://doi.org/10.1177/0891243212464906.
El-Ghoroury, N. H., Galper, D. I., Sawaqdeh, A., & Bufka, L. F. (2012). Stress, coping, and barriers to wellness among psychology graduate students. Training and Education in Professional Psychology, 6, 122–134.
Elliott, W., & Nam, I. (2013). Is student debt jeopardizing the short-term financial health of US households. Federal Reserve Bank of St. Louis Review, 95(5), 405–424.
Federal Reserve Bank. (2017). Report on the economic well-being of U.S. households in 2016. Retrieved from https://www.federalreserve.gov/publications/2017-economic-well-being-of-us-households-in-2016-education-debt-loans.htm.
Federal Reserve Board of Governors. (2016). Report on the economic well-being of U.S. households in 2016. Retrieved from https://www.federalreserve.gov/publications/files/2016-report-economic-well-being-us-households-201705.pdf.
Fry, R. (2013). Young adults after the recession: Fewer homes, fewer cars, less debt. Pew Research Center. Retrieved from http://www.pewsocialtrends.org/2013/02/21/young-adults-after-the-recession-fewer-homes-fewer-cars-less-debt/.
Gale, W., Harris, B., Renaud, B., & Rodihan, K. (2014). Student loans rising: An overview of causes, consequences, and policy options. Economic Studies at Brooking. Retrieved from http://www.urban.org/sites/default/files/alfresco/publication-pdfs/413123-Student-Loans-Rising.PDF.
Gobel, R. (2014). Graduation debt: How to manage student loans and live your life. New York: Houghton Mifflin Harcourt.
Grable, J. E., & Joo, S. H. (2006). Student racial differences in credit card debt and financial behaviors and stress. College Student Journal, 40(2), 400.
Greene, W. H. (2012). Econometric analysis (7th edn.). Upper Saddle River: Prentice Hall.
Greenstone, M., & Looney, A. (2013). Rising student debt burden: Factors behind the phenomenon. Economic Studies at Brookings. Retrieved from https://www.urban.org/sites/default/files/publication/22591/413123-Student-Loans-Rising.PDF.
Hancock, A. M., Jorgensen, B. L., & Swanson, M. S. (2013). College students and credit card use: The role of parents, work experience, financial knowledge, and credit card attitudes. Journal of Family and Economic Issues, 34(4), 369–381. https://doi.org/10.1007/s10834-012-9338-8.
Heckman, S., Lim, H., & Montalto, C. (2014). Factors related to financial stress among college students. Journal of Financial Therapy, 5(1), 3. https://doi.org/10.4148/1944-9771.1063.
Heeringa, S. G., Berglund, P. A., & Khan, A. (2011). Sampling error estimation in design-based analysis of the PSID data (PSID Technical Report, #11-05). Retrieved from https://newprairiepress.org/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1063&context=jft.
Houle, J. N. (2013). Disparities in debt: Parents’ socioeconomic resources and young adult student loan debt. Sociology of Education, 87(1), 53–69. https://doi.org/10.1177/0038040713512213.
Hysenbegasi, A., Hass, S., & Rowland, C. (2005). The impact of depression on the academic productivity of university students. Journal of Mental Health Policy and Economics, 8(3), 145–151.
Institute for Social Research: Panel Study of Income Dynamics (2011). PSID Transition into adulthood study: User guide. Retrieved from https://psidonline.isr.umich.edu/CDS/TA11_UserGuide.pdf.
Internal Revenue Service. (2016). Education credits: Questions and answers. Retrieved from https://www.irs.gov/individuals/education-credits-questions-and-answers.
Jorgensen, B. J., & Savla, J. (2010). Financial literacy of young adults: The importance of parental socialization. Family Relations, 59(4), 465–478. https://doi.org/10.1111/j.1741-3729.2010.00616.x.
JumpStart Coalition for Financial Literacy. (2016). Making the case for financial literacy 2016. Retrieved from http://jumpstart.org/assets/files/Case_for_Financial_Literacy_2016.pdf.
Kash, K. M., Holland, J. C., Halper, M. S., & Miller, D. G. (1992). Psychological distress and surveillance behaviors of women with a family history of breast cancer. Journal of the National Cancer Institute, 84(1), 24–30.
Kessler, R., Berglund, A., Demler, O., Jin, R., Koretz, D., Merikangas, K., et al. (2003). The epidemiology of major depressive disorder: Results from the National Comorbidity Survey Replication (NCS-R). Journal of the American Medical Association, 289, 3095–3105. https://doi.org/10.1001/jama.289.23.3095.
Kessler, R., Green, J., Gruber, M., Sampson, N., Bromet, E., Cuitan, M., et al. (2010). Screening for serious mental illness in the general population with the K6 screening scale: Results from the WHO World Mental Health (WMH) survey initiative. International Journal of Methods in Psychiatric Research, 19, 4–22. https://doi.org/10.1002/mpr.310.
Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S. L., et al. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976.
La Cava, G., & Simon, J. (2005). Household debt and financial constraints in Australia. Australian Economic Review, 38, 40–60. https://doi.org/10.1111/j.1467-8462.2005.00351.x.
Lee, S., & Mysky, A. (2004). The medicalization of compulsive buying. Social Science & Medicine, 58, 1709–1718. https://doi.org/10.1016/S0277-9536(03)00340-X.
Mitchell, C. M., & Beals, J. (2011). The utility of the Kessler screening scale for psychological distress in two American Indian communities. Psychological Assessment, 23, 752–761. https://doi.org/10.1037/a0023288.
Modigliani, F., & Brumberg, R. (1954). Utility analysis and the consumption function: An interpretation of cross-section data. In K. K. Kurihara (Ed.), Post-Keynesian economics (pp. 388–436). New Brunswick: Ruthers University Press.
National Consumer Law Center. (2013). Guide to surviving debt. Boston: National Consumer Law Center Inc.
Neill, C. (2015). Rising student employment: the role of tuition fees. Education Economics, 23(1), 101–121. https://doi.org/10.1080/09645292.2013.818104.
Nelson, M. C., Lust, K., Story, M., & Ehlinger, E. (2008). Credit card debt, stress and key health risk behaviors among college students. American Journal of Health Promotion, 22(6), 400–407. https://doi.org/10.4278/ajhp.22.6.400.
Norvilities, J. M., Merwin, M. M., Osberg, T. M., Roehling, P. V., Young, P., & Kamas, M. M. (2006). Personality factors, money attitudes, financial knowledge, and credit card debt in college students. Journal of Applied Social Psychology, 36(6), 1395–1413. https://doi.org/10.1111/j.0021-9029.2006.00065.x.
Norvilitis, J. M., & Santa Maria, P. (2002). Credit card debt on college campuses: Causes, consequences, and solutions. College Student Journal, 36(3), 356.
Phau, I., & Woo, C. (2008). Understanding compulsive buying tendencies among young Australians: The roles of money attitude and credit card usage. Marketing Intelligence & Planning, 26(5), 441–458. https://doi.org/10.1108/02634500810894307.
Ross, S., Cleland, J., & Macleod, M. J. (2006). Stress, debt, and undergraduate medical student performance. Medical Education, 40, 584–589. https://doi.org/10.1111/j.1365-2929.2006.02448.x.
Sallie Mae. (2016). Majoring in money: How American college students manage their finances. Retrieved from http://news.salliemae.com/sites/salliemae.newshq.businesswire.com/files/doc_library/file/SallieMae_MajoringinMoney_2016.pdf.
Seaward, H. G. W., & Kemp, S. (2000). Optimism bias and student debt. New Zealand Journal of Psychology, 29(1), 17–19.
Shim, S., Barber, B. L., Card, N. A., Xiao, J. J., & Serido, J. (2009a). Financial socialization of first-year college students: The roles of parents, work, and education. Journal of Youth Adolescence, 39(12), 1457–1470. https://doi.org/10.1007/s10964-009-9432-x.
Shim, S., Serido, J., Tang, C., & Card, N. (2015). Socialization processes and pathways to healthy financial development for emerging young adults. Journal of Applied Developmental Psychology, 38, 29–38. https://doi.org/10.1016/j.appdev.2015.01.002.
Shim, S., Xiao, J. J., Barber, B. L., & Lyons, A. C. (2009b). Pathways to life success: A conceptual model of financial well-being for young adults. Journal of Applied Developmental Psychology, 30(6), 708–723. https://doi.org/10.1016/j.appdev.2009.02.003.
Stein, C. H., Hoffmann, E., Bonar, E. E., Leith, J. E., Abraham, K. M., Hamill, A. C., et al. (2013). The United States economic crisis: Young adults’ reports of economic pressures, financial and religious coping and psychological well-being. Journal of Family and Economic Issues, 34(2), 200–210. https://doi.org/10.1007/s10834-012-9328-x.
Strayhorn, J. M. (2002). Self-control: Theory and research. Journal of the American Academy of Child and Adolescent Psychiatry, 41, 7–16. https://doi.org/10.1097/00004583-200201000-00006.
Sullivan, T. A., Warren, E., & Westbrook, J. L. (2006). Less stigma or more financial distress: An empirical analysis of the extraordinary increase in bankruptcy filings. Stanford Law Review, 59, 213–256. https://doi.org/10.2139/ssrn.903355.
Sweet, E., Nandi, A., Adam, E. K., & McDade, T. W. (2013). The high price of debt: Household financial debt and its impact on mental and physical health. Social Science & Medicine, 91, 94–100. https://doi.org/10.1016/j.socscimed.2013.05.009.
Tang, N., Baker, A., & Peter, P. C. (2015). Investigating the disconnect between financial knowledge and behavior: The role of parental influence and psychological characteristics in responsible financial behaviors among young adults. Journal of Consumer Affairs, 49(2), 376–406. https://doi.org/10.1111/joca.12069.
Tay, L., Batz, C., Parrigon, S., & Kuykendall, L. (2016). Debt and subjective well-being: The other side of the income-happiness coin. Journal of Happiness Studies, 18(3), 903–937. https://doi.org/10.1007/s10902-016-9758-5.
Xiao, J. J., Tang, Ch, Serido, J., & Shim, S. (2011). Antecedents and consequences of risky credit behavior among college students: Application and extension of the theory of planned behavior. Journal of Public Policy & Marketing, 30(2), 239–245. https://doi.org/10.1509/jppm.30.2.239.
Yaffee, R. A. (2003). A primer for panel data analysis (Information Technology at New York University). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.595.1905&rep=rep1&type=pdf.
Youngclaus, J. A., Koehler, P. A., Kotikoff, L. J., & Wiecha, J. M. (2014). Can medical students afford to choose primary care? An economic analysis of physician education debt repayment. Journal of the Association of American Medical Colleges, 88, 16–25. https://doi.org/10.1097/ACM.0b013e318277a7df.
Zhang, J., & Kemp, S. (2009). The relationships between student debt and motivation, happiness, and academic achievement. New Zealand Journal of Psychology, 38(2), 24–29.
Zurlo, K. A., Yoon, W., & Kim, H. (2014). Unsecured consumer debt and mental health outcomes in middle-aged and older Americans. Journal of Gerontology, Series B: Psychological Sciences and Social Sciences, 69, 461–469. https://doi.org/10.1093/geronb/gbu020.
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Zhang, Q., Kim, H. American Young Adults’ Debt and Psychological Distress. J Fam Econ Iss 40, 22–35 (2019). https://doi.org/10.1007/s10834-018-9605-4
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DOI: https://doi.org/10.1007/s10834-018-9605-4