Financial Health and Credit Behavior: Evidence from the I-SFB

Motta, Victor (2025): Financial Health and Credit Behavior: Evidence from the I-SFB.

Abstract

This study examines the relationship between the Financial Health Index of Brazilians (Índice de Saúde Financeira do Brasileiro, I-SFB) and credit behavior, focusing on two central questions: (1) how different levels of financial health relate to the likelihood of delinquency, and (2) how transitions between stages of late payments and delinquency vary according to the financial health levels measured by the I-SFB. The results reveal a significant association between higher I-SFB scores and a lower likelihood of delinquency, with the financial behavior and financial security dimensions showing the strongest link to reduced risk. The study also highlights potential improvements to the financial skills dimension, which showed no significant relationship with delinquency. A revision of the items comprising this dimension is put forth, incorporating more practical aspects of financial knowledge application. For the private sector, the study proposes using the I-SFB as a diagnostic tool to develop new financial products that are better aligned with the population’s needs, thereby fostering more robust financial health. The implementation of integrated strategies, combining behavioral interventions, practical financial education, and consumer protection policies, is essential to achieve more sustainable outcomes.

• Item Type: MPRA Paper
• Language: English
• Keywords: financial health, default rate, public policy, financial inclusion
• Subjects: D - Microeconomics > D1 - Household Behavior and Family Economics > D14 - Household Saving; Personal Finance; G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages; I - Health, Education, and Welfare > I1 - Health > I19 - Other

References

Allen, F., Demirguc-Kunt, A., Klapper, L., & Martinez Peria, M. S. (2016). The foundations of financial inclusion: Understanding ownership and use of formal accounts. Journal of Financial Intermediation, 27, 1–30. https://doi.org/10.1016/j.jfi.2015.12.003 Andersen, P. K., & Gill, R. D. (1982). Cox’s regression model for counting processes: a large sample study. The Annals of Statistics, 10(4), 1100–1120. Ashraf, N., Karlan, D., & Yin, W. (2010). Female Empowerment: Impact of a Commitment Savings Product in the Philippines. World Development, 38(3), 333–344. https://doi.org/10.1016/j.worlddev.2009.05.010 Atkins, R., Cook, L., & Seamans, R. (2022). Discrimination in lending? Evidence from the Paycheck Protection Program. Small Business Economics, 58(2), 843–865. https://doi.org/10.1007/s11187-021-00533-1 Bachas, P., Gertler, P., Higgins, S., & Seira, E. (2021). How Debit Cards Enable the Poor to Save More. Journal of Finance, 76(4), 1913–1957. https://doi.org/10.1111/jofi.13021 Blumenstock, J., Callen, M., & Ghani, T. (2018). Why do defaults affect behavior? Experimental evidence from Afghanistan. American Economic Review, 108(10), 2868–2901. https://doi.org/10.1257/aer.20171676 Breza, E., Kanz, M., & Klapper, L. F. (2020). We are grateful to Learning to Navigate a New Financial Technology: Evidence from Payroll Accounts (28249; NBER Working Paper Series). http://www.nber.org/papers/w28249 Brown, M., Grigsby, J., Van Der Klaauw, W., Wen, J., & Zafar, B. (2016). Financial Education and the Debt Behavior of the Young. Review of Financial Studies, 29(9), 2490–2522. https://doi.org/10.1093/rfs/hhw006 Campbell, J. Y., Jackson, H. E., Madrian, B. C., & Tufano, P. (2011). Consumer financial protection. Journal of Economic Perspectives, 25(1), 91–114. https://doi.org/10.1257/jep.25.1.91 Carpena, F., Cole, S., Shapiro, J., & Zia, B. (2013). Liability structure in small-scale finance: Evidence from a natural experiment. World Bank Economic Review, 27(3), 437–469. https://doi.org/10.1093/wber/lhs031 Cozarenco, A., & Szafarz, A. (2018). Gender Biases in Bank Lending: Lessons from Microcredit in France. Journal of Business Ethics, 147(3), 631–650. https://doi.org/10.1007/s10551-015-2948-y Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. D’Espallier, B., Guérin, I., & Mersland, R. (2011). Women and Repayment in Microfinance: A Global Analysis. World Development, 39(5), 758–772. https://doi.org/10.1016/j.worlddev.2010.10.008 Fernandes, D., Lynch, J. G., & Netemeyer, R. G. (2014). Financial literacy, financial education, and downstream financial behaviors. Management Science, 60(8), 1861–1883. https://doi.org/10.1287/mnsc.2013.1849 Field, E., Pande, R., Rigol, N., Schaner, S., & Moore, C. T. (2021). On her own account: How strengthening women’s financial control impacts labor supply and gender norms. American Economic Review, 111(7), 2342–2375. https://doi.org/10.1257/aer.20200705 Garber, G., Mian, A., Ponticelli, J., & Sufi, A. (2024). Consumption smoothing or consumption binging? The effects of government-led consumer credit expansion in Brazil. Journal of Financial Economics, 156. https://doi.org/10.1016/j.jfineco.2024.103834 Giné, X., & Mazer, R. K. (2022). Financial (dis-)information: Evidence from a multi-country audit study. Journal of Public Economics, 208. https://doi.org/10.1016/j.jpubeco.2022.104618 Grohmann, A., Klühs, T., & Menkhoff, L. (2018). Does financial literacy improve financial inclusion? Cross country evidence. World Development, 111, 84–96. https://doi.org/10.1016/j.worlddev.2018.06.020 Hermes, N., & Lensink, R. (2007). The empirics of microfinance: what do we know? The Economic Journal, 117, 1–10. http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0297.2007.02013.x/full Kaiser, T., Lusardi, A., Menkhoff, L., & Urban, C. (2022). Financial education affects financial knowledge and downstream behaviors. Journal of Financial Economics, 145(2), 255–272. https://doi.org/10.1016/j.jfineco.2021.09.022 Kalbfleisch, J. D., & Schaubel, D. E. (2023). Fifty Years of the Cox Model. Annual Review of Statistics and Its Applications, 10(1), 1–23. https://doi.org/10.1146/annurev-statistics-033021 Klapper, L., & Lusardi, A. (2020). Financial literacy and financial resilience: Evidence from around the world. Financial Management, 49(3), 589–614. https://doi.org/10.1111/fima.12283 Ladha, T., Asrow, K., Parker, S., Rhyne, E., & Kelly, S. (2017). Beyond Financial Inclusion: Financial Health as a Global Framework. www.cfsinnovation.org Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5 Lusardi, A., & Mitchell, O. S. (2023). The Importance of Financial Literacy: Opening a New Field. Journal of Economic Perspectives, 37(4), 137–154. https://doi.org/10.1257/jep.37.4.137 Lusardi, A., & Tufano, P. (2015). Debt literacy, financial experiences, and overindebtedness. Journal of Pension Economics and Finance, 14(4), 332–368. https://doi.org/10.1017/S1474747215000232 Muir, K., Hamilton, M., Noone, G., Marjolin, A., Salignac, F., & Saunders, P. (2017). Exploring financial wellbeing in the Australian contrext. Muralidharan, K., Niehaus, P., & Sukhtankar, S. (2016). Building status capacity: Evidence from biometric smartcards in Indi. American Economic Review, 106(10), 2895–2929. https://doi.org/10.1257/aer.20141346 OECD. (2022). OECD/INFE Toolkit for Measuring Financial Literacy and Financial Inclusion 2022. www.oecd.org/financial/education/2022-INFE-Toolkit-Measuring-Finlit-Financial-Inclusion.pdf Prentice, R. L., Williams, B. J., & Peterson, A. V. (1981). On the regression analysis of multivariate failure time data. In Biometrika (Vol. 68, Issue 2). http://biomet.oxfordjournals.org/ UNSGSA. (2021). Measuring Financial Health: Concepts and Considerations. Wei, L. J., Lin, D. Y., & Weissfeld, L. (1989). Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. Journal of the American Statistical Association, 84(408), 1065–1073. https://doi.org/10.1080/01621459.1989.10478873 Wright, R., Tekin, E., Topalli, V., McClellan, C., Dickinson, T., & Rosenfeld, R. (2017). Less cash, less crime: Evidence from the electronic benefit transfer program. Journal of Law and Economics, 60(2), 361–383. https://doi.org/10.1086/693745