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Determinants of the Default Rate of Individual Clients in Brazil and the Role of Payroll Loans

Author

Listed:
  • Aline B. Schuh

    (Federal Institute of Rio Grande do Sul)

  • Pascoal José Marion Filho

    (Federal University of Santa Maria)

  • Daniel Arruda Coronel

    (Federal University of Santa Maria)

Abstract

Payroll Loans are a relatively recent type of personal loan in the Brazilian credit market, and therefore its effects on the default rate of individual clients are still rather unknown. In this sense, this study aims to evaluate the influence of payroll loans and selected macroeconomic variables, such as the GDP, consumption, unemployment, inflation and the interest rate, on the default rate of individual clients between 2004 and 2016 in Brazil. This was accomplished through the estimation of a Vector Error Correction model (VECM), and through the calculation of impulse response functions, the variance decomposition and the Granger causality. The results show negative long-term relationships between payroll loans and the default rate of individual clients. It was also observed that the default rate reacts negatively to variations in the GDP. On the other hand, the unemployment rate, the interest rate and inflation showed positive long-term relationships with the default rate, and for the consumption variable, the results were inconclusive. It is noteworthy that, except for the consumption index, all other relationships were in agreement with the literature and with the expected behavior, confirming, therefore, that the macroeconomic scenario played a determinant role in the behavior of default rates, and that payroll loans contributed to mitigate the default rates of individual clients in the period.

Suggested Citation

  • Aline B. Schuh & Pascoal José Marion Filho & Daniel Arruda Coronel, 2019. "Determinants of the Default Rate of Individual Clients in Brazil and the Role of Payroll Loans," Economics Bulletin, AccessEcon, vol. 39(1), pages 395-408.
  • Handle: RePEc:ebl:ecbull:eb-18-00087
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    References listed on IDEAS

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    1. Tullio Jappelli & Marco Pagano & Marco Di Maggio, 2013. "Households' indebtedness and financial fragility," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 1, pages 23-46, January.
    2. Schechtman, Ricardo & Gaglianone, Wagner Piazza, 2012. "Macro stress testing of credit risk focused on the tails," Journal of Financial Stability, Elsevier, vol. 8(3), pages 174-192.
    3. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.
    4. Christiano A. Coelho & João M.P. De Mello & Bruno Funchal, 2012. "The Brazilian Payroll Lending Experiment," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 925-934, November.
    5. Sumit Agarwal & Chunlin Liu, 2003. "Determinants of credit card delinquency and bankruptcy: Macroeconomic factors," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 75-84, March.
    6. Rexford Abaidoo, 2018. "Loan delinquency and macroeconomic conditions," American Journal of Business, Emerald Group Publishing Limited, vol. 33(3), pages 82-95, August.
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    More about this item

    Keywords

    Payroll Loans; Default Rate; Macroeconomic Activity; Vector Error Correction Model.;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • G2 - Financial Economics - - Financial Institutions and Services

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