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Evidence on Rule Manipulation and Moral Hazard in the Brazilian Unemployment Insurance Program

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  • Gibran da Silva Teixeira
  • Giácomo Balbinotto Neto
  • Pedro Henrique Soares Leivas

Abstract

This article aims to examine the existence of rule manipulation and moral hazard in the Brazilian Unemployment Insurance Program. For empirical analysis, the rule manipulation test by Cattaneo, Janson and Ma (2016) was used, as well as fuzzy and sharp regression discontinuity. The data was built using data from the National Employment and Unemployment Survey from January 2008 to June 2014 due to the greater homogeneity of the rules for benefit access. Based on the results, the program is an influence on the length of employment of Brazilian workers given the existence of rule manipulation, assessed by the length of stay in the last job. Furthermore, it was found that heads of families and their children were less likely to search for employment. This findings were corroborated when data from the program beneficiaries only was assessed, showing a lower job search probability, between -21.80 p.p. and -15.08 p.p. for the children, and between -39.40 p.p. and -28.50 p.p. for the heads of families. Thus, it is possible to confirm the existence of both rule manipulation the access of the program, as well as moral hazard, which points to the need to restructure the program, and above all, have less influence on the national labor market.

Suggested Citation

  • Gibran da Silva Teixeira & Giácomo Balbinotto Neto & Pedro Henrique Soares Leivas, 2020. "Evidence on Rule Manipulation and Moral Hazard in the Brazilian Unemployment Insurance Program," International Journal of Social Science Studies, Redfame publishing, vol. 8(1), pages 67-78, January.
  • Handle: RePEc:rfa:journl:v:8:y:2020:i:1:p:67-78
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    References listed on IDEAS

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    1. Giácomo Balbinotto Neto & Hélio Zylberstajn, 2002. "Uso repetido do seguro-desemprego no Brasil-1986-1998: teorias e evidências," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 3(2), pages 265-301, July-Dece.
    2. Shavell, Steven & Weiss, Laurence, 1979. "The Optimal Payment of Unemployment Insurance Benefits over Time," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1347-1362, December.
    3. Uusitalo, Roope & Verho, Jouko, 2010. "The effect of unemployment benefits on re-employment rates: Evidence from the Finnish unemployment insurance reform," Labour Economics, Elsevier, vol. 17(4), pages 643-654, August.
    4. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    5. David Card & Raj Chetty & Andrea Weber, 2007. "Cash-on-Hand and Competing Models of Intertemporal Behavior: New Evidence from the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1511-1560.
    6. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    7. Sergio Firpo & Renan Pieri & Euclides Pedroso Jr. & André Portela Souza, 2014. "Evidence of eligibility manipulation for conditional cash transfer programs," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(3), pages 243-260.
    8. Rafael Lalive, 2007. "Unemployment Benefits, Unemployment Duration, and Post-Unemployment Jobs: A Regression Discontinuity Approach," American Economic Review, American Economic Association, vol. 97(2), pages 108-112, May.
    9. Johannes F. Schmieder & Till von Wachter & Stefan Bender, 2012. "The Long-Term Effects of UI Extensions on Employment," American Economic Review, American Economic Association, vol. 102(3), pages 514-519, May.
    10. Edward Amadeo & José Marcio Camargo, 1995. "Regulations and flexibility of the labor market in Brazil," Textos para discussão 335, Department of Economics PUC-Rio (Brazil).
    11. Hopenhayn, Hugo A & Nicolini, Juan Pablo, 1997. "Optimal Unemployment Insurance," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 412-438, April.
    12. Robalino, David A. & Zylberstajn, Eduardo & Robalino, Juan David, 2011. "Incentive Effects of Risk Pooling, Redistributive and Savings Arrangements in Unemployment Benefit Systems: Evidence from a Job-Search Model for Brazil," IZA Discussion Papers 5476, Institute of Labor Economics (IZA).
    13. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    14. David MARGOLIS, 2008. "Unemployment Insurance Versus Individual Unemployment Accounts and Transitions to Formal Versus Informal Sector Jobs," Working Papers 2008-35, Center for Research in Economics and Statistics.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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