Incentives in Brazilian Bolsa Família CCT Program: Adverse selection, moral hazard, improving mechanisms and simulations

M. Bugarin, Sérgio Gadelha, A. Santos, J. Duarte, João B. Amaral, J. A. Neves, Plínio Portela de Oliveira, R. Regatieri
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Abstract

The Bolsa Familia CCT Program (BFP) has successfully reduced poverty in Brazil. However, the theoretical literature on associated economic incentives is scarce. A mechanism-design analysis identifies problems of adverse selection and moral hazard in the BFP. The paper proposes simple improving incentive-mechanisms. The Citizens’ Contribution Mechanism (CCM) requires beneficiaries to devote time to the PBF encouraging recipients with higher income to leave. The Graduation Mechanism (GM) offers financial incentives to ensure sustainable emancipation of qualified beneficiaries. The Human Capital Incentive Mechanism (HCM) increases transfers to efficient municipalities. We show that the CCM solves the adverse selection problem, the GM solves the moral hazard problem of beneficiaries and the HCM solves a moral hazard problem of local managers. A simulation based on 2010 census data shows that the mechanisms allow, within 6 years, significant increases in the reach and precision of the PBF and yields cost reductions of over R$4.6 billion.
巴西Bolsa Família有条件现金转移支付计划的激励机制:逆向选择、道德风险、改进机制和模拟
家庭津贴有条件现金转移支付项目(BFP)成功地减少了巴西的贫困。然而,相关经济激励的理论文献却很少。机制设计分析确定了BFP中的逆向选择和道德风险问题。本文提出了简单完善的激励机制。公民贡献机制(CCM)要求受益人在PBF上投入时间,鼓励收入较高的受助人离开。毕业机制(GM)提供财政激励,以确保合格受益人的可持续解放。人力资本激励机制(HCM)增加了向高效市政当局的转移。结果表明,CCM解决了逆向选择问题,GM解决了受益人的道德风险问题,HCM解决了地方管理者的道德风险问题。基于2010年人口普查数据的模拟表明,该机制允许在6年内显著提高PBF的覆盖范围和精度,并减少超过46亿雷亚尔的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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