Os extremos do ciclo de vida: trabalho infantil e aposentadoria precoce

Este trabalho procura analisar dois problemas bastante graves que afligem a sociedade brasileira. De um lado, a entrada precoce na força de trabalho, que tem sua face mais perversa no trabalho infantil; de outro, a saída também precoce da força de trabalho de adultos em idade ainda produtiva. Ambos fenômenos são empobrecedores para a sociedade e atuam como mecanismo de geração e perpetuação de pobreza. O trabalho infantil, discutido na primeira parte do trabalho, prejudica a educação. A saída precoce da força de trabalho, analisado na segunda parte do trabalho, é um desperdício de recursos. Na terceira parte é desenvolvida uma análise formal que procura mostrar o quanto um sistema de aposentadorias como o sistema previdenciário brasileiro, que garante uma renda por vida às pessoas após um certo anos de trabalho, pode induzir escolhas que embora ótimas do ponto de vista privado são bastante custosas do ponto vista social. Especificamente, procura-se mostrar como esta legislação pode incentivar tanto a entrada quanto a saída precoce do mercado de trabalho.

Escolaridade e o diferencial de rendimentos entre o setor privado e o setor público no Brasil

We study the determinants of the public-private earning gap for different levels of schooling of Brazilian workers. First, using the current earnings as the variable of interest, it is estimated an earnings gap favorable to the less educated workers from the public sector. On the other hand, for workers with higher qualification the earnings gap disappears or becomes favorable to the private sector. Further, we considerate the different regimes of retirement in Brazil by creating the variable Present Value of Work Contract (PVWC). This variable is a measure of the life time earnings for each individual of our database. Different from the results of the current earnings, we found that the PVWC gap is favorable to the public sector even for the most schooling group of workers.

The distribution of male wages in Brazil

This paper examines the evolution of wage inequality in Brazil in the 1980s and 1990s . It tries to investigate the role played by changing economic returns to education and to experience over this period together with the evolution of within-group inequality. It applies a quantile regression approach on grouped data to the Brazilian case. Results using repeated cross-sections of a Brazilian annual household survey indicate that : i) Male wage dispersion remained basically constant overall in the 1980's and 1990' s but has increased substantially within education and age groups. ii) Returns to experience increased significantly over this period, with the rise concentrated on the iliterate/primary school group iii) Returns to college education have risen over time, whereas return to intermediate and high-school education have fallen iv) The apparent rise in within-group inequality seems to be the result of a fall in real wages, since the difference in wage leveIs has dec1ined substantially over the period, especially within the high-educated sample. v) Returns to experience rise with education. vi) Returns to education rise over the life-cycle. vii) Wage inequality increases over the life-cycle. The next step i~ this research will try to conciliate all these stylised facts.

Life Cycle Models, Heterogeneity of Initial Assets,and Wealth Inequality

Life cycle general equilibrium models with heterogeneous agents have a very hard time reproducing the American wealth distribution. A common assumption made in this literature is that all young adults enter the economy with no initial assets. In this article, we relax this assumption – not supported by the data - and evaluate the ability of an otherwise standard life cycle model to account for the U.S. wealth inequality. The new feature of the model is that agents enter the economy with assets drawn from an initial distribution of assets, which is estimated using a non-parametric method applied to data from the Survey of Consumer Finances. We found that heterogeneity with respect to initial wealth is key for this class of models to replicate the data. According to our results, American inequality can be explained almost entirely by the fact that some individuals are lucky enough to be born into wealth, while others are born with few or no assets.