APRESENTADORA:
Dr.ª Valéria Lúcia Pero
Professora dos programas de Graduação e Pós-Graduação do Instituto de Economia da Universidade Federal do Rio de Janeiro
DATA: 26/08/2024
HORA:16H40
SALA: 203
ABSTRACT:this paper examines the structure of inequality of opportunity (IOP) in the Brazilian and Indian labor markets and its evolution between the late 1990s and early 2010s. We apply the machine learning approach of regression tree to study IOP with respect to wage earnings, performing a comparative assessment of the role of caste in India and skin color in Brazil and their interactions with gender, region and parental background. The main results of the regression trees are the following: (i) family education is the circumstance that contributes the most to the IOP in both countries, and this result is stable over time; (ii) the upper castes in India and “whites” in Brazil have persistent higher labor earnings; (iii) the importance of gender in IOP increases over time, with a double disadvantage of women belonging to the less advantaged social groups of race and caste; (iv) the Brazilian opportunity tree becomes less stratified over time, whereas India evolves towards a more complex stratification. Regarding IOP, we find some improvement for India over time, and a virtually stagnant level for Brazil. The IOP evolution is in the opposite direction of the evolution of earnings inequality. India’s IOP remains higher than that of Brazil, with at least 30% of the earnings inequality being due to circumstances. Taken together, our results call for special attention to be paid to public policies aimed at reducing the differences in earnings between social strata in the labor market.
INFORMAÇÕES GERAIS.
Os seminários ocorrerão às segundas-feiras de 16:40-18h na sala 203. A sala tem que ser liberada até 18:15, pois à noite ela é utilizada pelo curso noturno.
Os alunos de mestrado e doutorado em tempo integral têm que obter uma frequência mínima de 75% nos seminários e os demais uma frequência mínima de 50%.
Haverá lista de assinatura recolhida no evento presencial.
