Detalhes bibliográficos
Ano de defesa: |
2019 |
Autor(a) principal: |
Fonseca, Edna Silva |
Orientador(a): |
Jorge, Marco Antonio |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Pós-Graduação em Economia
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://ri.ufs.br/jspui/handle/riufs/11538
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Resumo: |
Discrimination and inequalities of opportunities in the labor market are something to be overcome by Brazilian society. The social and income inequalities between men and women, blacks and whites, do not deviate from this reality. In this way, research on discrimination in the labor market that affects the black population, more specifically, black women, confronting their indicators with the opposite population group, white men, as well as women white and internal to their color group, black men. As a spatial cut, the state of Bahia, characterized by the fact that among the federative units, presents a demographic picture that is mostly composed of Afro-descendants, contrasting its estimates with national statistics. The time delimitation is registered between the period of 2001 and 2015, based on the information contained in the National Household Sample Survey (PNAD). The methodological input is based on quantitative analytical methods. The latter encompasses the estimation of the wage equation suggested by Mincer (1974), in the cross-section format, followed by the correction of the sample selection bias proposed by Heckman (1979) commonly known as the "Inverse of Mills", greater consistency for the model, and, finally, the wage differential proposed by Oaxaca (1973) is decomposed. The initial results suggest, as recommended by the specialized literature, the existence of different wage returns according to gender and color. The wage differential between the groups characterized by white men and black women, black men and black women, white women and black women, is more prevalent in the income gap between the first peers in both territories. As for the difference in income from discrimination, it was found that in 2001, in Bahia, this component contributed greatly to the wage gap between peers, but in different magnitudes. By 2015, the predominance of discriminatory factors is overvalued, but declining in both geographic areas. |