Decomposição dos diferenciais de rendimentos entre os trabalhadores brasileiros por quantis e categorias ocupacionais

Detalhes bibliográficos
Ano de defesa: 2013
Autor(a) principal: Menezes, Francisca Lívia Souza
Orientador(a): Não Informado pela instituição
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: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.repositorio.ufc.br/handle/riufc/5451
Resumo: Analyzing the income differentials between Brazilian workers’ occupations is the focus of this paper. Due to the wide diversity of occupations cataloged by the IBGE (around 800), and to allow statistical treatment in econometric modeling, it was applied the theoretical schema of Erickson, Goldthorpe and Portocarrero (1979) and Goldthorpe, Llewellyn and Payne (1987) to reduce them in only seven. The methodological approach is based on mincerian quantile equations to be estimated in various strata of the workers’ income distribution, on which a breakdown is made to check the gap between the individuals’earnings with distinct inherent attributes and between those living in more and less developed regions. The estimation results confirm the importance of breakdown analysis for occupational strata as well as for quantiles, since the effects of explanatory variables are distinct along the earnings’ distribution and vary among occupations. Regarding the gaps in this distribution, there is a glass ceiling effect in some occupations, that is, the gap is greater at the top of distribution. However, in most cases occurs a sticky floor effect, the gap is greater at the bottom of distribution. Moreover, contrary to the gap in gender, which are due only to the compensation characteristics of individuals, which is understood as discrimination, income differentials between regions and races are also due to the different characteristics of workers.