Araújo, Júlia RochaVarela, Thaise da Costa2025-11-042025-11-042025-08-26VARELA, Thaise da Costa. Raça, gênero e mercado de trabalho no Brasil pós-pandemia: desigualdades estruturais e interseccionais. Orientadora: Dra. Júlia Rocha Araújo. 2025. 54f. Dissertação (Mestrado em Economia) - Centro de Ciências Sociais Aplicadas, Universidade Federal do Rio Grande do Norte, Natal, 2025.https://repositorio.ufrn.br/handle/123456789/66018The COVID-19 pandemic deepened historical inequalities in the Brazilian labor market, disproportionately affecting Black women. Data from the Continuous PNAD (2019 and 2022) were used to estimate logistic regression models and apply the Fairlie decomposition method, highlighting that racial and gender inequalities are interdependent and structurally entrenched. Even with similar demographic and educational characteristics, Black women showed a higher likelihood of unemployment and inactivity: in 2022, 48.5% were out of the labor force, compared to 23.1% of White men. The average income of Black women was 52% lower, and the presence of young children increased the risk of unemployment by 16% — an effect opposite to that observed among men, whose risk was reduced. Education proved less protective for Black women than for White women, revealing persistent racial barriers. Although Black men face significant aggravating factors, their unemployment rates were lower than those of Black women. Up to 82% of the difference in unemployment rates between Black women and White men could not be explained by observable variables, suggesting a strong presence of structural discrimination. Moreover, the burden of domestic and care work reinforced the impact of gender on female labor market inactivity.pt-BRAcesso AbertoDesigualdade interseccionalMercado de trabalhoDecomposição de FairlieCovid-19Gênero e raçamasterThesisCIENCIAS SOCIAIS APLICADAS::ECONOMIA