Race, Gender, and Inequality in the Post-Pandemic Era: Evidence from the Continuous PNAD (2019–2022)
Intersectional Inequality; Labor Market; COVID-19; Fairlie Decomposition; Gender and Race
The COVID-19 pandemic exacerbated historical inequalities in the Brazilian labor market, disproportionately impacting Black women. Grounded in the framework of intersectionality, this study analyzed data from the Continuous PNAD (2019 and 2022) using logistic regression models and Fairlie decomposition, revealing that race and gender inequalities are interdependent and structurally embedded.
Even with similar demographic and educational characteristics, Black women were more likely to experience unemployment and inactivity: 48.5% were out of the labor force in 2022, compared to 23.1% of white men. Moreover, their average income was 52% lower, and the presence of young children increased their unemployment risk by 14.3%, while for men, the risk decreased.
Education provided less protective benefits for Black women compared to white women, reflecting persistent racial barriers. Although Black men faced greater aggravating factors, they exhibited lower unemployment rates than Black women. Up to 96% of the unemployment rate differences between Black women and white men were unexplained by observable variables, highlighting structural discrimination. The burden of domestic and caregiving work underscored the gendered nature of female inactivity.