In this paper, we present evidence from the Current Population Survey examining the effects of the COVID-19 crisis on parental status and gender inequalities in employment in the United States. We show that the drop in the employment rate in post-outbreak months was largely driven by mass layoffs and not by workers quitting their jobs. Results from fixed-effects regression models show a strong fatherhood premium in the likelihood of being laid off for post-outbreak months compared to mothers, men without children, and women without children. We also found that the “fatherhood premium” was higher among lower-educated and mid-educated workers. These findings show that gaps in layoff rates exacerbated pre-existing forms of parental status and gender inequality in employment. Possible mechanisms are discussed, but more work is needed to explain why employers were less likely to lay off fathers following the outbreak, and the short- and long-term consequences of the COVID-19 pandemic in reinforcing parental status and gender inequality in employment in the United States.

A large body of sociological research has shown that racial minorities and women experience significant disadvantages in the labor market. In this visualization, the author presents evidence from the Current Population Survey examining the effects of the coronavirus disease 2019 crisis on racial and gender inequalities in employment in the United States among prime-age workers. The author shows that the white-nonwhite gap in employment increased significantly during the post-outbreak period. Results from individual fixed-effects regression models show a strong white male advantage in the likelihood of being laid off for post-outbreak months compared with women, black men, Hispanic men, and Asian men.

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Field experiments have proliferated throughout the social sciences and have become a mainstay for identifying racial discrimination during the hiring process. To date, field experiments of labor market discrimination have generally drawn their sample of job postings from limited sources, often from a single major online job posting website. While providing a large pool of job postings across labor markets, this narrow sampling procedure leaves open questions about the generalizability of the findings from field experiments of racial discrimination in the extant literature. In this paper, we present evidence from a field experiment examining racial discrimination in the hiring process that draws its sample from two sources: (1) a national online job posting website that aligns with previous research, and (2) a job aggregator service that scrapes the web daily in an effort to obtain all online job postings in the United States. While differing in the types of information they collect, we find the job postings drawn from the two sources result in similar estimates of discrimination against Black applicants. In other words, we do not find evidence that racial discrimination varies by the source of the job posting. We conclude by discussing the implications of these findings for studies of racial discrimination, discrimination along other axes of social difference, as well as field-experimental methods more broadly.

Prior research has shown how racial segregation and isolation are strongly associated with high rates of minority victimization in the United States. I focus the empirical tests of this model on Brazil, a multiracial country with high rates of minority victimization. Using data from the 2010 Brazilian census and vital statistics from the Ministry of Health for 129 Brazilian cities, results reveal racial isolation is a strong predictor of Afro-Brazilian homicide rates, net of race-specific socioeconomic indicators and other contextual factors. Contrary to prior studies, however, this model shows racial evenness is not associated with Afro-Brazilian homicide rates. The findings also reveal that a higher percentage of Afro-Brazilian families headed by single mothers, low levels of education, and general income inequality are strong predictors of Afro-Brazilian homicides. I discuss the implications of these findings for existing research and for current policies aimed at reducing rates of victimization.