racial wage gap
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2021 ◽  
Vol 111 (10) ◽  
pp. 3418-3457
Author(s):  
François Gerard ◽  
Lorenzo Lagos ◽  
Edson Severnini ◽  
David Card

We measure the effects of firm policies on racial pay differences in Brazil. Non-Whites are less likely to be hired by high-wage firms, explaining about 20 percent of the racial wage gap for both genders. Firm-specific pay premiums for non-Whites are also compressed relative to Whites, contributing another 5 percent for that gap. A counterfactual analysis reveals that about two-thirds of the underrepresentation of non-Whites at higher-wage firms is explained by race-neutral skill-based sorting. Non-skill-based sorting and differential wage setting are largest for college-educated workers, suggesting that the allocative costs of discriminatory hiring and pay policies may be relatively large in Brazil. (JEL J15, J24, J31, J41, J46, J71, O15)


2021 ◽  
Vol 111 ◽  
pp. 196-200
Author(s):  
Jamein P. Cunningham ◽  
Jose Joaquin Lopez

We present new evidence on three measures of civil rights enforcement--litigation, judge dismissal, and plaintiff win rates--across US district courts from 1979 to 2016. Across courts, higher shares of Republican judges are associated with higher dismissal rates regardless of court composition in terms of gender and race. Further, we find that states with higher litigation rates also exhibit higher racial wage gaps, whereas states with higher judge dismissal (plaintiff win) rates experience higher (lower) racial wage gaps. Our results highlight the importance of legal institutions on the persistence of racial inequality.


2021 ◽  
Vol 111 ◽  
pp. 201-205
Author(s):  
Peter Q. Blair ◽  
Bobby W. Chung

We develop a model of statistical discrimination in occupational licensing with endogenous occupation selection and wage determination. We find a unique equilibrium with sharp comparative statics. Our key theoretical result is that the licensing premium is higher for workers who are members of demographic groups that face a higher cost of licensing. The predictions of the model can explain, for example, the empirical finding in the literature that occupational licenses that preclude felons close the racial wage gap among men by conferring a higher premium to Black men than to White men (Blair and Chung 2018).


2021 ◽  
pp. 1-6
Author(s):  
Edmond Berisha ◽  
Ram Sewak Dubey ◽  
Zaman Zamanian

2020 ◽  
pp. 073088842096814
Author(s):  
Shinjinee Chattopadhyay ◽  
Emily C. Bianchi

Researchers have long documented a significant wage gap between White and Black workers, at least some of which is attributable to discrimination. Drawing on research suggesting that discrimination increases during recessions, we test whether the racial wage gap expands during economic downturns. Using longitudinal wage data from the Panel Study of Income Dynamics over a 40-year time period (N = 18,954), we find that the wage gap between Black and White workers increases with the unemployment rate. Moreover, we find that the cyclical wage gap is more pronounced in states in which Whites hold more negative attitudes about Blacks and in states with larger Black populations, suggesting that the racial wage gap expansion during recessions is at least partially driven by discrimination. Finally, we find evidence for at least two mechanisms by which the wage gap expands during recessions. First, we find that Black workers are more likely to lose their jobs during downturns and earn lower wages upon reemployment than comparable Whites. Second, we find that Black hourly workers are slightly more likely to have their hours reduced during recessions than White hourly workers, thereby resulting in lower earnings. These findings suggest that the racial wage gap widens during recessions and that discrimination accounts for at least some of this expansion.


2020 ◽  
Vol 146 ◽  
pp. 102519
Author(s):  
Guilherme Hirata ◽  
Rodrigo R. Soares
Keyword(s):  
Wage Gap ◽  

2020 ◽  
Author(s):  
Nicholas H Tenev

How much of the wage gap between black workers and others in the US owes to differences in jobs found through social connections? Panel data from the NLSY79 are used to estimate a job search model in which individual human capital is distinguished from social capital by comparing the wages and frequency of jobs found directly with those of jobs found through friends. Jobs found through friends tend to pay more, but this premium is lower for black workers; the difference can account for 10% of the racial wage gap.


2019 ◽  
Vol 13 (3) ◽  
pp. 479-518
Author(s):  
Melinda Petre
Keyword(s):  
Wage Gap ◽  

2018 ◽  
Vol 25 (87) ◽  
pp. 568-588
Author(s):  
Gustavo Saraiva Frio ◽  
Luiz Felipe Campos Fontes

ABSTRACT Throughout the 2000s Brazil went through a great phase of economic development. The present study seeks to investigate whether this movement was accompanied by a reduction in inequality in the labor market, measured here by the wage gap between whites and non-whites. To do so, three cohorts of time (2002-2004, 2007-2009 and 2012-2014) were analyzed using the microdata of the National Household Sampling Survey (Pesquisa Nacional de Amostragem Domiciliar - Pnad). The applied method is the counterfactual Oaxaca-Blinder along with the Recentered Influence Function Regression (RIF-Regression) so that the main determinants of wage inequalities can be detailed throughout the salary distribution. Our results showed that wage gap (totals, due to observed factors and discrimination) are higher in the higher quantiles of the distribution, that is, in professions or activities with higher wages. The results also point that the wage gap between the groups decreased during the analyzed period, which was mainly due to observable characteristics, especially educational levels. However, discrimination decreased only between the first and second triennium and in low magnitude. Apart from that, the main determinants of racial wage gap are returns related to education, experience and professions considered unregulated (self-employment and informal workers).


2018 ◽  
Vol 79 (7) ◽  
pp. 863-875 ◽  
Author(s):  
Quinn Galbraith ◽  
Heather Kelley ◽  
Michael Groesbeck

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