TY - JOUR
T1 - Effects of individual, occupational, and industrial characteristics on earnings
T2 - Intersections of race and gender
AU - Kilbourne, Barbara
AU - England, Paula
AU - Beron, Kurt
N1 - Funding Information:
Association Society, Chattanooga, IN. The authors thank Rachel Rosenfeld, Karen Campbell, Daniel Cornfield, and Larry Griffin for comments on earlier drafts. This research was supported, in part, by grants from the National Science Foundation and the Rockefeller Foundation. Address correspondence to Barbara Kilbourne, Department of Sociology, Vanderbilt University, Nashville, IN 37240.
PY - 1994/6
Y1 - 1994/6
N2 - Critics of the “women’s agenda” in both research and policy have complained of its exclusive focus on the experiences of white women. They maintain that as a result of this focus, we know relatively little about the experiences of black women in the labor market compared to those of white women. This article concentrates on generalizations regarding the effects of experience, education, marital status, occupational characteristics, and industrial sector on earnings. To investigate how these variables interact with gender and race to affect pay, we use fixed effects on panel data (1966–81) from the National Longitudinal Survey (NLS). We use regression decomposition to ascertain (1) what factors explain the gender gap in earnings and whether these factors explain the same portion of this gap among blacks and whites, and (2) what factors explain the race gap in earnings and whether these factors explain the same portion of this gap among women and men.
AB - Critics of the “women’s agenda” in both research and policy have complained of its exclusive focus on the experiences of white women. They maintain that as a result of this focus, we know relatively little about the experiences of black women in the labor market compared to those of white women. This article concentrates on generalizations regarding the effects of experience, education, marital status, occupational characteristics, and industrial sector on earnings. To investigate how these variables interact with gender and race to affect pay, we use fixed effects on panel data (1966–81) from the National Longitudinal Survey (NLS). We use regression decomposition to ascertain (1) what factors explain the gender gap in earnings and whether these factors explain the same portion of this gap among blacks and whites, and (2) what factors explain the race gap in earnings and whether these factors explain the same portion of this gap among women and men.
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U2 - 10.1093/sf/72.4.1149
DO - 10.1093/sf/72.4.1149
M3 - Article
AN - SCOPUS:0028551103
SN - 0037-7732
VL - 72
SP - 1149
EP - 1176
JO - Social Forces
JF - Social Forces
IS - 4
ER -