Although women make up nearly half the U.S. workforce, most studies of earnings inequality focus on men. This is at least in part because of the complexity of modeling both the decision to work (i.e., the extensive margin) and the level of earnings conditional on work (the intensive margin). In...

We explore several problems in drawing causal inferences from cross-sectional relationships between marriage, motherhood, and wages. We find that heterogeneity leads to biased estimates of the quot;directquot; effects of marriage and motherhood on wages (i.e., effects net of experience and...

We use data on sisters to jointly address heterogeneity bias and endogeneity bias in estimates of wage equations for women. This analysis yields evidence of biases in OLS estimates of wage equations for white and black women, some of which are detected only when these two sources of bias are...

The human capital explanation of sex differences in wages is that women intend to work in the labor market more intermittently than men, and therefore invest less. This lower investment leads to lower wages and wage growth. The alternative "feedback" hypothesis consistent with the same facts is...

Using Census and Current Population Survey data spanning 1959 through 1999, we assess the relative contributions of two factors to the decline in the gender wage gap: changes across cohorts in the relative slopes of men%u2019s and women%u2019s age-earnings profiles, versus changes in relative...

Single women in the U.S. dominated the female labor force from 1870 to 1920. Data on the home life and working conditions of women in 1888 and 1907 enable the estimation of earnings functions. Work in the manufacturing sector for these women was task oriented and payment was frequently by the...