Search Results

Title: Sources of Bias in Women's Wage Equations: Results Using Sibling Data
Resulting in 1 citation.
1. Neumark, David B.
Korenman, Sanders D.
Sources of Bias in Women's Wage Equations: Results Using Sibling Data
NBER Working Paper No. 4019, National Bureau of Economic Research, March 1992.
Also: http://nber.nber.org/papers/W4019
Cohort(s): Young Women
Publisher: National Bureau of Economic Research (NBER)
Keyword(s): Educational Attainment; Endogeneity; Family Size; Gender Differences; Job Tenure; Marital Status; Racial Differences; Siblings; Simultaneity; Wage Equations; Wages, Women; Work Experience

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 addressed simultaneously. For both white and black women there is evidence of upward bias in the estimated returns to schooling. Bias-corrected estimates of the effect of marriage on wages, for white women, suggest a positive marriage premium. We also use the sibling data to identify our models, and test a number of other commonly used identifying assumptions as overidentifying restrictions.
Bibliography Citation
Neumark, David B. and Sanders D. Korenman. "Sources of Bias in Women's Wage Equations: Results Using Sibling Data." NBER Working Paper No. 4019, National Bureau of Economic Research, March 1992.