Sources of Bias in Women's Wage Equations: Results Using Sibling Data / David Neumark, Sanders Korenman.

Format:

Book

Author/Creator:

Neumark, David.

Contributor:

National Bureau of Economic Research.

Korenman, Sanders.

Series:

Working Paper Series (National Bureau of Economic Research) no. w4019.

NBER working paper series no. w4019

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Other Title:

Sources of Bias in Women's Wage Equations

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 1992.

Summary:

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.

Notes:

Print version record

March 1992.