TY  - JOUR
AU  - Neumark,David
AU  - Korenman,Sanders
TI  - Sources of Bias in Women's Wage Equations: Results Using Sibling Data
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 4019
PY  - 1992
Y2  - March 1992
UR  - http://www.nber.org/papers/w4019
L1  - http://www.nber.org/papers/w4019.pdf
N1  - Author contact info:
David Neumark
Department of Economics
University of California at Irvine
3151 Social Science Plaza
Irvine, CA  92697
Tel: 949-824-8496
Fax: 949/824-2182
E-Mail: dneumark@uci.edu

Sanders Korenman
School of Public Affairs
Baruch College
135 E. 22nd Street, Box D-900
New York, NY  10010
Tel: 646/660-6782
Fax: 646/660-6770
E-Mail: sanders.korenman@baruch.cuny.edu
AB  - 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.
ER  -