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Sources of Bias in Women's Wage Equations: Results Using Sibling Data Author info | Abstract | Publisher info | Download info | Related research | Statistics David Neumark
Sanders Korenman
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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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
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Date of creation: Mar 1992Date of revision:
Handle: RePEc:nbr:nberwo:4019Note: LSContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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