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Sources of Bias in Women's Wage Equations: Results Using Sibling Data

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  • David Neumark
  • Sanders Korenman

Abstract

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.

Suggested Citation

  • David Neumark & Sanders Korenman, 1992. "Sources of Bias in Women's Wage Equations: Results Using Sibling Data," NBER Working Papers 4019, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:4019 Note: LS
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    References listed on IDEAS

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    1. Sanders Korenman & David Neumark, 1992. "Marriage, Motherhood, and Wages," Journal of Human Resources, University of Wisconsin Press, vol. 27(2), pages 233-255.
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    13. Wright, Robert E & Ermisch, John F, 1991. "Gender Discrimination in the British Labour Market: A Reassessment," Economic Journal, Royal Economic Society, vol. 101(406), pages 508-522, May.
    14. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 979-1014.
    15. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
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