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Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note

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  • Shoshana Neuman
  • Ronald Oaxaca

Abstract

This paper examines the implications of the standard Heckman (Heckit) correction for selectivity bias in wage and earnings functions that are subsequently used in wage decompositions. Even when justified, Heckit selectivity correction introduces some fundamental ambiguities in the context of wage decompositions. The ambiguities arise from group differences in the selection term which consists of a parameter multiplied by the Inverse Mills Ratio (IMR). The parameter is identified as the product of the standard deviation of the errors in the wage equation and the correlation between the wage equation error and the selection equation error. How should group differences in these parameters be interpreted in terms of structural differences and endowment effects? The same issue arises with respect to group differences in the IMR which reflect nonlinear group differences in the determinants of selection and in the probit coefficients. Copyright Kluwer Academic Publishers 2004

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  • Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(1), pages 3-10, April.
  • Handle: RePEc:kap:jecinq:v:2:y:2004:i:1:p:3-10
    DOI: 10.1023/B:JOEI.0000028395.38694.4b
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    References listed on IDEAS

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    1. Marvin H. Kosters, 1991. "Workers and Their Wages: Changing Patterns in the United States," Books, American Enterprise Institute, number 52907, September.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    5. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    6. Gronau, Reuben, 1974. "Wage Comparisons-A Selectivity Bias," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1119-1143, Nov.-Dec..
    7. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    8. Charles F. Manski, 1989. "Anatomy of the Selection Problem," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 343-360.
    9. Gregory M. Duncan & Duane E. Leigh, 1980. "Wage Determination in the Union and Nonunion Sectors: A Sample Selectivity Approach," ILR Review, Cornell University, ILR School, vol. 34(1), pages 24-34, October.
    10. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    11. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    12. Suen, Wing, 1997. "Decomposing Wage Residuals: Unmeasured Skill or Statistical Artifact?," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 555-566, July.
    13. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    14. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
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