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Determination Of Participation Decision, Hiring Decision, And Wages In A Double Selection Framework: Male‐Female Wage Differentials In The U.S. Labor Market Revisited

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  • MS Mohanty

Abstract

The magnitude of the male‐female wage differential is known to be highly sensitive to the specification of the wage equations used. An important source of misspecification is the failure to correct the sample selection bias that results from estimating the wage equation obtained through two sequential decisions: the worker's decision to participate in the labor market and the employer's decision to hire. Estimation of the wage equation ignoring this double selection process leads to biased estimates, and consequently the resulting male‐female wage differentials are likely to be misleading. Following a double selection approach and using a sample from the National Longitudinal Survey of Youth, this article examines the determinants of not only the wage equation but also the worker's participation and the employer's hiring decisions in both male and female samples. The study further demonstrates that the unexplained male‐female wage differential remains underestimated when the roles of both selection decisions are ignored in the estimation of wage equations.

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  • MS Mohanty, 2001. "Determination Of Participation Decision, Hiring Decision, And Wages In A Double Selection Framework: Male‐Female Wage Differentials In The U.S. Labor Market Revisited," Contemporary Economic Policy, Western Economic Association International, vol. 19(2), pages 197-212, April.
    • Handle: RePEc:bla:coecpo:v:19:y:2001:i:2:p:197-212
    DOI: 10.1111/j.1465-7287.2001.tb00061.x
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    1. Meng, Chun-Lo & Schmidt, Peter, 1985. "On the Cost of Partial Observability in the Bivariate Probit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(1), pages 71-85, February.
    2. Francine D. Blau & Andrea H. Beller, 1988. "Trends in Earnings Differentials by Gender, 1971–1981," ILR Review, Cornell University, ILR School, vol. 41(4), pages 513-529, July.
    3. 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.
    4. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    5. Fisher, Gordon R. & McAleer, Michael, 1981. "Alternative procedures and associated tests of significance for non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 16(1), pages 103-119, May.
    6. 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.
    7. 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.
    8. Krishnan, Pramila, 1990. "The Economics of Moonlighting: A Double Self-Selection Model: Errata," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 712-712, November.
    9. Krishnan, Pramila, 1990. "The Economics of Moonlighting: A Double Self-Selection Model," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 361-367, May.
    10. 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.
    11. Elaine Sorensen, 1989. "Measuring the Pay Disparity between Typically Female Occupations and other Jobs: A Bivariate Selectivity Approach," ILR Review, Cornell University, ILR School, vol. 42(4), pages 624-639, July.
    12. Lee, Lung-Fei, 1978. "Unionism and Wage Rates: A Simultaneous Equations Model with Qualitative and Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 415-433, June.
    13. 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.
    14. Tom Larson & Madhu Mohanty, 1999. "Minority youth employment, residential location, and neighborhood jobs: A study of Los Angeles County," The Review of Black Political Economy, Springer;National Economic Association, vol. 27(2), pages 33-62, December.
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    1. Alisher Aldashev & Johannes Gernandt & Stephan L. Thomsen, 2007. "Language Usage, Participation, Employment and Earnings," FEMM Working Papers 07018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    2. Baffoe-Bonnie, John & Ezeala-Harrison, Fidelis, 2005. "Incidence and duration of unemployment spells: Implications for the male-female wage differentials," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 824-847, September.
    3. John Baffoe-Bonnie, 2009. "Black–White Wage Differentials in a Multiple Sample Selection Bias Model," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 37(1), pages 1-16, March.
    4. Mohanty, Madhu S., 2009. "Effects of positive attitude on earnings: Evidence from the US longitudinal data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 357-371, March.
    5. Aldashev, Alisher & Gernandt, Johannes & Thomsen, Stephan L., 2009. "Language usage, participation, employment and earnings: Evidence for foreigners in West Germany with multiple sources of selection," Labour Economics, Elsevier, vol. 16(3), pages 330-341, June.
    6. GÓMEZ , Nuria & TOBARRA, María-Ángeles & LÓPEZ, Luis-Antonio, 2014. "Employment Opportunities In Spain: Gender Differences By Education And Ict Usage," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 14(3), pages 105-130.
    7. Mohanty, Madhu Sudan, 2012. "Effects of positive attitude and optimism on wage and employment: A double selection approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(3), pages 304-316.

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