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The Impact of Racial Discrimination on the Early Career Outcomes of Young Men

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  • Francesco Renna
  • Randall King

Abstract

The NLSY dataset is utilized to measure the extent of employer wage discrimination between white and black males during their first 5 years of post-school employment. We look at the respondent’s first job and the jobs 1 and 5 years after school completion. Oaxaca wage decompositions are employed to gauge the effect of discrimination. Consistent with our hypothesis, we find that the discrimination component of the wage gap falls over time. For the first job out of school the unexplained wage gap between blacks and whites is 35%. By year 5, the unexplained component falls to about 13%. Thus, while discrimination continues to play a role in explaining the white–black wage gap over time, its impact decreases as time in the labor market increases. Copyright International Atlantic Economic Society 2007

Suggested Citation

  • Francesco Renna & Randall King, 2007. "The Impact of Racial Discrimination on the Early Career Outcomes of Young Men," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(3), pages 269-278, September.
  • Handle: RePEc:kap:atlecj:v:35:y:2007:i:3:p:269-278
    DOI: 10.1007/s11293-007-9070-1
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    References listed on IDEAS

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    1. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    2. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, September.
    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. Oettinger, Gerald S, 1996. "Statistical Discrimination and the Early Career Evolution of the Black-White Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 14(1), pages 52-78, January.
    5. Zvi Eckstein & Kenneth I. Wolpin, 1999. "Estimating The Effect Of Racial Discrimination On First Job Wage Offers," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 384-392, August.
    6. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    7. Lundberg, Shelly J & Startz, Richard, 1983. "Private Discrimination and Social Intervention in Competitive Labor Markets," American Economic Review, American Economic Association, vol. 73(3), pages 340-347, June.
    8. Bound, John & Holzer, Harry J, 1993. "Industrial Shifts, Skills Levels, and the Labor Market for White and Black Males," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 387-396, August.
    9. James J. Heckman, 1998. "Detecting Discrimination," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 101-116, Spring.
    10. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    11. June E. O'Neill & Dave M. O'Neill, 2005. "What Do Wage Differentials Tell Us about Labor Market Discrimination?," NBER Working Papers 11240, National Bureau of Economic Research, Inc.
    12. Joseph G. Altonji, 2005. "Employer Learning, Statistical Discrimination and Occupational Attainment," American Economic Review, American Economic Association, vol. 95(2), pages 112-117, May.
    13. Wolpin, Kenneth I, 1992. "The Determinants of Black-White Differences in Early Employment Careers: Search, Layoffs, Quits, and Endogenous Wage Growth," Journal of Political Economy, University of Chicago Press, vol. 100(3), pages 535-560, June.
    14. 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.
    15. 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.
    16. William A. Darity & Patrick L. Mason, 1998. "Evidence on Discrimination in Employment: Codes of Color, Codes of Gender," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 63-90, Spring.
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    More about this item

    Keywords

    Early career outcomes; Discrimination; Wage gap; J15; J31; J71;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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