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Fields of training, plant characteristics and the gender wage gap in entry wages among skilled workers– Evidence from German administrative data

  • Nils Braakmann

    ()

    (Institute of Economics, Leuphana University of Lüneburg)

This paper investigates the gender wage gap among skilled German workers after the end of vocational training using data from social security record. Using information on worker and plant characteristics for both the training plant and the current employer, results from standard decomposition techniques show that up to 91% of an initial 14% earnings disadvantage for women in the first job can be attributed to differences in endowments. Of these, occupational segegreation explains up to two thirds of the earnings gap, with plant characteristics accounting for up to 30%.

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Paper provided by University of Lüneburg, Institute of Economics in its series Working Paper Series in Economics with number 90.

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Length: 29 pages
Date of creation: Jul 2008
Date of revision:
Handle: RePEc:lue:wpaper:90
Contact details of provider: Web page: http://leuphana.de/institute/ivwl.html

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  1. Doris Weichselbaumer & Rudolf Winter-Ebmer, 2005. "A Meta-Analysis of the International Gender Wage Gap," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 479-511, 07.
  2. Machin, Stephen & Puhani, Patrick A., 2003. "Subject of degree and the gender wage differential: evidence from the UK and Germany," Economics Letters, Elsevier, vol. 79(3), pages 393-400, June.
  3. Alexandre Mas & Enrico Moretti, 2006. "Peers at Work," NBER Working Papers 12508, National Bureau of Economic Research, Inc.
  4. Heinze, Anja, 2009. "Earnings of Men and Women in Firms with a Female Dominated Workforce: What Drives the Impact of Sex Segregation on Wages?," ZEW Discussion Papers 09-012, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  5. David Autor & Frank Levy & Richard Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
  6. Moretti, Enrico, 2004. "Estimating the social return to higher education: evidence from longitudinal and repeated cross-sectional data," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 175-212.
  7. Joseph G. Altonji & Rebecca M. Blank, . "Race and Gender in the Labor Market," IPR working papers 98-18, Institute for Policy Resarch at Northwestern University.
  8. Kirby, Simon & Riley, Rebecca, 2008. "The external returns to education: UK evidence using repeated cross-sections," Labour Economics, Elsevier, vol. 15(4), pages 619-630, August.
  9. Sami Napari, 2008. "The Early-career Gender Wage Gap among University Graduates in the Finnish Private Sector," LABOUR, CEIS, vol. 22(4), pages 697-733, December.
  10. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
  11. Oreopoulos, Philip & Wachter, Till von & Heisz, Andrew, 2008. "The Short- and Long-Term Career Effects of Graduating in a Recession: Hysteresis and Heterogeneity in the Market for College Graduates," IZA Discussion Papers 3578, Institute for the Study of Labor (IZA).
  12. Broder, Ivy E, 1993. "Professional Achievements and Gender Differences among Academic Economists," Economic Inquiry, Western Economic Association International, vol. 31(1), pages 116-27, January.
  13. Dolton, P J & Makepeace, G H, 1986. "Sample Selection and Male-Female Earnings Differentials in the Graduate Labour Market," Oxford Economic Papers, Oxford University Press, vol. 38(2), pages 317-41, July.
  14. Arnaud Chevalier, 2007. "Education, Occupation and Career Expectations: Determinants of the Gender Pay Gap for UK Graduates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 819-842, December.
  15. Kunze, Astrid, 2005. "The evolution of the gender wage gap," Labour Economics, Elsevier, vol. 12(1), pages 73-97, February.
  16. Pedro Martins & Jim Jin, 2010. "Firm-level social returns to education," Journal of Population Economics, Springer, vol. 23(2), pages 539-558, March.
  17. Fitzenberger, Bernd & Kunze, Astrid, 2005. "Vocational Training and Gender: Wages and Occupational Mobility among Young Workers," IZA Discussion Papers 1766, Institute for the Study of Labor (IZA).
  18. Iris Koch & Holger Meinken, 2004. "The Employment Panel of the German Federal Employment Agency," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 124(2), pages 315-325.
  19. Kahn, Lisa B., 2010. "The long-term labor market consequences of graduating from college in a bad economy," Labour Economics, Elsevier, vol. 17(2), pages 303-316, April.
  20. Brown, Charles & Corcoran, Mary, 1997. "Sex-Based Differences in School Content and the Male-Female Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 431-65, July.
  21. Harminder Battu & Clive R. Belfield & Peter J. Sloane, 2003. "Human Capital Spillovers within the Workplace: Evidence for Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 575-594, December.
  22. Formby, John P & Gunther, William D & Sakano, Ryoichi, 1993. "Entry Level Salaries of Academic Economists: Does Gender or Age Matter?," Economic Inquiry, Western Economic Association International, vol. 31(1), pages 128-38, January.
  23. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
  24. Paul Oyer, 2006. "Initial Labor Market Conditions and Long-Term Outcomes for Economists," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 143-160, Summer.
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