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Same Work, Different Pay? Evidence from a US Public University

Author

Listed:
  • Melissa Binder
  • Kate Krause
  • Janie Chermak
  • Jennifer Thacher
  • Julia Gilroy

Abstract

This study examines detailed data for faculty at a typical public research university in the United States between 1995 and 2004 to explore whether gender wage differentials can be explained by productivity differences. The level of detail - including the number of courses taught, enrollment, grant dollars, and number and impact of publications - largely eliminates the problem of unmeasured productivity, and the restriction to one firm eliminates unmeasured work conditions that confound investigations of wider labor markets. The authors find that direct productivity measures reduce the gender wage penalty to about 3 percent, only 1 percentage point lower than estimates from national studies of many institutions and with fewer productivity controls. The wage structure for women faculty differs markedly from the wage structure for men. Interpreted against the institutional features of wage setting for this population, the paper concludes that penalties for women arise at the department level.

Suggested Citation

  • Melissa Binder & Kate Krause & Janie Chermak & Jennifer Thacher & Julia Gilroy, 2010. "Same Work, Different Pay? Evidence from a US Public University," Feminist Economics, Taylor & Francis Journals, vol. 16(4), pages 105-135.
  • Handle: RePEc:taf:femeco:v:16:y:2010:i:4:p:105-135 DOI: 10.1080/13545701.2010.530605
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    References listed on IDEAS

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    1. Tania Burchardt, 2008. "Time and Income Poverty," CASE Reports casereport57, Centre for Analysis of Social Exclusion, LSE.
    2. Wodon, Quentin & Beegle, Kathleen, 2006. "Labor Shortages Despite Underemployment? Seasonality in Time Use in Malawi," MPRA Paper 11083, University Library of Munich, Germany.
    3. Alan Gelb, 2001. "Gender and Growth : Africa's Missed Potential," World Bank Other Operational Studies 9789, The World Bank.
    4. Seleka, Tebogo B., 1999. "The performance of Botswana's traditional arable agriculture: growth rates and the impact of the accelerated rainfed arable programme (ARAP)," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 20(2), March.
    5. Apps, Patricia, 2003. "Gender, Time Use and Models of the Household," IZA Discussion Papers 796, Institute for the Study of Labor (IZA).
    6. C. Mark Blackden & Quentin Wodon, 2006. "Gender, Time Use, and Poverty in Sub-Saharan Africa," World Bank Publications, The World Bank, number 7214.
    7. Christiaensen, Luc & Scott, Christopher & Wodon, Quentin, 2002. "Poverty Measurement and Analysis," MPRA Paper 45362, University Library of Munich, Germany.
    8. Maria Sagrario Floro & Marjorie Miles, 2003. "Time use, work and overlapping activities: evidence from Australia," Cambridge Journal of Economics, Oxford University Press, vol. 27(6), pages 881-904, November.
    9. Hoddinott, John & Haddad, Lawrence, 1995. "Does Female Income Share Influence Household Expenditures? Evidence from Cote d'Ivoire," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 77-96, February.
    10. Haddad, Lawrence, 1999. "The income earned by women: impacts on welfare outcomes," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 20(2), March.
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    Cited by:

    1. Marlene Kim, 2013. "Race and ethnicity in the workplace," Chapters,in: Handbook of Research on Gender and Economic Life, chapter 14, pages 218-235 Edward Elgar Publishing.
    2. repec:spr:jlabre:v:38:y:2017:i:3:d:10.1007_s12122-017-9254-7 is not listed on IDEAS

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