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Estimating Gender Wage Gaps

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  • Judith A. McDonald
  • Robert J. Thornton

Abstract

Course research projects that use easy-to-access real-world data and that generate findings with which undergraduate students can readily identify are hard to find. The authors describe a project that requires students to estimate the current female-male earnings gap for new college graduates. The project also enables students to see to what extent female-male differences in college majors and types of first jobs affect the gender earnings gap. The data set is the annual salary survey reports of the National Association of Colleges and Employers (NACE) and is available in many colleges’ career placement offices. Moreover, the estimation procedure requires only basic Excel calculations.

Suggested Citation

  • Judith A. McDonald & Robert J. Thornton, 2011. "Estimating Gender Wage Gaps," The Journal of Economic Education, Taylor & Francis Journals, vol. 42(4), pages 405-413, October.
    • Handle: RePEc:taf:jeduce:v:42:y:2011:i:4:p:405-413
    DOI: 10.1080/00220485.2011.606094
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    References listed on IDEAS

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    1. Arcidiacono, Peter & Hotz, V. Joseph & Kang, Songman, 2012. "Modeling college major choices using elicited measures of expectations and counterfactuals," Journal of Econometrics, Elsevier, vol. 166(1), pages 3-16.
    2. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, April.
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    Cited by:

    1. Mendez-Carbajo, Diego & Dellachiesa, Alejandro, 2023. "Choice of data visualization tool: FRED or spreadsheets?," International Review of Economics Education, Elsevier, vol. 44(C).

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