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Decomposing Gender Differences in College Student Earnings Expectations

Author

Listed:
  • Liam Delaney

    (UCD Geary Institute, University College Dublin, Ireland)

  • Colm Harmon

    (UCD Geary Institute, University College Dublin, Ireland)

  • Cathy Remond

    (UCD Geary Institute, University College Dublin, Ireland)

Abstract

Despite the increasing coverage and prevalence of equality legislation and the general alignment of key determining characteristics such as educational attainment, gender differentials continue to persist in labour market outcomes, including earnings. Recently, evidence has been found supporting the role of typically unobserved non-cognitive factors in explaining these gender differentials. We contribute to this literature by testing whether gender gaps in the earnings expectations of a representative group of Irish university students are explained by simultaneously controlling for gender heterogeneity across a wide array of cognitive and noncognitive factors. Non-cognitive factors were found to play a significant role in explaining the gender gap, however, gender differentials persist even after controlling for an extensive range of cognitive and non-cognitive factors. Nearly three-quarters of the short run and two-thirds of the long run differential could not be explained.

Suggested Citation

  • Liam Delaney & Colm Harmon & Cathy Remond, 2010. "Decomposing Gender Differences in College Student Earnings Expectations," Working Papers 201038, Geary Institute, University College Dublin.
  • Handle: RePEc:ucd:wpaper:201038
    as

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    File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201038.pdf
    File Function: First version, 2010
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    References listed on IDEAS

    as
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    Cited by:

    1. César Alonso-Borrego & Antonio Romero-Medina, 2016. "Wage Expectations for Higher Education Students in Spain," LABOUR, CEIS, vol. 30(1), pages 1-17, March.

    More about this item

    Keywords

    Gender; Education; Inequality; Discrimination; Earnings Expectations.;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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