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Do Employers Positively Discriminate Married Workers?

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  • McConnell, Brendon
  • Valladares-Esteban, Arnau

Abstract

In the US labor market, married men and women earn higher wages than their single counterparts. At the same time, individuals with higher cognitive and non-cognitive skills are more likely to be married. We extend the frameworks of Altonji and Pierret (2001) and Pinkston (2009) to the case of marriage and find no evidence that employers use marriage to statistically discriminate workers. Contrary to what statistical discrimination implies, the returns to being married increase with labor market experience. For women without experience being married is associated with a penalty. However, as experience increases, the relationship between wages and being married becomes positive. These findings are valuable in building a better understanding of the determinants of the marriage wage premium.

Suggested Citation

  • McConnell, Brendon & Valladares-Esteban, Arnau, 2023. "Do Employers Positively Discriminate Married Workers?," Economics Working Paper Series 2305, University of St. Gallen, School of Economics and Political Science.
    • Handle: RePEc:usg:econwp:2023:05
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    References listed on IDEAS

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    1. Patrick J. Bayer & Peter Arcidiacono & Aurel Hizmo, 2010. "Web Appendix: Beyond Signaling and Human Capital: Education and the Revelation of Ability," Working Papers 10-52, Duke University, Department of Economics.
    2. 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.
    3. Sanders Korenman & David Neumark, 1991. "Does Marriage Really Make Men More Productive?," Journal of Human Resources, University of Wisconsin Press, vol. 26(2), pages 282-307.
    4. de Linde Leonard, Megan & Stanley, T.D., 2015. "Married with children: What remains when observable biases are removed from the reported male marriage wage premium," Labour Economics, Elsevier, vol. 33(C), pages 72-80.
    5. Donna K. Ginther & Madeline Zavodny, 2001. "Is the male marriage premium due to selection? The effect of shotgun weddings on the return to marriage," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(2), pages 313-328.
    6. Peter Arcidiacono & Patrick Bayer & Aurel Hizmo, 2010. "Beyond Signaling and Human Capital: Education and the Revelation of Ability," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 76-104, October.
    7. Shelly Lundberg, 2012. "Personality and marital surplus," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-21, December.
    8. Esfandiar Maasoumi & Daniel L. Millimet & Dipanwita Sarkar, 2009. "Who Benefits from Marriage?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 1-33, February.
    9. Joshua C. Pinkston, 2009. "A Model of Asymmetric Employer Learning with Testable Implications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 367-394.
    10. Laura Pilossoph & Shu Lin Wee, 2021. "Household Search and the Marital Wage Premium," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 55-109, October.
    11. Stefania Albanesi & Claudia Olivetti, 2009. "Production, Market Production and the Gender Wage Gap: Incentives and Expectations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 80-107, January.
    12. Kate Antonovics & Robert Town, 2004. "Are All the Good Men Married? Uncovering the Sources of the Marital Wage Premium," American Economic Review, American Economic Association, vol. 94(2), pages 317-321, May.
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    More about this item

    Keywords

    Marriage Wage Premium; Employer Learning; Statistical Discrimination;
    All these keywords.

    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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