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Who Marries Differently Aged Spouses? Ability, Education, Occupation, Earnings, and Appearance

Author

Listed:
  • Hani Mansour

    (University of Colorado Denver and IZA)

  • Terra McKinnish

    (University of Colorado Boulder)

Abstract

In direct contrast to conventional wisdom and most economic models of marital age gaps, we present robust evidence that men and women who are married to differently aged spouses are negatively selected. Empirical results show lower cognitive ability, lower educational attainment, lower occupational wages, lower earnings, and less attractive appearance among those married to a differently aged spouse. These results, obtained using samples of first marriages and controlling for age of marriage, are consistent with a model in which individuals with more schooling and more upwardly mobile occupations interact more heavily with similarly aged peers and are ultimately more likely to marry similarly aged spouses. © 2014 The President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Hani Mansour & Terra McKinnish, 2014. "Who Marries Differently Aged Spouses? Ability, Education, Occupation, Earnings, and Appearance," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 577-580, July.
  • Handle: RePEc:tpr:restat:v:96:y:2014:i:3:p:577-580
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    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/REST_a_00377
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    Citations

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    Cited by:

    1. Angela Carollo & Anna Oksuzyan & Sven Drefahl & Carlo Giovanni Camarda & Linda Juel Ahrenfeldt & Kaare Christensen & Alyson van Raalte, 2019. "Is the age difference between partners related to women's earnings?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(15), pages 425-460.
    2. Germinario, Giuseppe & Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2022. "What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79," Labour Economics, Elsevier, vol. 79(C).
    3. Hani Mansour & Terra McKinnish, 2023. "Male wage inequality and characteristics of “early mover” marriages," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 115-138, January.
    4. Elisa Taveras, 2023. "The effect of spouses' relative education on household time allocation," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 788-829, January.
    5. Anderberg, Dan & Bagger, Jesper & Bhaskar, V. & Wilson, Tanya, 2019. "Marriage Market Equilibrium, Qualifications, and Ability," IZA Discussion Papers 12210, Institute of Labor Economics (IZA).
    6. Wang-Sheng Lee & Terra McKinnish, 2018. "The marital satisfaction of differently aged couples," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(2), pages 337-362, April.
    7. Hani Mansour & Terra McKinnish, 2018. "Same-occupation spouses: preferences or search costs?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(4), pages 1005-1033, October.
    8. Sonia Oreffice, 2014. "Culture and Household Decision Making. Balance of Power and Labor Supply Choices of US-Born and Foreign-Born Couples," Journal of Labor Research, Springer, vol. 35(2), pages 162-184, June.
    9. Alexander Stimpfle & David Stadelmann, 2016. "Marriage Age Affects Educational Gender Inequality: International Evidence," CREMA Working Paper Series 2016-02, Center for Research in Economics, Management and the Arts (CREMA).
    10. Mansour, Hani & McKinnish, Terra, 2014. "Same-Occupation Spouses: Preferences and Search Costs," IZA Discussion Papers 8370, Institute of Labor Economics (IZA).
    11. Eiji Yamamura & Yoshiro Tsutsui, 2021. "Spousal age gap and identity and their impact on the allocation of housework," Empirical Economics, Springer, vol. 60(2), pages 1059-1083, February.
    12. Youjin Hahn & Kanti Nuzhat & Hee-Seung Yang, 2018. "The effect of female education on marital matches and child health in Bangladesh," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 915-936, July.
    13. Youjin Hahn & Asadul Islam & Kanti Nuzhat & Russell Smyth & Hee-Seung Yang, 2018. "Education, Marriage, and Fertility: Long-Term Evidence from a Female Stipend Program in Bangladesh," Economic Development and Cultural Change, University of Chicago Press, vol. 66(2), pages 383-415.
    14. Redpath, Connor, 2022. "Spousal Visa Policy and Mixed-Citizenship Couples: Evidence from the End of the Defense Of Marriage Act," SocArXiv mzuwe, Center for Open Science.
    15. Yamamura, Eiji & Tsutsui, Yoshiro, 2019. "Spousal gaps in age and identity, and their impact on the allocation of housework," MPRA Paper 92059, University Library of Munich, Germany.
    16. Makate, Marshall & Nyamuranga, Chamunorwa, 2024. "Changing the mindsets? Education and the intergenerational spread of tolerance for physical violence against women in Zimbabwe," Economics & Human Biology, Elsevier, vol. 52(C).
    17. Songtao Yang, 2022. "The effects of compulsory schooling reforms on women’s marriage outcomes—evidence from Britain," Empirical Economics, Springer, vol. 63(3), pages 1637-1662, September.
    18. Dan Anderberg & Jesper Bagger & V. Bhaskar & Tanya Wilson, 2022. "Marriage market equilibrium with matching on latent ability: Identification using a compulsory schooling expansion," Working Papers 2022_11, Business School - Economics, University of Glasgow.

    More about this item

    Keywords

    marriage; marital age gaps; economic models of marriage; occupational wages; education;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • Z1 - Other Special Topics - - Cultural Economics

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