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Education, Variation in Earnings, and Nonmonetary Compensation

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  • Alan D. Mathios

Abstract

The NAS-NRC Twin Offspring data support the proposition that for those with low levels of education, earnings may be an adequate proxy for compensation, whereas the opposite holds for highly educated individuals. The inclusion of variables that control for reasons (monetary or nonmonetary) individuals chose their occupation explains an additional 9 percent of the variation in earnings for those with 16 or more years of education (and lowers the male female wage gap by almost 40 percent) and only an additional 2 percent for those with 15 years or less (no affect on male-female wage gap).

Suggested Citation

  • Alan D. Mathios, 1989. "Education, Variation in Earnings, and Nonmonetary Compensation," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 456-468.
    • Handle: RePEc:uwp:jhriss:v:24:y:1989:i:3:p:456-468
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    Cited by:

    1. Izabela Ostoj, 2018. "Reasons full-time students of economics in Poland undertake jobs," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 19(1), pages 117-131.
    2. Novak, Jiri & Bilinski, Pawel, 2018. "Social stigma and executive compensation," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 169-184.
    3. Charles Zech, 2007. "The Agency Relationship in Churches: An Empirical Analysis," American Journal of Economics and Sociology, Wiley Blackwell, vol. 66(4), pages 727-746, October.
    4. Bryanna Duca & Anita Alves Pena, 2023. "Using Restricted-Access ACS Data to Examine Economic and Noneconomic Factors of Interstate Migration By Race and Ethnicity," Working Papers 23-12, Center for Economic Studies, U.S. Census Bureau.
    5. Wells, Robert, 2010. "An examination of the utility bearing characteristics of occupations: A factor analytical approach," Economics Letters, Elsevier, vol. 108(3), pages 296-298, September.
    6. Garcia-Aracil, Adela & Winter, Carolyn, 2006. "Gender and ethnicity differentials in school attainment and labor market earnings in Ecuador," World Development, Elsevier, vol. 34(2), pages 289-307, February.
    7. Delfgaauw, Josse, 2007. "The effect of job satisfaction on job search: Not just whether, but also where," Labour Economics, Elsevier, vol. 14(3), pages 299-317, June.
    8. Maria Abreu & Alessandra Faggian & Philip McCann, 2011. "Migration and inter-industry mobility of UK graduates: Effect on earnings and career satisfaction," ERSA conference papers ersa11p118, European Regional Science Association.
    9. Luis Vila & Belen Garcia-Mora, 2005. "Education and the Determinants of Job Satisfaction," Education Economics, Taylor & Francis Journals, vol. 13(4), pages 409-425.
    10. Josse Delfgaauw, 2005. "Where to go? Workers' Reasons to quit and Intra- versus Interindustry Job Mobility," Tinbergen Institute Discussion Papers 05-027/1, Tinbergen Institute, revised 08 Aug 2005.
    11. Francisco Perales, 2017. "Dynamics of job satisfaction around internal migrations: a panel analysis of young people in Britain and Australia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(3), pages 577-601, November.
    12. Rafael Muñoz de Bustillo & Enrique Fernández-Macías & José-Ignacio Antón & Fernando Esteve, 2011. "Measuring More than Money," Books, Edward Elgar Publishing, number 14072.

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