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Employment sector and pay gaps: Genetic and environmental influences

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  • Maczulskij, Terhi

Abstract

This paper uses data on Finnish twins to examine two questions regarding public sector labour markets. First, what are the genetic and environmental contributions to being a public sector employee, and second, are there wage gaps between public and private sector employees. The results indicate that 34 to 40% of the observed variance in the tendency to be a public sector employee can be attributed to genetic factors, with no influence of the shared environment. Furthermore, at least one-third of the genetic variance is mediated through educational attainment. The results from the wage gap analysis suggest that OLS estimates are downward biased. In fact, while OLS estimates indicate a negative wage gap for both males (seven per cent) and females (four per cent), the within-twin estimates do not indicate any inequalities with respect to pay offered by the two sectors.

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  • Maczulskij, Terhi, 2013. "Employment sector and pay gaps: Genetic and environmental influences," Labour Economics, Elsevier, vol. 23(C), pages 89-96.
  • Handle: RePEc:eee:labeco:v:23:y:2013:i:c:p:89-96
    DOI: 10.1016/j.labeco.2013.04.009
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    Cited by:

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    2. Jørn Rattsø & Hildegunn E.Stokke, 2018. "Dynamic private-public wage gap: Return to experience, education level and cit effect," Working Paper Series 17518, Department of Economics, Norwegian University of Science and Technology.
    3. Böckerman, Petri & Vainiomäki, Jari, 2013. "Stature and life-time labor market outcomes: Accounting for unobserved differences," Labour Economics, Elsevier, vol. 24(C), pages 86-96.
    4. Terhi Maczulskij, 2015. "Who chooses to become a public sector employee?," Working Papers 301, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    5. Terhi Maczulskij & Petri Böckerman, 2019. "Harsh times: do stressors lead to labor market losses?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 357-373, April.
    6. Böckerman, Petri & Maczulskij, Terhi, 2016. "The Education-health Nexus: Fact and fiction," Social Science & Medicine, Elsevier, vol. 150(C), pages 112-116.
    7. Terhi Maczulskij & Jutta Viinikainen, 2015. "Personality characteristics and long-term labor market outcomes: Evidence from twins," Working Papers 299, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    8. Rattsø, Jørn & Stokke, Hildegunn E., 2020. "Private-public wage gap and return to experience: Role of geography, gender and education," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    9. Terhi Maczulskij, 2015. "High education and public sector employment: Evidence from Finland using data on twins," Working Papers 296, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    10. Maczulskij, Terhi & Viinikainen, Jutta, 2018. "Is personality related to permanent earnings? Evidence using a twin design," Journal of Economic Psychology, Elsevier, vol. 64(C), pages 116-129.
    11. Maczulskij, Terhi & Viinikainen, Jutta, 2021. "Personality and Public Sector Employment," ETLA Working Papers 86, The Research Institute of the Finnish Economy.
    12. Terhi Maczulskij, 2016. "Higher education and public sector employment: evidence from Finnish data on twins," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 605-619, September.
    13. Mansoor Maitah & Daniel Toth & Luboš Smutka & Kamil Maitah & Veronika Jarolínová, 2020. "Income Differentiation as a Factor of Unsustainability in Forestry," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    14. Petri Böckerman & Ari Hyytinen & Terhi Maczulskij, 2017. "Alcohol Consumption and Long‐Term Labor Market Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 275-291, March.

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    More about this item

    Keywords

    Public sector employment; Behavioural genetics; Twin studies; Wage differentials;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

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