Labor Market Earnings of Veterans: Is Time in the Military More Valuable or Less than is Civilian Experience?

32 Pages Posted: 18 Oct 2019 Last revised: 4 Aug 2021

See all articles by Christos Makridis

Christos Makridis

Arizona State University (ASU) - W.P. Carey School of Business; The Gallup Organization; Stanford University - Stanford Institute for Human-Centered Artificial Intelligence; Institute for the Future (IFF), Department of Digital Innovation, School of Business, University of Nicosia

Barry T. Hirsch

IZA Institute of Labor Economics; Georgia State University

Date Written: October 8, 2019

Abstract

We assess the labor market experiences of military veterans, focusing on three major outcomes, among others, controlling for a wide array of demographic characteristics and industry and occupational fixed effects. First, we find that male and female veterans receive civilian earnings nearly equivalent to nonveteran men and women. This finding implies that military experience is valued in the labor market similarly to foregone civilian experience. Second, veterans are clustered in occupations with somewhat lower than average employment and real earnings growth, and in metropolitan areas with lower levels and growth of real GDP per capita. Third, veterans experience lower returns to formal educational investments (e.g., college) than do nonveterans. Veterans realize earnings gains from professional licenses, but their returns are lower than for nonveterans. These gains are concentrated among science, technology, engineering, and math (STEM) jobs, suggesting that veterans could help meet the growing demand for tech talent and artificial intelligence skills.

Keywords: Military veterans, earnings levels and dispersion, work experience, licensing, public sector, occupation growth

JEL Classification: J3, J4, J44

Suggested Citation

Makridis, Christos and Hirsch, Barry T. and Hirsch, Barry T., Labor Market Earnings of Veterans: Is Time in the Military More Valuable or Less than is Civilian Experience? (October 8, 2019). Available at SSRN: https://ssrn.com/abstract=3466518 or http://dx.doi.org/10.2139/ssrn.3466518

Christos Makridis (Contact Author)

Arizona State University (ASU) - W.P. Carey School of Business ( email )

Tempe, AZ 85287-3706
United States

The Gallup Organization ( email )

Washington, DC 20004
United States

Stanford University - Stanford Institute for Human-Centered Artificial Intelligence ( email )

210 Panama St.
Cordura Hall
Stanford, CA 94305
United States

Institute for the Future (IFF), Department of Digital Innovation, School of Business, University of Nicosia ( email )

Nicosia, 2417
Cyprus

Barry T. Hirsch

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Georgia State University ( email )

Department of Economics
Andrew Young School of Policy Studies
Atlanta, GA 30302-3992
United States
404-413-0880 (Phone)
404-413-0145 (Fax)

HOME PAGE: http://unionstats.gsu.edu/bhirsch

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