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High School Majors, Comparative (Dis)Advantage, and Future Earnings

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  • Gordon Dahl
  • Dan-Olof Rooth
  • Anders Stenberg

Abstract

This paper studies whether specialized academic fields of study in secondary school (i.e., high school majors), which are common in many countries, affect earnings as an adult. Identification is challenging, because it requires not just quasi-random variation into majors, but also an accounting of individuals’ next-best alternatives. Our setting is Sweden, where at the end of ninth grade students rank fields of study and admission to oversubscribed fields is determined based on a student’s GPA. We use a regression discontinuity design which allows for different labor market returns for each combination of preferred versus next-best choice, together with nationwide register data for school cohorts from 1977-1991 linked to their earnings as adults. Our analysis yields several key results. First, Engineering, Natural Science, and Business yield higher earnings relative to most second-best choices, while Social Science and Humanities result in sizable drops, even relative to non-academic vocational programs. The magnitudes are often as large as the return to two years of additional education. Second, the return to completing a major varies substantially as a function of a student’s next-best alternative. Third, the pattern of returns for individuals with different first and second best choices is consistent with comparative advantage for many field choice combinations, while others exhibit comparative disadvantage or random sorting. Fourth, most of the differences in adult earnings can be attributed to differences in occupation, and to a lesser extent, college major. Taken together, these results highlight that the high school majors students choose at age 16, when they have limited information about their skills and the labor market, have sizable effects which persist into adulthood.

Suggested Citation

  • Gordon Dahl & Dan-Olof Rooth & Anders Stenberg, 2020. "High School Majors, Comparative (Dis)Advantage, and Future Earnings," NBER Working Papers 27524, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27524
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    Cited by:

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    2. Omar Bamieh & Andrea Cintolesi & Mario Pagliero, 2024. "Estimating the returns to occupational licensing: evidence from regression discontinuities at the bar exam," Temi di discussione (Economic working papers) 1440, Bank of Italy, Economic Research and International Relations Area.
    3. Anton B Andersson & Carlo Barone & Martin Hällsten, 2023. "Are upper-secondary track decisions risky? Evidence from Sweden on the assumptions of risk-aversion models," Rationality and Society, , vol. 35(3), pages 311-337, August.

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    More about this item

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • 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

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