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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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    1. Justine S. Hastings & Christopher A. Neilson & Seth D. Zimmerman, 2013. "Are Some Degrees Worth More than Others? Evidence from college admission cutoffs in Chile," NBER Working Papers 19241, National Bureau of Economic Research, Inc.
    2. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    3. Levine, Phillip B & Zimmerman, David J, 1995. "The Benefit of Additional High-School Math and Science Classes for Young Men and Women," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 137-149, April.
    4. Eric A. Hanushek & Guido Schwerdt & Ludger Woessmann & Lei Zhang, 2017. "General Education, Vocational Education, and Labor-Market Outcomes over the Lifecycle," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 48-87.
    5. Luc Behaghel & Bruno Crépon & Marc Gurgand, 2013. "Robustness of the encouragement design in a two-treatment randomized control trial," Working Papers halshs-00834169, HAL.
    6. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    7. Bart H. H. Golsteyn & Anders Stenberg, 2017. "Earnings over the Life Course: General versus Vocational Education," Journal of Human Capital, University of Chicago Press, vol. 11(2), pages 167-212.
    8. Caroline Hall, 2012. "The Effects of Reducing Tracking in Upper Secondary School: Evidence from a Large-Scale Pilot Scheme," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 237-269.
    9. Joseph G. Altonji, 1995. "The Effects of High School Curriculum on Education and Labor Market Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 409-438.
    10. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    11. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    12. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    13. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    14. Pekkarinen, Tuomas & Uusitalo, Roope & Kerr, Sari, 2009. "School tracking and intergenerational income mobility: Evidence from the Finnish comprehensive school reform," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 965-973, August.
    15. Sandra E Black & Paul J Devereux & Petter Lundborg & Kaveh Majlesi, 2018. "Learning to Take Risks? The Effect of Education on Risk-Taking in Financial Markets," Review of Finance, European Finance Association, vol. 22(3), pages 951-975.
    16. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    17. Heather Rose & Julian R. Betts, 2004. "The Effect of High School Courses on Earnings," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 497-513, May.
    18. Jorge Rodríguez & Sergio Urzúa & Loreto Reyes, 2016. "Heterogeneous Economic Returns to Post-Secondary Degrees: Evidence from Chile," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 416-460.
    19. Laura M. Argys & Daniel I. Rees & Dominic J. Brewer, 1996. "Detracking America's schools: Equity at zero cost?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 15(4), pages 623-645.
    20. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.
    21. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    22. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    23. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    24. Basit Zafar, 2011. "How Do College Students Form Expectations?," Journal of Labor Economics, University of Chicago Press, vol. 29(2), pages 301-348.
    25. Giorgio Brunello & Lorenzo Rocco, 2017. "The Labor Market Effects of Academic and Vocational Education over the Life Cycle: Evidence Based on a British Cohort," Journal of Human Capital, University of Chicago Press, vol. 11(1), pages 106-166.
    26. Marianne Bertrand & Magne Mogstad & Jack Mountjoy, 2021. "Improving Educational Pathways to Social Mobility: Evidence from Norway’s Reform 94," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 965-1010.
    27. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    28. Rodney J. Andrews & Scott A. Imberman & Michael F. Lovenheim, 2017. "Risky Business? The Effect of Majoring in Business on Earnings and Educational Attainment," NBER Working Papers 23575, National Bureau of Economic Research, Inc.
    29. Altonji, J.G. & Arcidiacono, P. & Maurel, A., 2016. "The Analysis of Field Choice in College and Graduate School," Handbook of the Economics of Education,, Elsevier.
    30. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    31. Sattinger, Michael, 1993. "Assignment Models of the Distribution of Earnings," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 831-880, June.
    32. Lars-Gunnar Svensson, 1999. "Strategy-proof allocation of indivisible goods," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 16(4), pages 557-567.
    33. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    34. Stenberg, Anders, 2011. "Using longitudinal data to evaluate publicly provided formal education for low skilled," Economics of Education Review, Elsevier, vol. 30(6), pages 1262-1280.
    35. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    36. Heckman, James J & Sedlacek, Guilherme, 1985. "Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-selection in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1077-1125, December.
    37. Ofer Malamud & Cristian Pop-Eleches, 2010. "General Education versus Vocational Training: Evidence from an Economy in Transition," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 43-60, February.
    38. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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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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