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Earnings expectations and educational sorting. An ex-ante perspective on returns to university education

Author

Listed:
  • Angelov, Nikolay

    (Uppsala Center for Fiscal Studies (UCFS)

  • Johansson, Per

    (Uppsala University (UCLS and Statistics))

  • Pihl, Ariel

    (Department of Economics, University of Gothenburg)

  • Lindahl, Mikael

    (Department of Economics, University of Gothenburg)

Abstract

We estimate means and distributions of ex-ante treatment effects for obtaining university education relative to high school. To achieve this, we conducted a survey which elicited earnings expectations associated with counterfactual educational choices for a sample of high-school students in Stockholm. We find average ex-ante returns to university to be 36%, with higher returns for females, those with high SES backgrounds, and high math scores. The returns vary considerably and are highest for those that choose university, but also positive and sizable for those who do not. Our results imply that students sort into education based on their comparative advantage. Nevertheless, our results suggest that an OLS estimator of the returns to university education should be expected to be quite similar to the average treatment on the treated effect for university education. Additionally, we find evidence that the positive ex-ante earnings returns to high paying fields, among those that do not choose these fields, can (partly) be reconciled by individuals expecting to be compensated through higher non-pecuniary returns to those fields.

Suggested Citation

  • Angelov, Nikolay & Johansson, Per & Pihl, Ariel & Lindahl, Mikael, 2022. "Earnings expectations and educational sorting. An ex-ante perspective on returns to university education," Working Paper Series 2022:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2022_005
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    References listed on IDEAS

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    1. repec:dau:papers:123456789/9717 is not listed on IDEAS
    2. Anders Bohlmark & Matthew J. Lindquist, 2006. "Life-Cycle Variations in the Association between Current and Lifetime Income: Replication and Extension for Sweden," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 879-900, October.
    3. Nicolas Jacquemet & Robert‐Vincent Joule & Stéphane Luchini & Jason F. Shogren, 2011. "Do People Always Pay Less Than They Say? Testbed Laboratory Experiments with IV and HG Values," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 13(5), pages 857-882, October.
    4. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
    5. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
    6. Arcidiacono, Peter & Hotz, V. Joseph & Kang, Songman, 2012. "Modeling college major choices using elicited measures of expectations and counterfactuals," Journal of Econometrics, Elsevier, vol. 166(1), pages 3-16.
    7. Sattinger, Michael, 1993. "Assignment Models of the Distribution of Earnings," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 831-880, June.
    8. Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute of Labor Economics (IZA).
    9. Cunha, Flavio & Heckman, James J., 2007. "Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling," Labour Economics, Elsevier, vol. 14(6), pages 870-893, December.
    10. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    11. James Murphy & Thomas Stevens & Lava Yadav, 2010. "A Comparison of Induced Value and Home-Grown Value Experiments to Test for Hypothetical Bias in Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(1), pages 111-123, September.
    12. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "2001 Lawrence R. Klein Lecture Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 361-422, May.
    13. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    14. Taylor, Laura O. & McKee, Michael & Laury, Susan K. & Cummings, Ronald G., 2001. "Induced-value tests of the referendum voting mechanism," Economics Letters, Elsevier, vol. 71(1), pages 61-65, April.
    15. List John A. & Sinha Paramita & Taylor Michael H., 2006. "Using Choice Experiments to Value Non-Market Goods and Services: Evidence from Field Experiments," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(2), pages 1-39, January.
    16. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    17. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    18. Martin Nybom, 2017. "The Distribution of Lifetime Earnings Returns to College," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 903-952.
    19. John A. List, 2001. "Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards," American Economic Review, American Economic Association, vol. 91(5), pages 1498-1507, December.
    20. Martin Nybom & Jan Stuhler, 2017. "Biases in Standard Measures of Intergenerational Income Dependence," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 800-825.
    21. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    22. Matthew Wiswall & Basit Zafar, 2021. "Human Capital Investments and Expectations about Career and Family," Journal of Political Economy, University of Chicago Press, vol. 129(5), pages 1361-1424.
    23. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    24. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
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    More about this item

    Keywords

    Ex-ante treatment effects; returns to university; educational sorting; subjective expectations;
    All these keywords.

    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

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    This paper has been announced in the following NEP Reports:

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