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Estimating the Effect of Higher Education on an Employee’s Wage

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  • B. S. Potanin

    (National Research University Higher School of Economics)

Abstract

This paper proposes a new method for estimating the effect of education on an employee’s wage: with the help of the generalized Heckman model with switching. Application of this method makes it possible to avoid the selection bias due to the endogenous accounting for nonrandom consideration of individuals both as employed and having higher education. This model makes it possible to estimate whether it is worthwhile for an individual to get a higher education in terms of changes in their expected income. Analysis of the distribution of the effect of the education level on wages among employees makes it possible to evaluate the efficiency of the higher education system in providing the population with skills and competencies that are significant in the labor market.

Suggested Citation

  • B. S. Potanin, 2019. "Estimating the Effect of Higher Education on an Employee’s Wage," Studies on Russian Economic Development, Springer, vol. 30(3), pages 319-326, May.
    • Handle: RePEc:spr:sorede:v:30:y:2019:i:3:d:10.1134_s1075700719030146
    DOI: 10.1134/S1075700719030146
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    References listed on IDEAS

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    1. James J. Heckman & John Eric Humphries & Gregory Veramendi, 2018. "Returns to Education: The Causal Effects of Education on Earnings, Health, and Smoking," Journal of Political Economy, University of Chicago Press, vol. 126(S1), pages 197-246.
    2. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    3. Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204, Elsevier.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    5. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    6. Philipp Eisenhauer & James J. Heckman & Edward Vytlacil, 2015. "The Generalized Roy Model and the Cost-Benefit Analysis of Social Programs," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 413-443.
    7. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    8. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    9. Yu. F. Florinskaya, 2017. "School graduates from small towns in Russia: Educational and migration strategies," Studies on Russian Economic Development, Springer, vol. 28(1), pages 87-96, January.
    10. Philipp Eisenhauer & James J. Heckman & Stefano Mosso, 2015. "Estimation Of Dynamic Discrete Choice Models By Maximum Likelihood And The Simulated Method Of Moments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 331-357, May.
    11. V. A. Gurtov & N. Yu. Garifullina & S. V. Sigova, 2016. "Forecasting recruitment needs of the Russian economy: Qualitative aspects," Studies on Russian Economic Development, Springer, vol. 27(1), pages 68-75, January.
    12. V. A. Gurtov & L. V. Shchegoleva, 2018. "Forecasting the Economic Need for Personnel with Higher Scientific Qualifications," Studies on Russian Economic Development, Springer, vol. 29(4), pages 415-422, July.
    13. Kossova, Elena & Potanin, Bogdan, 2018. "Heckman method and switching regression model multivariate generalization," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 114-143.
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    Cited by:

    1. Kossova, Elena & Potanin, Bogdan, 2022. "Estimation of Gaussian multinomial endogenous switching model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 121-143.
    2. Dolgikh, Sofiia & Potanin, Bogdan, 2022. "Estimating the effect of higher education on abortion," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 117-139.
    3. Kossova, Elena & Kupriianova, Liubov & Potanin, Bogdan, 2020. "Parametric and semiparametric multivariate sample selection models estimators’ accuracy: Comparative analysis on simulated data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 119-139.

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