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Heterogeneity in schooling rates of return

Author

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  • Henderson, Daniel J.
  • Polachek, Solomon W.
  • Wang, Le

Abstract

This paper relaxes the assumption of homogeneous rates of return to schooling by employing nonparametric kernel regression. This approach allows us to examine the differences in rates of return to education both across and within groups. Similar to previous studies we find that on average blacks have higher returns to education than whites, natives have higher returns than immigrants and younger workers have higher returns than older workers. Contrary to previous studies we find that the average gap of the rate of return between white and black workers is larger than previously thought and the gap is smaller between immigrants and natives. We also uncover significant heterogeneity, the extent of which differs both across and within groups. Finally, we uncover the characteristics common amongst those with the smallest and largest returns to education.

Suggested Citation

  • Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
  • Handle: RePEc:eee:ecoedu:v:30:y:2011:i:6:p:1202-1214
    DOI: 10.1016/j.econedurev.2011.05.002
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    Cited by:

    1. Areendam Chanda & Bibhudutta Panda, 2012. "Unbalanced Productivity Growth in US States: Evidence from Factor Prices," Departmental Working Papers 2012-04, Department of Economics, Louisiana State University.
    2. Fossen, Frank M. & Büttner, Tobias J.M., 2013. "The returns to education for opportunity entrepreneurs, necessity entrepreneurs, and paid employees," Economics of Education Review, Elsevier, vol. 37(C), pages 66-84.
    3. Chunbei Wang & Le Wang, 2012. "The effects of 9/11 on intermarriage between natives and immigrants to the U.S," Review of Economics of the Household, Springer, vol. 10(2), pages 171-192, June.
    4. Md. Rabiul Islam & James B. Ang & Jakob B. Madsen, 2014. "Quality-Adjusted Human Capital And Productivity Growth," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 757-777, April.
    5. Ghosh, Pallab Kumar, 2014. "The contribution of human capital variables to changes in the wage distribution function," Labour Economics, Elsevier, vol. 28(C), pages 58-69.
    6. repec:spr:jopoec:v:30:y:2017:i:3:d:10.1007_s00148-017-0632-5 is not listed on IDEAS
    7. Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, June.
    8. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    9. Dickson, Matt & Harmon, Colm, 2011. "Economic returns to education: What We Know, What We Don’t Know, and Where We Are Going—Some brief pointers," Economics of Education Review, Elsevier, vol. 30(6), pages 1118-1122.
    10. repec:taf:applec:v:49:y:2017:i:12:p:1164-1184 is not listed on IDEAS
    11. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    12. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    13. Areendam Chanda & Bibhudutta Panda, 2011. "Productivity Growth in Goods and Services across US States: What can We Learn from Factor Prices?," Departmental Working Papers 2011-16, Department of Economics, Louisiana State University.
    14. repec:pal:easeco:v:43:y:2017:i:3:d:10.1057_s41302-017-0096-z is not listed on IDEAS
    15. Khalid Maman Waziri, 2017. "Generalized Glass Ceilings in the United States – A Stochastic Metafrontier Approach," Working Papers halshs-01569834, HAL.
    16. Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017. "The Distribution of Returns to Education for People with Disabilities," Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
    17. Huntington-Klein, Nick, 2015. "Subjective and projected returns to education," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 10-25.
    18. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    19. Zhu, Rong, 2011. "Individual heterogeneity in returns to education in urban China during 1995-2002," Economics Letters, Elsevier, vol. 113(1), pages 84-87, October.
    20. repec:spr:reihed:v:58:y:2017:i:8:d:10.1007_s11162-017-9451-5 is not listed on IDEAS
    21. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    22. Liu, Vivian Y.T. & Belfield, Clive R. & Trimble, Madeline J., 2015. "The medium-term labor market returns to community college awards: Evidence from North Carolina," Economics of Education Review, Elsevier, vol. 44(C), pages 42-55.
    23. Lehouelleur, Sophie & Beblavý, Miroslav & Maselli,Ilaria, 2015. "How returns from tertiary education differ by field of study: Implications for policy-makers and students," CEPS Papers 10835, Centre for European Policy Studies.
    24. Simone Balestra & Uschi Backes-Gellner, 2013. "Heterogeneous Returns to Education Over Wage Distribution: Who Profits the Most?," Economics of Education Working Paper Series 0091, University of Zurich, Department of Business Administration (IBW), revised Dec 2013.
    25. Chunbei Wang & Le Wang, 0. "Knot yet: minimum marriage age law, marriage delay, and earnings," Journal of Population Economics, Springer;European Society for Population Economics, vol. 0, pages 1-34.

    More about this item

    Keywords

    Mincer regressions; Nonparametric; Rate of return to education;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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