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Heterogeneity in Marginal Non-monetary Returns to Higher Education

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  • Kamhöfer, D.A.
  • Schmitz, H.
  • Westphal, M.

Abstract

In this paper we estimate the effects of college education on cognitive abilities and health exploiting exogenous variation in college availability and student loan regulations. By means of emiparametric local instrumental variables techniques we estimate marginal treatment effects in an environment of essential heterogeneity. The results suggest heterogeneous but always positive effects on cognitive skills and homogeneously positive effects for all health outcomes but mental health, where the effects are around zero throughout. We find that likely mechanisms of positive physical health returns are effects of college education on physically demanding activities on the job and health behavior such as smoking and drinking while mentally more demanding jobs might explain the skill returns.

Suggested Citation

  • Kamhöfer, D.A. & Schmitz, H. & Westphal, M., 2015. "Heterogeneity in Marginal Non-monetary Returns to Higher Education," Health, Econometrics and Data Group (HEDG) Working Papers 15/24, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:15/24
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    1. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71, Elsevier.
    2. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, January.
    3. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    4. Melvin Stephens Jr. & Dou-Yan Yang, 2014. "Compulsory Education and the Benefits of Schooling," American Economic Review, American Economic Association, vol. 104(6), pages 1777-1792, June.
    5. Grimard, Franque & Parent, Daniel, 2007. "Education and smoking: Were Vietnam war draft avoiders also more likely to avoid smoking?," Journal of Health Economics, Elsevier, vol. 26(5), pages 896-926, September.
    6. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    7. Daniel A. Kamhöfer & Hendrik Schmitz, 2016. "Reanalyzing Zero Returns to Education in Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 912-919, August.
    8. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    9. Susann Rohwedder & Robert J. Willis, 2010. "Mental Retirement," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 119-138, Winter.
    10. Dora L. Costa, 2015. "Health and the Economy in the United States from 1750 to the Present," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 503-570, September.
    11. 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.
    12. Anirban Basu, 2014. "ESTIMATING PERSON‐CENTERED TREATMENT (PeT) EFFECTS USING INSTRUMENTAL VARIABLES: AN APPLICATION TO EVALUATING PROSTATE CANCER TREATMENTS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 671-691, June.
    13. Bhashkar Mazumder, 2008. "Does education improve health? A reexamination of the evidence from compulsory schooling laws," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 32(Q II), pages 2-16.
    14. Lisa Barrow & Ofer Malamud, 2015. "Is College a Worthwhile Investment?," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 519-555, August.
    15. James Banks & Fabrizio Mazzonna, 2012. "The Effect of Education on Old Age Cognitive Abilities: Evidence from a Regression Discontinuity Design," Economic Journal, Royal Economic Society, vol. 122(560), pages 418-448, May.
    16. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    17. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    18. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
    19. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    20. Daron Acemoglu & Simon Johnson, 2007. "Disease and Development: The Effect of Life Expectancy on Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 115(6), pages 925-985, December.
    21. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    22. Matteo Cervellati & Uwe Sunde, 2005. "Human Capital Formation, Life Expectancy, and the Process of Development," American Economic Review, American Economic Association, vol. 95(5), pages 1653-1672, December.
    23. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6b.
    24. Christian N. Brinch & Magne Mogstad & Matthew Wiswall, 2017. "Beyond LATE with a Discrete Instrument," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 985-1039.
    25. Jürges, Hendrik & Reinhold, Steffen & Salm, Martin, 2011. "Does schooling affect health behavior? Evidence from the educational expansion in Western Germany," Economics of Education Review, Elsevier, vol. 30(5), pages 862-872, October.
    26. Janet Currie & Enrico Moretti, 2003. "Mother's Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1495-1532.
    27. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    28. Philip Oreopoulos & Kjell G. Salvanes, 2011. "Priceless: The Nonpecuniary Benefits of Schooling," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 159-184, Winter.
    29. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    30. Philip Oreopoulos & Uros Petronijevic, 2013. "Making College Worth It: A Review of Research on the Returns to Higher Education," NBER Working Papers 19053, National Bureau of Economic Research, Inc.
    31. Cawley, John & Heckman, James & Vytlacil, Edward, 2001. "Three observations on wages and measured cognitive ability," Labour Economics, Elsevier, vol. 8(4), pages 419-442, September.
    32. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6a.
    33. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
    34. Nicole Schneeweis & Vegard Skirbekk & Rudolf Winter-Ebmer, 2014. "Does Education Improve Cognitive Performance Four Decades After School Completion?," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 619-643, April.
    35. de Walque, Damien, 2007. "Does education affect smoking behaviors?: Evidence using the Vietnam draft as an instrument for college education," Journal of Health Economics, Elsevier, vol. 26(5), pages 877-895, September.
    36. Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
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    More about this item

    Keywords

    returns to higher education; cognitive abilities; health; marginal treatment effect;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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