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Is there a devaluation of degrees ? Unobserved heterogeneity in returns to education and early experience

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  • Argan, Damiano
  • Gary-Bobo, Robert
  • Goussé, Marion

Abstract

We show that the expected real wages commanded by some highere ducation degrees decreased in absolute terms in France, in the past two decades, and that this drop is not due to adverse selection. To study the returns to degrees and experience, we assume the existence of a finite number of latent types and estimate a finite-mixture model. Each type has its own log-wage equation, experience accumulation and education-choice equation. This allows us to decompose the treatment effects of education as an average of type-dependent effects. We then show that some unobserved types experienced a real-wage drop while others benefited from an increase, with the same degree. The observed “flattening” of returns to experience is also heterogeneous. In the case of Master degrees, the estimated distribution of latent types indicates that student selection improved with time, in spite of the fact that the number of graduates increased substantially. An excess supply of graduate might therefore be a likely explanation for the devaluation of Master’s degrees.

Suggested Citation

  • Argan, Damiano & Gary-Bobo, Robert & Goussé, Marion, 2023. "Is there a devaluation of degrees ? Unobserved heterogeneity in returns to education and early experience," CEPREMAP Working Papers (Docweb) 2304, CEPREMAP.
  • Handle: RePEc:cpm:docweb:2304
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    References listed on IDEAS

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    1. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Specificity Of Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 63-115, February.
    2. William R. Emmons & Ana Hernández Kent & Lowell R. Ricketts, 2019. "Is College Still Worth It? The New Calculus of Falling Returns," Review, Federal Reserve Bank of St. Louis, vol. 101(4), pages 297-329.
    3. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    4. Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
    5. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    6. Peter Arcidiacono & John Bailey Jones, 2003. "Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm," Econometrica, Econometric Society, vol. 71(3), pages 933-946, May.
    7. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    8. Daron Acemoglu, 1999. "Changes in Unemployment and Wage Inequality: An Alternative Theory and Some Evidence," American Economic Review, American Economic Association, vol. 89(5), pages 1259-1278, December.
    9. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    10. 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.
    11. Jared Ashworth & V. Joseph Hotz & Arnaud Maurel & Tyler Ransom, 2021. "Changes across Cohorts in Wage Returns to Schooling and Early Work Experiences," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 931-964.
    12. Christian Dustmann & Costas Meghir, 2005. "Wages, Experience and Seniority," Review of Economic Studies, Oxford University Press, vol. 72(1), pages 77-108.
    13. Thierry Magnac & David Thesmar, 2002. "Identifying Dynamic Discrete Decision Processes," Econometrica, Econometric Society, vol. 70(2), pages 801-816, March.
    14. Christian Belzil & Jörgen Hansen, 2020. "Reconciling Changes in Wage Inequality With Changes in College Selectivity Using a Behavioral Model," CIRANO Working Papers 2020s-36, CIRANO.
    15. Thierry Magnac & Nicolas Pistolesi & Sébastien Roux, 2018. "Post-Schooling Human Capital Investments and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1219-1249.
    16. 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.
    17. 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).
    18. 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.
    19. Pedro Carneiro & Sokbae Lee, 2011. "Trends in Quality-Adjusted Skill Premia in the United States, 1960-2000," American Economic Review, American Economic Association, vol. 101(6), pages 2309-2349, October.
    20. David Autor & Claudia Goldin & Lawrence F. Katz, 2020. "Extending the Race between Education and Technology," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 347-351, May.
    21. Richard Blundell & David A Green & Wenchao Jin, 2022. "The U.K. as a Technological Follower: Higher Education Expansion and the College Wage Premium [Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 142-180.
    22. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    23. 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.
    24. Hiroyuki Kasahara & Katsumi Shimotsu, 2009. "Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices," Econometrica, Econometric Society, vol. 77(1), pages 135-175, January.
    25. Peter Arcidiacono & V. Joseph Hotz & Arnaud Maurel & Teresa Romano, 2020. "Ex Ante Returns and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 128(12), pages 4475-4522.
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