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Pourquoi les docteurs s'insèrent moins vite que les ingénieurs, et que faire?

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  • David Margolis

    (PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Luis N Miotti

    (CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper studies why PhDs in France have more difficulty entering the job market than engineers. Using data from CEREQ's " Génération 2004 " survey, we show that job finding rates of PhDs are lower than those of engineers and situate them among post-secondary graduates as a whole. We show that this phenomenon holds even when restricting attention to R & D jobs, and that the difference is mainly due to differences in the fields of study of PhDs and engineers. We also show that the relative demand for PhDs is only moderately sensitive to cost, as only the large employment subsidies inherent in the most recent reform of the " dispositif jeunes docteurs " of France's research tax credit were able to significantly improve placement of young PhDs

Suggested Citation

  • David Margolis & Luis N Miotti, 2017. "Pourquoi les docteurs s'insèrent moins vite que les ingénieurs, et que faire?," CEPN Working Papers halshs-01545880, HAL.
    • Handle: RePEc:hal:cepnwp:halshs-01545880
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01545880
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    References listed on IDEAS

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    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    2. J. Heckman & B. Singer, 1984. "The Identifiability of the Proportional Hazard Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(2), pages 231-241.
    3. Joseph G. Altonji & Lisa B. Kahn & Jamin D. Speer, 2016. "Cashier or Consultant? Entry Labor Market Conditions, Field of Study, and Career Success," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 361-401.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    5. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    7. 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.
    8. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
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