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Why Do French Engineers Find Stable Jobs Faster than PhDs?

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  • David N Margolis

    (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, 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)

  • Egidio Luis Miotti

    (CEPN - Centre d'Economie de l'Université Paris Nord - LABEX ICCA - UP13 - Université Paris 13 - Université Sorbonne Nouvelle - Paris 3 - CNRS - Centre National de la Recherche Scientifique - UPCité - Université Paris Cité - Université Sorbonne Paris Nord - CNRS - Centre National de la Recherche Scientifique - Université Sorbonne Paris Nord, HCERES - Haut Conseil de l'Évaluation de la Recherche et de l'Enseignement Supérieur)

Abstract

This paper studies why PhDs in France take longer to find stable jobs 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 document the differences in their observable characteristics and fields of study. We show that this phenomenon is due to multiple factors: heterogeneity in student characteristics along observable and unobservable dimensions and fields of study, directed search toward public sector positions (especially professors) among PhDs and, in all likelihood, reservation wages of PhDs for private sector jobs that are "too high" relative to their value of marginal product.

Suggested Citation

  • David N Margolis & Egidio Luis Miotti, 2021. "Why Do French Engineers Find Stable Jobs Faster than PhDs?," Working Papers halshs-03206891, HAL.
    • Handle: RePEc:hal:wpaper:halshs-03206891
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03206891
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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. 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.
    3. Randall Wright & Philipp Kircher & Benoit Julîen & Veronica Guerrieri, 2017. "Directed Search: A Guided Tour," NBER Working Papers 23884, National Bureau of Economic Research, Inc.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    5. A. Bozio & D. Irac & L. Py, 2014. "Impact of research tax credit on R&D and innovation: evidence from the 2008 French reform," Working papers 532, Banque de France.
    6. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    7. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    8. 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.
    9. 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.
    10. Roach, Michael & Sauermann, Henry, 2010. "A taste for science? PhD scientists' academic orientation and self-selection into research careers in industry," Research Policy, Elsevier, vol. 39(3), pages 422-434, April.
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    Cited by:

    1. Baruffaldi, Stefano H. & Simeth, Markus, 2020. "Patents and knowledge diffusion: The effect of early disclosure," Research Policy, Elsevier, vol. 49(4).

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    More about this item

    Keywords

    Directed search; STEM; School-to-work transition; Wage subsidies;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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