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Teachers’ careers and students’ paths in higher education : three essays on public policy evaluation
[Carrières des enseignants et parcours des étudiants dans l’enseignement supérieur : trois essais d’évaluation des politiques publiques]

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  • Pierre Gouëdard

    (ECON - Département d'économie (Sciences Po) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique)

Abstract

This thesis presents three ex-post evaluations of public policies in France in the education field. Each section aims to contribute to the interdisciplinary analytical framework of evaluation, by using the tools of econometric modelization. The first chapter focus on the effects on secondary teachers, of the 2003 reform of the public retirement system (modification of financial incentives). Stock and Wise model is structurally estimated. The second chapter measures the impact of a feature of the 2010 reform (following-up of the 2003 reform), namely the increase in the minimum legal age of retirement, on sick leaves of secondary teachers. A theoretical optimization model is built in order to develop hypothesis, that are then tested in dynamic non-linear panel data regressions. The last chapter evaluates the impact at the high-school level of a French program of affirmative action. A classic differences-in-differences methodology measures how the program affects the access rate to higher education.

Suggested Citation

  • Pierre Gouëdard, 2017. "Teachers’ careers and students’ paths in higher education : three essays on public policy evaluation [Carrières des enseignants et parcours des étudiants dans l’enseignement supérieur : trois essai," SciencePo Working papers Main tel-03455098, HAL.
    • Handle: RePEc:hal:spmain:tel-03455098
    Note: View the original document on HAL open archive server: https://theses.hal.science/tel-03455098
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    References listed on IDEAS

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    1. David Card & Alan B. Krueger, 2005. "Would the Elimination of Affirmative Action Affect Highly Qualified Minority Applicants? Evidence from California and Texas," ILR Review, Cornell University, ILR School, vol. 58(3), pages 416-434, April.
    2. Carneiro, Pedro & Heckman, James J & Masterov, Dimitriy V, 2005. "Labor Market Discrimination and Racial Differences in Premarket Factors," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 1-39, April.
    3. James Fain, 2009. "Affirmative Action Can Increase Effort," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 30(2), pages 168-175, June.
    4. Moro, Andrea & Norman, Peter, 2004. "A general equilibrium model of statistical discrimination," Journal of Economic Theory, Elsevier, vol. 114(1), pages 1-30, January.
    5. Eric Furstenberg, 2005. "Does Banning Affirmative Action Affect Racial SAT Score Gaps? An Empirical Analysis," Working Papers 21, Department of Economics, College of William and Mary, revised 28 Sep 2005.
    6. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    7. Schwab, Stewart, 1986. "Is Statistical Discrimination Efficient?," American Economic Review, American Economic Association, vol. 76(1), pages 228-234, March.
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