Le Grand Syllabus 2016/2017
Course Description : This course introduces an econometric toolbox of public policy evaluation, with focus on empirical applications to non-macroeconomic policies. It will discuss concepts of causation, identiﬁcation, and different average and marginal treatment effects. It will cover major identiﬁcation strategies in both methodological and applied settings, including randomized trials, natural experiments, regression discontinuity design, matching, instrumental variables, ﬁxed effects, etc. with their strengths and weaknesses. It is expected to help students improve their creative and critical thinkings regarding empirical evaluation questions. Required reading : Angrist, J. D. and Pischke, J.-S. Mostly Harmless Econometrics : An Empiricist's Companion, 2009, Princeton University Press ; Wooldridge, J. Econometric Analysis of Cross Section and Panel Data, 2010, second edition, MIT Press ; Angrist, J. and Krueger, A. Handbook of Labor Economics. Vol 3A, 1999, chapter 23 ; Heckman, J. and Vytlacil, E. Handbook of Econometrics, Vol 6B, 2007, chapters 70-71 ; Glennerster, Rachel and Kudzai Takavarasha, Running Randomized Evaluations : A Practical Guide, 2013, Princeton University Press.
of survey topics (based on a reading list of ﬁve papers) will be distributed by the instructor to the students during the 2nd session of the course. The survey will be given by the students to the instructor during the 10th session of the course. The ﬁrst grade is the grade given by the instructor to the survey (30%). The second grade is the participation to the class (5%). The third grade is the grade obtained at the ﬁnal exam, which is a 2-hours written exam (65%). During the ﬁnal exam, extra support materials are unauthorized. Workload : Students should read working papers and articles published in academic reviews after each session of the course in order to deepen their understanding of the covered topics. The reading list corresponding to a session will be distributed by the instructor at the end of this session. Some of these papers and articles could give rise to questions to be answered during the ﬁnal exam. Course Description : This course is an introduction to the theoretical and empirical methods used in the modern economic analysis of education. Both higher and primary/secondary educations are covered. In this course, economic theory and econometric analysis are applied to a wide range of educational policies issues, including theories of human capital and signaling, the demand for and returns to schooling, factors affecting educational achievement, early education, student incentives, teacher quality, the role of peer effects and of class size, etc. Throughout the course, attention is paid to the ability of econometric methods to make causal inference about effects of education policies, and to make predictions about the likely impact of policy reforms. Required reading : Becker (G.), Human capital : A theoretical and empirical analysis, with special reference to education (revised version), University of Chicago Press, 2009 ; Hanushek (E. A.) and Welch (F.), Handbook of the economics of education, Vol. 1, Elsevier, 2006 ; Hanushek (E. A.) and Welch (F.), Handbook of the economics of education, Vol. 2, Elsevier, 2006 ; Hanushek (E. A.), Machin (S. J.) and Woessmann (L.), Handbook of the economics of education, Vol. 3, Elsevier, 2010 ; Hanushek (E. A.), Machin (S. J.) and Woessmann (L.), Handbook of the economics of education, Vol. 4, Elsevier, 2010.
ECONOMICS OF EDUCATION
Semester : Autumn Number of hours : 24 Language of tuition : English
Teachers : Denis FOUGERE (Research Director at CNRS). Prerequisite : Students must have taken courses in introductory microeconomics and introductory quantitative methods (or econometrics). The course is often based on articles from academic journals. Students will not be expected to understand thoroughly all the mathematics or econometrics. Instead, our focus will be on grasping the main concepts, assumptions, reasoning, method