École d’affaires publiques, Master Affaires européennes
l'étude précise du parcours législatif de textes adoptés récemment en France. Lectures principales demandées : Marc Abélès, Un ethnologue à l'Assemblée, Paris, O. Jacob, 2000.
simple exposition to statistical theory with practical use of statistical modeling. The course will alternate between lectures and practical lab sessions where students will be encouraged to apply the material while learning to program in the statistical software package Stata. Required reading : Meier, Kenneth, Jeffrey Brudney and John Bohte, Applied Statistics for Public and Nonproﬁt Administration, Thomson Wadsworth, 2006, 6th edition ; (Lewis Beck) Michael, Data Analysis : An Introduction, Sage University Paper #103, 1995 ; Fox (John), Regression Diagnostics, Sage University Paper #79, 1991 ; Kmenta (Jan), Elements of Econometrics, University of Michigan Press, 2nd Edition, 1997 ; Warren S. Sarle, Measurement theory : Frequently asked questions, Version 3, Sep 14, 1997.
POLICY ANALYSIS AND POLICY EVALUATION LEVEL 1
Semester : Autumn Number of hours : 60 Language of tuition : English
Opened to the exchange program
Teachers : Jan ROVNY (Assistant professor, LIEPP, CEE – Sciences Po). Prerequisite : None. While I do not expect students to be conﬁdent users of math, I do expect them to be keen learners. Learning quantitative methods requires continuous practice and repetition. This course steadily builds on previous material which is needed for understanding subsequent lectures. It is thus essential that you come to class, do all your readings on time, and complete all homework assignments. Pedagogical format : Lecture and tutorials Senior lecturers : Sophie COTTET (Economiste Junior), Kacem EL GUERNAOUI (Etudiant), Léa FUIRET (Stagiaire), Anaïs GALDIN (Etudiante), Lyes KOLIAI (Consultant), Florence NOCCA (Doctorant contractuel - Ph.D. en Science politique), Laurie RACHET JACQUET (Etudiant), Norbert RUGAMBAGE (Analyste junior des politiques). Course validation : 3 homeworks / Midterm exam 50%. Final exam : 50%. Pedagogical method : 24h of lecture with the professor, 12h of computer lab sessions with TAs. Course Description : This is an introductory course of quantitative methods for policy analysts. It aims to prepare researchers to intelligently apply basic statistical methods for the purposes of empirical analysis. This course is thus a practical guide to statistical application for future policy analysts and makers. However, to become effective users of statistics, the students must learn elementary statistical concepts and theory, and be aware of the various assumptions of the methodology. The course will consequently combine
POLICY ANALYSIS AND POLICY EVALUATION LEVEL 2
Semester : Autumn Number of hours : 36 Language of tuition : English
Opened to the exchange program
Teachers : Romain LACHAT (Assistant Professor). Prerequisite : The courses taught by Bruno Cautrès and Romain Lachat will include additional topics, linked with the estimation of regression models for qualitative dependent variables. Less time will be spent on reviewing and presenting the bases of descriptive statistics (mean, median, standard deviation, basic graphs, etc.) and of inferential statistics (normal distribution, probabilities, hypotheses testing, etc.). It is expected that students who enroll in one of these courses already have some familiarity with these topics Pedagogical format : Lecture and tutorials Senior lecturers : Camille URVOY (Etudiante doctorante - Ph.D. en Economie). Course validation : Three homework assignments / Midterm exam : 50%. Final written exam : 50%. Pedagogical method : Lecture course with tutorials. Course Description : The course provides an introduction to quantitative methods for social sciences. It will give students the basic statistical 1005