Le Grand Syllabus 2017/2018
science data and to choose the appropriate statistical methods for their own data and research goals. Required reading : Agresti, Alan, and Barbara Finlay (2009). Statistical Methods for the Social Sciences. Fourth edition. Upper Saddle River : Pearson Prentice Hall. (Selected chapters) ; Wooldridge, Jeffrey M. (2009). Introductory Econometrics : A Modern Approach. Mason : South Western.
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. While students aren't expected to be conﬁdent users of math, they are expected 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. Required reading : Meier et al. (various chapters) ; Michael S. Lewis-Beck "Data Analysis : An Introduction (Quantitative Applications in the Social Sciences)" ; Kmenta, Jan "Introduction to Statistical Inference" in Elements of Econometrics ; Fox "Collinearity" and "Non-constant Error Variance" in Regression Diagnostics ; Fox "Outlying and Inﬂuential data" and "Non-normally distributed errors" in Regression Diagnostics.
POLICY ANALYSIS AND POLICY EVALUATION BEGINNER
Semester : Autumn Number of hours : 36 Language of tuition : English
Opened to the exchange program
Teachers : Jan ROVNY (Assistant professor LIEPP, CEE – Sciences Po). Prerequisite : None. Pedagogical Format : Lecture and tutorials Senior lecturers : Marine BILLMANN (Teaching assistant), Florent FACQ (Teaching assistant), Kenza HAOUCHE (Teaching assistant), Norbert RUGAMBAGE (Teaching assistant). Course validation : Homework assignments 30% (3 assignments, each worth 10%). Midterm exam 30%. Final exam 40%. Workload : Students will be expected to prepare for class every week, which will include one or two readings. Every other week students will be expected to attend a practical session that will help them with pogramming in R. Pedagogical Method : Lecture (12 sessions) with tutorials (6 sessions). 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 1596
POLICY EVALUATION : EX ANTE, EX POST ; BY INDICATORS OR RANDOMIZED ?
Semester : Autumn Number of hours : 24 Language of tuition : English
Teachers : Carlo BARONE (Professeur des Universités), Carlos HINOJOSA (Ingénieur conseil). Pedagogical Format : Seminar Course validation : - Group paper : each group will write an experimental protocol to evaluate either an existing programme implemented in a large metropolis or an intervention that could be developed to solve a well-documented policy issue. The group will choose the country and the intervention to be evaluated. While the teacher explains during the lecture each step of the experimental design, the group will apply these contents to their case study. - Quality of the participation to lectures and of the presentation of the group paper. Workload : Students are expected to actively participate in the lectures and to develop their group