Accueil > Advanced statistics for policy analysis


Type d'enseignement : Seminar

Semester : Spring 2017-2018

Number of hours : 24

Language of tuition : English


Basic knowledge on descriptive statistics and some introductory knowledge on correlation and regression analysis. Beginners can come, some remedial class will be provided to them.

Course Description

This course is an introductory-intermediate course on multivariate statistical methods that may be of use for reading advanced journals and using statistical methods in the field of quantitative social sciences, but especially in the field of public policy analysis and evaluation. The course also aims at making students more effective users of statistical tools in analyzing public policies problems and to give diagnostics about policy solutions. One major objective of the course is to make the students good experts of multivariate regression analysis and its extensions for public policy analysis and to propose presentation of the causal reasoning linked to these technique like diff-in-diff, instrumental variables or discontinuities.


to be defined

Pedagogical format

Course is a lab to orientate the course to practice rather than only-theoretical approach.

Course validation

One reading per week.

Required reading

Damodar N. Gujarati. 2003. Basic Econometrics, 5th edition. NY: McGraw-Hill/Irwin

Additional required reading

  • Angrist, Joshua D., Jorn-Steffen Pischke (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton Univ. Press
  • Morgan, Stephen L., Christopher Winship (2007). Counterfactuals and Causal Inference. Methods and Principles for Social Research. Cambridge Univ. Press
  • Morton, Rebecca B., Kenneth C. Williams (2010). Experimental Political Science and the Study of Causality. Cambridge Univ. Press