This course introduces participants to major basic concepts and tools for quantitative evaluation of public policies. Among the many concepts used by specialists of causal reasoning and policy evaluation, the following will be clarified: counterfactual, potential outcomes, quasi-experiment, treatment effect, and before-after effect. The course will show how statistical methods can be useful to address problems and to create a formal framework for quasi-experimental reasoning. The basics of regression models will be presented in relationship to testing the effect of « treatment » (like a policy change or to be exposed to political reforms).

• Date: POSTPONED TO OCTOBER 2020
• Schedule: 9:00 - 13:00
• Lab Sessions: 14:00- 16:00
• Language: Taught in English