IRVAPP Winter School 2019 - Fundamentals and Methods for Impact Evaluation of Public Policies
The course is designed to be of particular benefit to Ph.D. students and researchers in all Social Sciences needing to undertake policy evaluation analysis using microdata. The School will present 1) the fundamental principles of impact evaluation with a specific focus on the counterfactual theory of causal inference and 2) a variety of statistical tools for counterfactual analysis (including Matching methods, Instrumental Variables, Regression Discontinuity Designs , Difference-in-Differences, and Synthetic Control Methods). Extensive laboratory sessions will provide the opportunity to apply the various techniques to specific education and anti-poverty policies.
The 11th edition of this school will run over six consecutive days of theoretical and practical sessions, from January 14 to January 19, 2019. Training will require previous knowledge of basic principles for quantitative methods that correspond to those taught in introductory courses of statistics and econometrics at the undergraduate level. At least, a working knowledge of regression and multivariate analysis is expected. Although the exercises will be guided, basic familiarity with Stata is strongly recommended
Registration closes on 18/11/2018.
To apply, candidates are invited to fill in the online form by November 18th, 2018 (please note that the CV is required). Admitted applicants will be notified by November 23rd, 2018. In order for the application to be considered valid, payments by bank transfer must be received by December 3rd, 2018.