Autumn school: ‘Theory and practice of programme evaluation: evidence from regression discontinuity design based methods’
The autumn school ‘Theory and practice of programme evaluation: evidence from regression discontinuity design based methods’ aims at advancing the knowledge and expertise of PhD students as well as junior researchers in the field of programme evaluation, with a focus on social and labour market policies for long-term unemployed and other vulnerable groups (such as women and young people).
A two-day training session on causal inference and programme evaluation will be provided on November 9th-10th 2016, by Fabrizia Mealli and Alessandra Mattei, Professors of Statistics at the ‘Department of Statistics, Computer Science, Applications Giuseppe Parenti’ of the University of Florence. The format of the training will comprise both lectures and practical sessions.
The course will include the presentation of complementary papers. Standard and novel identification and estimation strategies will be introduced for the impact assessment of various public policies in the framework of Regression Discontinuity Design based methods.
The implementation of methods to real data will be demonstrated using R.
The full call and application form can be found here.