Centro Studi di Politica Internazionale (CeSPI) Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some methods and recent developments in causal inference and program evaluation using Stata. It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent microeconometric methods for policy evaluation and causal modelling in situations where the standard “binary” treatment setting poses limitations. More specifically, the course will focus on these approaches: (i) Difference-in-differences (DID) both static and with time-varying binary treatment; (ii) the Synthetic Control Method (SCM) for program evaluation, suitable when datasets on many times and locations are available; (iii) matching estimator. The course will provide various instructional examples on real datasets.