Microeconometrics

The course is designed to introduce students to the most common econometric methods in the literature to deal with causal inference. Methods will be analysed in detail, but focus will be on the intuition behind the method. The course will cover regression models, matching, instrumental variable models, along with regression discontinuity, difference in difference and panel data models. Applications will be considered throughout with the use of statistical software Stata.

At the end of the course students will be able to formulate research questions that deal with causal effects. Students will be able to select and apply the most appropriate method to identify parameters of interest. They will also be able to appreciate pros and cons of each method in different contexts.