Course will cover some of the most popular techniques for estimating causal effects with observational data: propensity score matching, instrumental variable regression, regression discontinuity designs and fixed effects models. Special emphasis will be placed during the course on discussing the plausibility of the identifying assumptions, the data requirements and other practical and theoretical challenges for the implementation of each method.
- Teacher: Mirkka Danielsbacka
- Teacher: Patricia McMullin