This course will cover topics that generally fall under causal inference in Econometrics. We will primarily be concerned with how and when we can make causal claims from empirical data, in particular observational data. This is a difficult task in general and we will see that we require new frameworks and different assumptions. Our aim will be, first to understand these frameworks and assumptions analytically and quantitatively and second, how they play with the Statistical and Econometric Models. At the most basic level, this course will give a thorough understanding of causal reasoning and causal inference in Econometrics. We will cover topics that are related to but not limited to - randomized experiments, matching, weighting, fixed effects, differences-in-differences, instrumental variables, regression discontinuity designs and more.
- Lehrende:r: Carsten Jentsch