The course is an introduction to causal inference, specifically causal induction from observational data. The purpose of the course is to draw conclusions about whether and to what extent one variable X affects another variable Y, when we cannot or do not want to perform an experiment. Students, upon successful completion of the course, will be able to understand what constitutes a causal research question and how we can answer that research question using observational data and a typical set of tools likely to be used by someone engaged in by causal induction. Some of these tools are statistical, such as regression, while others are research designs that have proven useful for answering many research questions, such as estimating differences in differences.
Dr. Achilleas Vassilopoulos is an Assistant Professor at the Department of Agricultural Economics of the Agricultural […]
