Angewandte empirische Wirtschaftsforschung/Applied Econometrics - Einzelansicht

This seminar has 2 main learning goals: 1) introduce the main concepts of machine learning (ML), especially underlying supervised learning methods, and 2) identify how ML can be used in applied economic research and even enhance causal inference. We will not only discuss text book chapters and empirical economics papers, but also learn how to implement ML methods in R. Students will have the chance to get to know R through online courses provided by "Datacamp for the classroom'' and hands-on problemsets.

If interested in participating, please register by sending an email to rzepka@empwifo.uni-potsdam.de by November 6, 2020 stating your name, matriculation number and a list of courses you have taken at the Chair of Empirical Economics including the grade you achieved. We recommend successful completion of the courses "MA: Microeconometrics'' as well as "MA: Public Policy Evaluation''. The number of participants in the seminar is limited.

For a detailed syllabus please check the teaching website of the chair: https://www.uni-potsdam.de/de/empwifo/studium-lehre/aktuelles-semester