Lehrende/r: Prof. Dr. Reyn van Ewijk / Paul Witte
Veranstaltungsart: Vorlesung mit integrierter Übung / Lecture with integrated exercise
Anzeige im Stundenplan: Data Science EconWay
Semesterwochenstunden: 2+1
Unterrichtssprache: Englisch
Zugangsvoraussetzungen / Prerequisites
This course assumes that you already have some experience with regression analysis using ordinary least squares (OLS). Having passed the course “Empirische Wirtschaftsforschung” or a comparable course in Empirical Economics is therefore strongly recommended.
Lernziele / Learning Goals
This course provides students with essential data science skills. After completing the course, you should be able to:
- Handle and analyze data using Stata
- Understand and apply a core set of econometric methods (see below)
- Apply a structured approach to data analysis, and understand and evaluate the assumptions underlying econometric analyses
Inhalt / Content
Handling and analyzing data, and understanding relationships between variables, are essential skills in today’s world. Econometrics can be seen as the original data science. It analyzes data in a highly structured way, with a focus on causal relationships, regression-based methods, and careful checking of assumptions.
In this course, you will gain practical experience in data handling and analysis using Stata. You will learn a core set of widely used econometric techniques, including ordinary least squares regression, panel data methods such as fixed and random effects and difference-in-differences analysis, as well as methods for handling binary dependent variables (probit and logit). The course also includes a “learn it from the pros” section, in which we discuss scientific articles.
Language: English
Literature: Selected chapters from Stock & Watson (2019), Huntington-Klein (2021), Wooldridge (2020), Cameron & Trivedi (2022), plus a few selected scientific articles