Advanced Econometrics

This course provides abasictreatment of econometric methods, discussing theoretical concepts as well as applying them to real world data sets taken from finance, accounting and/or economics. Building on a sound understanding of the regression model and least-squares estimation, the emphasis lies on the OLS model, as well as estimation and inferences in multiple regression analysis. We will also cover linear probability models, and do a brief introduction in time series and panel data analysis. The course takes the form of interactive lectures with exercises: on the one hand, basictheoreticalmaterial is presented and illustrated by means of exercises and the use of the Stata software package; on the other hand, participants are given a bigger courseproject to practice the use of the software themselves. An additional course feature is the discussion of academic research articles. We will talk about potential research questions and how others have answered these questions by means of econometric techniques. By the end of the course, participants will have knowledge of how to analyse simple econometric models as presently used in finance, accounting and economics. They will be able to follow the state-of-the-art literature on these topics and engage in empirical econometric analyses of their own, using the popular Stata software package.

panel data analysis, instrumental variable methods, propensity-score matching, time-series analysis

recommended: Introductory Econometrics, International Edition (Englisch) Taschenbuch – Jeffrey M. Wooldridge (Autor)

lecture + group assignments

written exam