Prof. Dr. Philipp Dörrenberg,
Prof. Dr. Johannes Voget
|Courses||Lecture and Exercises|
|Form of Assessment||
Presentation of Data Set (20%)
Presentation of Empirical Project (40%)
Report about Empirical Project (40%)
Students are provided an overview of the most important methods and approaches for applied empirical research and gain practical experience in conducting an empirical analysis. One part of the course teaches the most important methods to estimate causal effects. These include, but are not restricted to, randomized experiments, linear regression, fixed effects estimators, difference(s)-in-difference(s), instrumental variables and regression discontinuity design. The focus is on understanding the advantages and disadvantages of the available econometric methods and less on a highly technical presentation. Illustrative examples will always be from the field of taxation. The other part of the course focuses on hands-on empirical applications and students learn how to conduct their own empirical analysis. For this purpose, students are introduced to the usage of a statistical software package (Stata) and to the access and analysis of large data sets (in particular firm databases sets such as Amadeus or Compustat). This part of the lecture will also use examples from research in the field of taxation. To receive a grade, students are required to write a short term-paper which presents the results from their independently conducted empirical analysis (either an own research idea or a replication) and/
Recommended: Introductory classes on statistics and/
Oct 21., 01.45-03.15 p.m.
Mark will talk about tax planning and tax consultancy in a big-4 accounting company. The lecture provides insights on the latest developments in tax advisory work in practice. Mark will particularly focus on the role of empirical methods, analytics and data for tax consultancy. Please note that the guest lecture does not replace the regular class on Oct. 21 at 12.00.