The aim of this course is to provide the participants with a basic understanding of empirical economics and to give them an introduction to econometrics. Building on the lecture "BA: Statistics" the participants shall be enabled to conduct empirical analysis on their own.
Analysis of economic relationships
Introduction to econometrics
Introduction to STATA
Estimating, testing and predicting in the simple and multiple regression model framework
Problems and extensions of the multiple regression model
Wooldridge, J. (2013): Introductory Econometrics. A Modern Approach. South-Western Cengage Learning.
Schira, J. (2012): Statistische Methoden der VWL und BWL. Pearson Studium.
Kohler, U., Kreuter, F. (2008): Datenanalyse mit Stata. Oldenburg Verlag.
19.10.16 Kick-off meeting: at 16.00 (s.t.), Room 3.06.S12
23.10.16 Official registration with 3 preferences of topics (via E-Mail)
26.10.16 Assignment of topics (via E-Mail)
01.12.16 Interim presentation: Room 3.06.S13
10.01.17 Submission of seminar paper until 12.00 noon: 2x printed, electronic version via E-Mail
12.01.17 Assignment of paper to be discussed (via E-Mail)
19.01.17 Final presentations and discussions: Room 3.06.S21
Participation in all meetings
Compliance with all dates and deadlines
Seminar paper (max. 25 pages)
Discussant of another seminar paper at the final presentation
Economics: MA-FK-600, MA-W-210/220
MA: Public Policy Evaluation recommended
In this seminar we will focus on two recent “hot” topics in labour economics: “Minimum Wages” and “Migration”. On the one hand, we will shed light on different aspects of minimum wage introductions and their various consequences. On the other hand, we will identify the effects of migration on the receiving societies’ labour markets and look at post-migratory economic outcomes for migrants themselves. The focus of this seminar lies on the examination and replication of already published research findings from highly ranked economic journals.
Replication of scientific findings becomes increasingly important in economics. This can mean pure re- construction and re-assessment of existing estimations, but may also include an extension of the applied methods and the use of different data. The goal of this seminar is to choose a scientific article for which data is available and replicate its estimations using the same data and methods. After checking the results, an additional sensitivity analysis is in order. This can be achieved by testing for effect heterogeneity or changing specifications, for example. Where possible it may also be interesting to re-run the estimations based on other data for different regions or different populations and compare the results to those in the article. This will be excellent preparation for a prospective master thesis.
The replicability of scientific results obviously depends on the availability of data. Therefore, an increasing number of economic journals demand the submission of data sets used for the estimations. Journals such as The American Economic Review, the American Economic Journal: Applied Economics, the Journal of Applied Econometrics and the Journal of Political Economy provide free public access to a large variety of data sets in their online archives. Anderson et al. (2008) predict that due to the publication of data, research will be carried out more thoroughly in the future and will be better able to correct itself and advance faster.