|15.10.2018 - 04.02.2019||weekly Monday|
14.00 - 16.00
|3.06.H08||Dr. Sascha Drahs|
|16.10.2018 - 05.02.2019||weekly Tuesday|
10.00 - 12.00
(04.12. in 3.06.S18)
|Claudia Stier / Linda Wittbrodt|
|17.10.2018 - 06.02.2019||weekly Wednesday|
14.00 - 16.00
|3.06.H08||Claudia Stier / Linda Wittbrodt|
The course will be complemented by the Key Skill module B.SK.VWL.210/ B.SK.MET.210 "Einführung in die computergestützte Datenanalyse" which is organized by the Chair of Empirical Social Research (Prof. Dr. Kohler). More information is available here.
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.
Students enroll in this colloquium during their Bachelor thesis.
The course is provided by the Chair of Methods of Empirical Social Research (Prof. Dr. Kohler).
More information can be found on PULS and on the homepage of the Chair of Methods of Empirical Social Research of Prof. Dr. U. Kohler.
You can find further information here.
|16.10.2018 - 18.01.2019||see Time Schedule||see Time Schedule||Prof. M. Caliendo|
|05.11.2018 - 29.01.2019||see Time Schedule||see Time Schedule||Stefan Tübbicke|
|26.10.2018 - 28.01.2019||see Time Schedule||see Time Schedule||Stefan Tübbicke|
The course is held in English.
The aim of this lecture is to familiarize participants with microeconometric estimation techniques. The lecture will be complemented by a practical session.
|RS/C||Prof. M. Caliendo, Cosima Obst, Daniel Rodríguez|
This event is held in English.
In this seminar we will be conducting replications of published articles. 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 checking underlying assumptions, 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.
In this seminar, we will focus on the methods Regression Discontinuity Design and Difference-in-Differences.
Students enroll in this colloquium during their Master thesis.
The event is held in English.