This course deals with fundamental statistical methods and their applicability in business administration and economics. Students will be enabled to analyze economic theories and issues statistically and to interpret the results with regard to their content. After completion the students should have a methodological base for further studies.
Data Collection and Data Presentation
Schira, J. (2016): Statistische Methoden der VWL und BWL. Pearson Studium.
Schlittgen, R. (2012): Einführung in die Statistik. Oldenbourg Verlag.
The aim of this course is to provide participants with a deeper understanding of microeconometric estimation techniques. We will use the topic “Policy Evaluation” to illustrate and discuss several methods under various types of assumptions.
Causality and the Potential Outcome Framework
The lecture will be complemented by a practical computer session where the estimators will be implemented using STATA.
Caliendo, M. and Hujer, R. (2006): The Microeconometric Estimation of Treatment Effects - An Overview, Journal of the German Statistical Society / Allgemeines Statistisches Archiv, 90(1), 197-212.
Imbens, G., and J.M. Wooldridge (2009): Recent Developments in the Econometrics of Program Evaluation, Journal of Economic Literature, 47(1), 5-86.
A detailed reading list with relevant papers will be distributed in due time.