Summer Term 2020

The lecture "Introduction to Statistics“ will take place (initially) online. The teaching is planned to be mainly asynchronous. At the beginning of the semester (April 20th, 2020) you will find all information and learning materials on Moodle under "Statistics_2020" (Lecturer: Dr. Sylvi Rzepka). In the first week of lectures, access to the Moodle course will not require a password. After that, please register by email: rzepkauempwifo.uni-potsdampde

Downloads

• Exam Results Summer Term 2020 (German)
• Repeat Exam Results Winter Term 2020/21 (German)

Replacement dates for holidays

• Lecture:  30.04., 16.00 - 18.00, H04.

Exam

• Written exam (90 min.)

Creditable as

• B.BM.VWL.410, B.VM.VWL.510, BA-600, BA-P-601, B51

Content

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.

Topics

• Descriptive Statistics
• Data Collection and Data Presentation
• Probability Calculus
• Inferential Statistics

Literature

• Schira, J. (2016): Statistische Methoden der VWL und BWL. Pearson Studium.
• Schlittgen, R. (2012): Einführung in die Statistik. Oldenbourg Verlag. 

Students enroll in this colloquium during their Bachelor thesis.

Creditable as

• Economics: B.FK.VWL.110, B.KO.PUW.110

The course is held in English.

Downloads

• Preliminary Time Schedule

Exam

• Written exam (90 min)
• Active participation and presentation in practical sessions
• Term paper

Creditable as

• MA-S-600, MA-061

Requirements

• MA: Advanced Microeconometrics strongly recommended

Content

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.

Topics

• Causality and the Potential Outcome Framework
• Experiments
• Unconfoundedness
• Matching
• Difference-in-Differences
• Instrumental Variables
• Regression Discontinuity

The lecture will be complemented by a practical computer session where the estimators will be implemented using STATA.

Literature

• 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.