Winter Term 2022/23

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.

Room change

• Only on October 17 in room 3.06.H06

Exam

• Written exam (90 min)

Creditable as

• Economics: B.BM.VWL.420,  B.VM.VWL.610
• Business Administration: BA-P-602
• "Studiumplus": BA-SK-W-1

Requirements

• BA: Statistics strongly recommended

Content

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.

Topics

• Analysis of economic relationships
• Introduction to econometrics
• Estimating, testing and interpreting the simple and multiple regression model framework
• Problems and extensions of the multiple regression model
• Policy evaluation
• Introduction to STATA

Literature

• Schira, J. (2012): Statistische Methoden der VWL und BWL. Pearson Studium.
• Wooldridge, J. (2016): Wooldridge (2016): Introductory Econometrics. A Modern Approach, Cengage Learning, Ohio.
• Kohler, U., Kreuter, F. (2012): Datenanalyse mit Stata. Oldenburg Verlag.

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.

The course is held in English.

Downloads

• Exam Results
• Time Schedule

Exam

• Written exam
• Active participation during practical sessions
• Oral presentations

Creditable as

• Economics: MA-B-300, MA-600

Content

The aim of this lecture is to familiarize participants with microeconometric estimation techniques. The lecture will be complemented by a practical session.

Outline

• Multiple Regression
• Instrumental Variables
• Panel Data Methods
• Limited Dependent Variables

Literature

• Wooldridge, J. (2013): Introductory Econometrics. A Modern Approach. South-Western Cengage Learning.
• Cameron, C., and P. K. Trivedi (2005): Microeconometrics. Methods and Applications. Cambridge University Press, New York.
• Greene, W. H. (2012): Econometric Analysis. Pearson, Massachusetts.
• Kohler, U., Kreuter, F. (2008): Datenanalyse mit Stata. Oldenburg Verlag.
• Cameron, C., and P. K. Trivedi (2010): Microeconometrics Using Stata, Stata Press, College Station, Texas.

This event is held in English.

Downloads

• Syllabus
• Template: Declaration of academic honesty (German)

Termine

• 18.10.22, 16 - 18, Room 3.07.0.39: Kick-off meeting.
• 21.10.22, midnight: Deadline for registration via email.
• 29.11.22, 16 - 18 Room 3.07.0.39: 1st presentation (method).
• 24.01.23, 16 - 18 Room 3.07.0.39: 2nd presentation (application).
• Deadline tba Semester thesis due.

Anrechenbar als

• EPQM: MA-E-210 / MA-E-230 / MA-M-210 / MA-M-320 / MA-M-410
• Economics: MA-W-210 / MA-W-220

Voraussetzungen

• MA: Microeconometrics
• MA: Public Policy Evaluation recommended

Zu erbringende Leistung
The final grade will be awarded based on the performance in the two presentations (25%) and the semester thesis (75%).

Inhalt
Title: "Advanced Methods and Applications in Policy Evaluation"
This master seminar aims at providing a deeper understanding of microeconometric estimation techniques that can be used to evaluate public policies. You will learn about issues and recent methodological advances in popular evaluation approaches, such as difference-in-differences. Furthermore, you will practice applying the theoretical insights to an empirical problem of your own choice.
See the syllabus for the list of topics.