The econometrics teaching program is offered in a cycle over 3 terms. In Econometrics I, the foundations of the subject are dealt with: causality, correlation, assumptions of the linear regression model, OLS estimation, asymptotic tests, misspecification, outliers, heteroskedasticity and an introduction to E-views. In Econometrics II, advanced subjects are covered: Time series analysis, endogeneity, instrumental variable estimation, panel data and limited dependent variable models. In Applied Econometrics, a deeper analysis of selected topics is offered and students are required to write an empirical, applied-econometric essay.

This course provides an introduction to the analysis of economic data using econometric methods. After having taken the course, students should be able to understand empirical studies published in scientific journals and carry out econometric work by themselves.

Attendance is compulsory.

If you have a valid registration for the lecture, but will not participate, please deregister during the registration period of LPIS. Your place will be available for other students.

During the registration period, free places are filled according to the “first-come, first-served” principle. After the end of the registration period, the number of places is increased and students on the waiting list will be registered for the lecture. Students in the BBE-program will be added first, should places remain, they will be filled by BaWiSo-students based on their progress in their studies.

Attendance in the first session is necessary, any absence will lead to deregistration! Any remaining places in the classes will be allocated to students attending the first session according to the waiting list. No places will be allocated by email or by phone.

Registration for the lecture cannot be guaranteed. Any student dropping out of the course who has already submitted a gradable task will receive a negative grade.

Sound knowledge of statistics and mathematics

Software:

Carrying out empirical work is part of the content of the course. As standard software package we will use EViews (© Quantitative Micro Software), which is available in the PC classrooms.

Supplementary Literature:

Baltagi, B. (2008). Econometrics, New York: Springer.

Greene, W. (2003). Econometric analysis, 5. ed., U.S.River, N.J.: Prentice Hall.

Gujarati, D.N., Porter, D.C. (2009). Basic Econometrics, New York: McGraw Hill.

Hackl, P. (2005). Einführung in die Ökonometrie. München: Pearson Studium.