The mode we propose corresponds to the rotation mode insofar as we provide that the student groups are present alternately in the lecture hall. It specifies the rotation mode in more detail, since we provide for the students who are not in the lecture room that they take part in the course units remotely and synchronously (we are not asking them to learn the material covered in the unit in self-study).

Please create access to Microsoft Teams before the first lesson. Microsoft Teams is used flexibly, either at the lecturer's desk in the lecture room (or - if it is not allowed to enter the lecture rooms - in the home office). The screen of the lecturer's desk is shared between the students in the lecture room and those at home. For the students in the lecture room, the lecturer's PC projects onto the whiteboard; students at home need their own laptop (tablet), with which MS-Teams can share the screen. The sound is transmitted from the lecture room via a microphone to the students in the home office. (It is not intended / necessary to film the lecturer.)

The course takes place synchronously; it is not intended to record the units for asynchronous use.

If you are not subject to travel restrictions, attendance is mandatory (either in the lecture room or remotely via MS-Teams) on specified dates. Please expect that – most likely – you will have to be present in the lecture room every second meeting. Depending on the Corona situation, the meetings with physical attendance will be announced shortly before the course begins. Please note that this mode is very flexible and the presence in the lecture room can vary between 0% - 100%.

Only if you are subject to travel restrictions can you take part in the course in remote mode.

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, limited dependent variable models, simultaneous equation models and panel data 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 datausing econometric methods. After having taken the course, students should beable to understand empirical studies published in scientific journals and carryout econometric work by themselves. The course complements and expands thesubjects dealt with in Econometrics I. 

Attendance is compulsory. 

i) Exercises + class participation: 30% ii) Midterm exam: 35% iii) Final exam: 35%

A positive combined midterm and final exam (50% threshold) is a prerequisite for passing the course. 

harald.badinger@wu.ac.at