After successful completion of the course, students are able to fit a linear regression model for a given data set and in this context to understand corresponding software output and to test statistical hypothesis.

Introduction to econometric models and methods. Linear regression and least-squares estimation, selected applied problems.

Weekly alternating lecture and exercise sessions.

The course language is English. The course consists of a lecture and an excercise part which will roughly alternate weekly. There will be 3 different groups for the exercise part, registration is through TISS. The homework problems for the exercise sessions should be marked in TUWEL. The course starts for all students on Wednesday, March 3 at 2.00pm in ZOOM:

Meeting ID: 975 6972 1138

https://tuwien.zoom.us/j/97569721138

Students have to prepare exercise problems and pass a midterm and a final exam.

• Wooldridge (2013) Introductory Econometric: A Modern Approach.
• Ruud (2000) An Introduction to Classical Econometric Theory.
• Verbeek (2012) A Guide to Modern Econometrics.
• Greene (2011) Econometric Analysis.
• Kleiber & Zeileis (2008) Applied Econometrics in R.

Mathematics (in particular linear algebra) and statistics at bachelor level.