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 limited capacity per group is put in place to allow for even group size. There are enough slots for all students! Please send an email in case all groups are full.
The course starts for all students on Wednesday, March 3 at 2.00pm in Freihaus, lecture hall 5.
The course is planned entirely in presence. Changes are possible due to the current COVID situation.
Students have to prepare exercise problems and pass a midterm and a final exam.
Use Group Registration to register.
Mathematics (in particular linear algebra) and statistics at bachelor level.
