Syllabus

Title
1422 Advanced Econometric Models and Methods (Science Track)
Instructors
Univ.Prof. Dr. Jesus Crespo Cuaresma, Univ.Prof. Mag.Dr. Harald Oberhofer
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
10/05/22 to 10/05/22
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 10/10/22 10:00 AM - 12:00 PM TC.4.12
Monday 10/17/22 10:00 AM - 12:00 PM TC.4.12
Monday 10/24/22 10:00 AM - 12:00 PM TC.4.12
Monday 11/07/22 10:00 AM - 12:00 PM TC.4.12
Monday 11/14/22 10:00 AM - 12:00 PM TC.4.12
Monday 11/21/22 10:00 AM - 12:00 PM TC.4.12
Monday 11/28/22 10:00 AM - 12:00 PM TC.4.12
Monday 12/05/22 10:00 AM - 12:00 PM TC.4.12
Monday 12/12/22 10:00 AM - 12:00 PM TC.4.12
Monday 12/19/22 10:00 AM - 12:00 PM TC.4.12
Monday 01/09/23 10:00 AM - 12:00 PM TC.4.12
Monday 01/16/23 10:00 AM - 12:00 PM TC.4.12
Contents

This course presents a rigorous introduction to the core topics of modern econometrics with a focus on the mathematical and statistical foundations. Topics such as linear regression, ordinary and generalized least squares, maximum likelihood and statistical testing in regression models are covered.

Learning outcomes

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

Attendance requirements

Attendance is compulsory and students are expected to present at at least 80% of all dates. Students should have a sound knowledge of statistics and mathematics (matrix algebra in particular).

Teaching/learning method(s)

Frontal teaching, group exercises. 

Assessment

Mid-term test (40%), final test (40%), exercises (20%).A positive joint mid-term and final test (50% threshold of total points) is required for passing the course.

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Last edited: 2022-04-20



Back