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Intermediate Econometrics

The exam review of Intermediate Econometrics will take place on the 27th of October
(09:00 - 12:00). Please choose one of the offered time slots in ILIAS.

Due to the corona epidemic, the teaching of this course for the Summer Semester 2020 will begin on May 11, 2020 and it will be offered exclusively in digital form, i.e. the lectures and the exercise sessions will be recorded and uploaded on ILIAS. 

Therefore, please make sure that you register for this course on ILIAS (https://ilias.uni-freiburg.de/login.php) in order to get access to the course material, recorded videos of lectures and exercise sessions as well as to updates and relevant information. Registrations are possible from April 20, 2020 to May 18, 2020, 8:59 am at the latest.

Starting with May 18, 2020, 9:00 am, a password will be required in order to access the course on ILIAS. The password will be sent to all registered students via ILIAS on May 18, 2020 at 9:00 am.

According to the Dean's office of Studies, you will have to sign in for the course in HISinOne. However, this does not automatically mean that you will receive the password to access the course‘s materials on ILIAS. Only the students who are registered in ILIAS will receive the password, i.e. although signed in in HISinOne, please also register in ILIAS for the course until May 18, 2020, 8:59 am, in order to get the password and, consequently, access to the course‘s materials.




Exercise SessionsThe exercise sessions include theoretical and computer sessions. The computer sessions are offered in exchange with the theoretical exercise sessions.
Additional Tutorial

The additional tutorial starts on May 19, 2020.
  • 10 ECTS (M.Sc. in Economics)
  • 6 ECTS (M.Sc. VWL, M.Sc. BWL)
Work Load
  • Approx. 260 hours (10 ECTS)
  • Approx. 180 hours (6 ECTS)

Knowledge of mathematics and statistics as taught in the bachelor program in economics.

Qualification Target

This course aims at providing students with the basic tools in undergoing empirical research on their own. Upon successful completion of this course, students should be acquainted with the fundamentals of regression analysis and with its strengths and limitations. Moreover, they should be able to apply econometric tools and software to real economic problems and to thoroughly understand and critically interpret empirical findings.


The course covers the fundamentals of multiple linear regression analysis applied to cross sectional and time series data with emphasis on both theoretical foundations and empirical applications. The course also covers some selected topics in advanced econometrics.
Besides lectures, the course entails theoretical and computer exercise sessions. While the theoretical exercise sessions aim at understanding and deepening the theoretical concepts, the computer exercise sessions aim at providing students with practical skills in undergoing empirical work by using R. The computer sessions are offered in exchange with the theoretical exercise sessions.

Main ReferencesIntroductory Literature
  • Wooldridge, J. M. (2019): Introductory Econometrics – A Modern Approach, 7th ed., South Western, Cengage Learning. Please note that old book editions are acceptable as well.
  • Greene, W. H. (2008): Econometric Analysis, 6th ed., Pearson Prentice Hall. Other book editions are acceptable as well. eBook

Additional Literature
  • Stock, J. H. and M. W. Watson (2015): Introduction to Econometrics, updated 3rd ed., global ed., Pearson.
  • Angrist, J. D., and J. S. Pischke (2009): Mostly Harmless Econometrics – An Empiricist’s Companion, Princeton University Press. eBook
  • Angrist, J. D. and J. S. Pischke (2014): Mastering Metrics:
    The Path from Cause to Eff ect,
    Princeton University Press.
  • Heiss, Florian (2016): Using R for Introductory Econometrics. online version

VPN access is required for the eBooks.
Further references will be given throughout the course.
  • Written exam (90 minutes for 6 ECTS and 120 minutes for 10 ECTS)
    Thursday, August 6, 2020, 13:00 pm,
    Mensa Institutsviertel
  • Please bring your UniCard and your ID to the exam.
  • Period for registration and deregistration: June 8, 2020 – July 20, 2020
  • Please find further details on the examination office's homepage.

100% final exam

Additional Information

The first two parts of the course involve a review of the methods taught in the statistics and econometrics courses in the Bachelor of Science in Volkswirtschaftslehre (Economics), as well as some advanced topics in regression analysis. This part is mandatory for all students. In the third part, some further advanced topics will be covered. This part is compulsory only for students writing the exam for 10 ECTS points (Master in Economics).

Target GroupThe course is a compulsory 10 ECTS course in the first year of the Master in Economics and a compulsory 6 ECTS course in the first year of the M.Sc. VWL. It can be chosen as an elective 6 ECTS course in the M.Sc. BWL (Quantitative Methoden).





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