Intermediate Econometrics

The inspection for the Intermediate Econometrics exam will take place on Tuesday 22 April 2024 from 10:00 until 10:45 in room 01012, Rempartstr. 16, 1st floor. Prior registration on Ilias is necessary. For further questions you may contact jasper.rennspies@vwl.uni-freiburg.de.

By request, we will offer an additional exam inspection for the Intermediate Econometrics exam from February 11 on Monday March 31 from 10:30 till 11:00 in the Institute of Economics, Rempartstraße 16, 1st floor, Room 01 012.
To attend, book a slot of 15 minutes on the ILIAS page of the course Intermediate Econometrics (WiSe 24/25) under "Exam Inspection Intermediate Econometrics WiSe 2024-2025 (Additional)".
Please bring with you an ID with a photo and a student card with your matriculation number. It is not allowed to take any kind of pictures during the inspection.

The teaching for this course will begin on October 14, 2024.

As specified below, the course is compulsory for students writing the exam for 6 ECTS points (Master VWL) starting (most probably) with week 5 (November 11, 2024).

Registration for the Lecture	Students have to sign in for this course in HISinOne. The registration in ILIAS will be carried out automatically.
Registration for the Exam	Please note that the registration for the lecture does not automatically mean that you are registered for the exam! A separate registration for the exam is mandatory! You can find the current examination dates as well as further information on the registration for the examination as well as the deadlines for registration and deregistration of the examinations on the homepage of the examination office.
ILIAS	In ILIAS, the course can be accessed without a password until October 21, 2024, 08:59 a.m. Starting with October 21, 2024, 9:00 a.m., a password will be required in order to access the course material as well as the updates and relevant information in ILIAS. The password will be sent to all registered students via ILIAS on October 21, 2024 at 9:00 a.m.
Instructors	Prof. Dr. Roxana Halbleib (Lectures) Jasper Rennspies (Exercise Sessions) Qingyao Lai (Additional Tutorial)
Language	English
Lectures	Mondays from 12:30 to 14:00, HS 1098 (KG I) Tuesdays from 12:30 to 14:00, HS 1199 (KG I)
Exercise Sessions	Tuesdays from 16:30 to 18:00, HS 3042 (KG III) Wednesdays from 14:30 to 16:00, HS 1015 (KG I) Wednesdays from 16:30 to 18:00, HS 3042 (KG III)
Additional Tutorial	The additional tutorial takes place on Friday from 8:30 to 10:00 in R3 Peterhof, starting in the second week of the semester on October 25, 2024. It is intented for students who have questions about the material covered in the lecture, especially for students who did not have a proper introduction to econometrics in their Bachelor studies or who have a hard time following the lecture(r). No new material (not yet covered in lectures and exercise sessions) will be presented / discussed! It takes place as a Q&A session. You can also participate online through BBB in ILIAS. Please let the instructor in advance know if you need a BBB appointment.
Credits	10 ECTS (M.Sc. in Economics) 6 ECTS (M.Sc. VWL, M.Sc. BWL)
Work Load	Approx. 300 hours (10 ECTS) Approx. 180 hours (6 ECTS)
Requirements	Knowledge of mathematics, statistics, probability theory and inference and hypotheses testing (as taught in any standard 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.
Contents	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 exercise sessions, where both theoretical and computer exercises are solved. While the theoretical exercises aim at understanding and deepening the theoretical concepts, the computer exercises aim at providing students with practical skills in undergoing empirical work by using R. The course is divided in two parts: Part I (taught most probably in the first 4 weeks of teaching) is mandatory only for 10 ECTS. Part II (taught starting most probably with week 5 of teaching) is mandatory for 6 and 10 ECTS. The 6 ECTS students may also visit Part I of the course in order to refresh their pre-requisite knowledge. However, it is required that 6 ECTS students visit the first lecture, where organisational issues of the course throughout the semester are presented. Part I including both lectures and exercise sessions consists of a review of the methods taught in the statistics and econometrics courses in the Bachelor of Science in Volkswirtschaftslehre (Economics) including the bivariate regression analysis. Part I is mandatory for the 10 ECTS students, but not for the 6 ECTS students. Part II includes advanced topics, such as: functional forms, heteroskedasticity, instrumental variables, asymptotic theory of OLS and quantal response models, will be covered. Part II is compulsory for both students writing the exam for 10 ECTS points (Master in Economics) and students writing the 6 ECTS points (Master VWL).
Main References	Introductory 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. (2020): Econometric Analysis, 8th ed., Pearson Prentice Hall. Other book editions are acceptable as well. eBook Pohlmeier, W. (2020): Econometrics I, Lecture Notes, University of Konstanz, unpublished, downloadable from Ilias. Additional Literature Stock J. H. and M. W. Watson (2019): Introduction to Econometrics, updated 4th ed., global ed., Pearson. Old book editions are acceptable as well. Angrist J. D. and Pischke J. S. (2009): Mostly Harmless Econometrics – An Empiricist’s Companion, Princeton University Press. eBook Angrist J. D. and Pischke J. S. (2014): Mastering Metrics: The Path from Cause to Effect, Princeton University Press. Heiss F. (2016): Using R for Introductory Econometrics. online version Kleiber C. and Zeileis A. (2008): Applied Econometrics with R, Springer. eBook Hansen B. (2022): Econometrics, Princeton University Press. Hansen B. (2022): Probability and Statistics for Economists, Princeton University Press. Hanck C., Arnold M., Gerber A. and Schmelzer M. (2020), Introduction to Econometrics with R. online version VPN access is required for the eBooks. Further references will be given throughout the course.
Exam	Date and starting time: 11.02.2025, 12 p.m. - 6 ECTS (90 minutes): HS 3219 - 10 ECTS (120 minutes): GHS Biologie Schänzlestr. 1 A separate registration is mandatory for the exam! Period for registration and deregistration: 16.12.2024 - 16.01.2025 Please find further details on the examination office's homepage. The material discussed in the lectures and tutorials is relevant for the exam. In the exam you may use the "Formulas and Tables for Econometrics", which are handed out to you by us at the exam. You may also use a non-programmable calculator and a hardcopy of a German-English dictionary book.
Retake Exam	Date and starting time: 21.08.2025, 12 p.m. - 6 ECTS (90 minutes): HS 1199 - 10 ECTS (120 minutes): HS 1010 A separate registration is mandatory for the exam! Period for registration and deregistration: tba Please find further details on the examination office's homepage. The material discussed in the lectures and tutorials is relevant for the exam. In the exam you may use the "Formulas and Tables for Econometrics", which are handed out to you by us at the exam. You may also use a non-programmable calculator and a hardcopy of a German-English dictionary book.
Grading	100% final exam
Target Group	The 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).