Doctoral candidates and early-stage researchers face a wide variety of professions and career paths open to them. Launching a career and attaining long-term success in these professional fields often demands a wide range of competencies. The Graduate Centre offers training programmes that specifically cater to the needs of early career researchers.
While our information events address cross-disciplinary aspects relevant to early-stage researchers' qualification, our workshops (organized by the Centre for Careers and Competencies) aim at supporting and expanding the skills involved in conducting research.
The foundation of any scientific work at the University of Passau is compliance with the recognised principles of science such as being honest, working lege artis as well as documenting and constantly questioning all results. Scientific misconduct harms the person concerned, the university and science in general. In order to increase awareness of the basic rules and to strengthen the researchers' trust in one another, the Graduate Centre offers an e-learning course free of charge entitled "Good academic practice".
Please contact us if you would like to participate in the e-learning course. You will receive log-in data and further information that will allow you to take part in the e-learning course anytime from your computer.
For further information events, workshops and other events offered by the Graduate Centre in German please refer to the German version of this website.
The faculties pool our researchers' expertise. Although the university does not offer a comprehensive doctoral curriculum, the faculties offer a variety of lectures and seminars that help doctoral researchers deepen their disciplinary knowledge. Each semester, these events are carefully selected to meet doctoral researchers' needs.
35777 Vorlesung: Econometric Methods (WiSe 22/23)
ZeitenDi. 08:30 - 10:00 (wöchentlich), Ort: (AM) HS 9, Termine am Freitag. 03.02.23 10:30 - 12:00, Mittwoch. 08.02.23 08:00 - 10:00, Ort: (WIWI) SR 026, (WIWI) HS 8
Ort(AM) HS 9: Di. 08:30 - 10:00 (14x), (WIWI) SR 026: Freitag. 03.02.23 10:30 - 12:00, (WIWI) HS 8: Mittwoch. 08.02.23 08:00 - 10:00
Erster TerminDi., 18.10.2022 08:30 - 10:00 Uhr, Ort: (AM) HS 9
BeschreibungThis course provides an introduction to the methods of econometrics at international standard master's level. The following content will be covered: Regression analysis, econometric models, hypothesis testing in regression, endogeneity, heteroskedasticity.
HeimateinrichtungLehrstuhl für Statistik und Data Analytics
VoraussetzungenBachelor's level understanding of calculus and matrix algebra, introductory statistics including inferential methods, regression analysis, and testing methods. Basic knowledge of R statistical software is an advantage.
LernorganisationThis lecture is organized in a set of lectures and tutorials (Übungen). In the tutorials students solve problem sets corresponding to the topics of the lecture, some of the tutorials are hands-on using the open-source statistical software R. Students are explicitly invited to play an active role in lectures and tutorials through questions and input for discussions. Additionally, students are invited to indicate those parts of the course for which they need additional training. Readings are essential to prepare the class and the exam.
LeistungsnachweisEnd-of-semester written exam, 60 min., or home performance assessment, 100%.
- Hansen, B. (2021), Econometrics. http://www.ssc.wisc.edu/~bhansen/econometrics/
- Davidson, R. & J.G. MacKinnon (2009), Econometric Theory and Methods, Oxford Univ. Press.
- Stock J.H. & M.M.Watson (2019) Introduction to Econometrics. 4e. Pearson.
- Angrist J.D. & J.S. Pischke (2009) Mostly Harmless Econometrics. Princeton Univ. Press.
For further lectures and seminars offered by the faculties in German please refer to the German version of this website.