Training courses
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.
Events offered by or via the Graduate Centre
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.
Workshops
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.
Other events
Events offered by the university's faculties
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.
35854 Vorlesung: Natural and Field Experiments (WiSe 22/23)
Lecturers/instructors
Course times
Di. 10:00 - 12:00 (wöchentlich), Ort: (WIWI) HS 6, Termine am Dienstag. 14.02.23 10:00 - 12:00, Ort: (WIWI) SR 029Course venue
(WIWI) HS 6: Di. 10:00 - 12:00 (14x), (WIWI) SR 029: Dienstag. 14.02.23 10:00 - 12:00Start date
Di., 18.10.2022 10:00 - 12:00 Uhr, Ort: (WIWI) HS 6ECTS credits
5Teaching contact hours per week
Description
This course provides an introduction to applied microeconometric program evaluation and thereby creates a valuable basis for understanding a wide range of empirical work not only in economics but also in management, sociology, or political science. Understanding how specific policies/historical events/institutions affect human beings is at the very heart of empirical research in social sciences. Although these questions appear universally, the answers are complicated by the fact that the clean identification of cause and effect goes far beyond the demonstration of naive correlations. This course introduces empirical methods that explicitly aim at distinguishing naive correlation from actual causation. Among the methods discussed are fixed effects strategies, difference-in-differences approaches, instrumental variable techniques, regression discontinuity designs, and field experiments with random assignment to treatment. After a theoretical introduction to the respective methods, seminal empirical research papers applying these methods are discussed in detail. These research papers improve our understanding of how we can apply microeconometric techniques to answer policy relevant questions in a causal way.Home institution
Lehrstuhl für Public EconomicsInvolved Institutions
Credit transfers
Pre-requisites
According § 3 of the Studien- und Prüfungsordnung für den Masterstudiengang International Economics and Business. Basic knowledge in microeconomics and statistics/econometrics recommendedMode of study
Classroom lecture with interactive elements Uebung with tutorials and student presentationsAssessments
100 % final exam (90 minutes) or portfolio (80 % final exam (90 minutes), 20 % oral presentation (20-30 minutes))Indicative reading list
Harrison, G., List, J. (2004), Field Experiments, Journal of Economic Literature, 42(4), 1009-1055.
Rubin, D. B. (1974), Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies, Journal of Educational Psychology, 66(5), 688-701.
Additional information
The lecture and the exam are in English; exam question can be answered in German.For further lectures and seminars offered by the faculties in German please refer to the German version of this website.
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