The objective of this course is to get the participants up and running with some
basic statistical/econometric techniques, in particular, estimation and inference
with linear and generalized linear models for cross-sectional and panel data.
Doing (applied) statistics/econometrics means using a computer full time and---to
some extend---this class is going to reflect this fact. Students will have the opportunity
to pick up some skills in using the statistical software R.
Students are assumed to have basic knowledge of multivariate calculus, basic statistics
and probability, as well as matrix algebra.
A prior course on real analysis/measure-theoretic probability is certainly helpful but not required.
The same applies to further statistical/econometric preknowledge.
Some experience with the statistical software R (or some comparable package) is handy, but
can be picked up during the class as well.
Main text: Verbeek, A Guide to Modern Econometrics
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Modul | Veranstaltung | Leistungen | |
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31-M-Ectr1 Econometrics 1 | Statistical and Econometric Models | benotete Prüfungsleistung
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Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.
Studiengang/-angebot | Gültigkeit | Variante | Untergliederung | Status | Sem. | LP | |
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Studieren ab 50 |
Each week there will be some mandatory reading and a list of exercises.
Students are expected to do the reading, attend the lectures, attempt some
of the exercises on their own, and actively participate in the tutorial sessions.
Grades will be assinged on the basis of a midterm and a final exam.
Zu dieser Veranstaltung existiert ein Lernraum im E-Learning System. Lehrende können dort Materialien zu dieser Lehrveranstaltung bereitstellen: