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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.
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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.
35621 Vorlesung: Computational Statistics - Regression in R (WiSe 22/23)
Course timesDi. 10:00 - 12:00 (wöchentlich)
Course venuenicht angegeben
Start dateDi., 18.10.2022 10:00 - 12:00 Uhr
Teaching contact hours per week
DescriptionThe course focuses on estimating regression models and evaluating the estimated specifications with the statistical software R. Model evaluation procedures discussed in class range from graphical methods, classic validation techniques and tests to simulation-based approaches. The effects of variables being measured on different scales and variable transformations are discussed. Dealing with different data structures such as cross-sections, time series, and panel data is also covered in class.
Home institutionLehreinheit für Computergestützte Statistik und Mathematik
Pre-requisitesThe course aims at students with a basic knowledge in statistics and complements some of the topics treated in 'Methods in Econometrics I and II'.
Mode of studyGuided computer tutorials; students are expected to deepen their knowledge by completing self-contained R-exercises and by presenting/explaining code snippets.
AssessmentsFinal exam (60 minutes); R-skills are certified via a certificate when the final exam is passed.
Indicative reading list
- Kleiber, C. & A. Zeileis (2008), Applied Econometrics with R, Springer.
- Field, A. & Miles, J. & Field, Z. (2012), Discovering Statistics using R, SAGE.
- Wooldridge, J. (2013), Introductory Econometrics, 5Ed., South Western.
- Greene, W.H. (2012), Econometric Analysis, Pearson.
- Ligges, U. (2008), Programmieren mit R, Springer.
Additional informationCourse is taught in English.
For further lectures and seminars offered by the faculties in German please refer to the German version of this website.