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Einrichtungen >> Wissenschaftliche Einrichtungen der Universität >> Bamberg Graduate School of Social Sciences (BAGSS) >>
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HS: MA/SM: Analyse politischer Institutionen: Applied Regression Analysis [Import]- Dozent/in
- Dr. Florian Weiler
- Angaben
- Hauptseminar
2 SWS
Zeit und Ort: Mo 10:00 - 12:00, RZ/00.05
- Voraussetzungen / Organisatorisches
- Type: BAGSS-Seminar and MA Seminar (Hauptseminar Analyse politischer Institutionen)
Time and venue: Monday, 10 - 12 am, room RZ/00.05 (Starting 06.10.2014)
Registration: Flex Now, 01.09. - 20.10.2014 (Deregistration until 27.10.2014)
Grading: Term paper (50%), 3 problem sets (50%)
Prerequisite: Knowledge of introductory statistics
ECTS: 8
- Inhalt
- Course Description:
This course is designed for students interested in statistical analysis who already possess some
basic knowledge about statistics and, if possible, regression analysis. In the first part of the
course we will discuss the basics of statistical modeling, i.e. what is a model, how does it
relate to the data generating process, and which are the elements needed in each statistical
model. After this short theoretical part, we will cover the classical linear regression model, the
assumptions we make when running such a model, and how violations of these assumptions can
be detected and fixed. Next we will discuss maximum likelihood estimation and then apply this
technique to binary and categorical dependent variables (logit, probit, count models, etc.). In
all these parts of the course we will discuss how to improve the basic models. The focus of the
course in not on mathematics, but to give students an intuition of how the different modeling
techniques actually work. In addition, the course will be very hands-on and application-oriented.
Thus, at the end of the course participants should be able to apply the covered material to
their own research. In addition, students should learn how to graphically present the results of
the models for professional publications.
- Empfohlene Literatur
- Introductory Readings
Wooldridge, Jeffrey M. (2002). Introductory Econometrics. A Modern Approach. Mason, OH:
Cengate Learning.
Fox, John (2008). Applied Regression Analysis. Los Angeles, London: Sage.
Fox, John and Sanford Weisberg(2011). An R Companion to Applied Regression. Los Angeles,
London: Sage.
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 20
Hinweis für Web-Redakteure:
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