HS: MA/SM: Analyse politischer Institutionen: Applied Regression Analysis

Dozent/in:

Florian Weiler

Angaben:

Hauptseminar, 2 SWS

Termine:

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.

MA/SM: Introduction to R [MA/SM Introduction to R]

Dozent/in:

Florian Weiler

Angaben:

Vorlesung

Termine:

Blockveranstaltung, 16.3.2015 9:00 - 19.3.2015 18:00, RZ/01.03

Voraussetzungen / Organisatorisches:

Time and date: Monday, 30 March - Thursday, 2 April, 9am-16:00pm Venue: Room RZ/01.03 Registration: Please register by sending a mail to Marc Scheibner (marc.scheibner@uni-bamberg.de). Requirements: Doctoral students admitted to the Bamberg Graduate School of Social Sciences (BAGSS); MA in Political Science or equivalent qualification for visiting students

Inhalt:

Course Description: This workshop introduces students to many of the most commonly used features of R, an open source program for statistical computation. R provides the user with a wide variety of pre-programmed modeling and graphing techniques. But R is also a powerful programming language and allows users to adjust existing functions to their needs, and to write their own functions. This workshop intends to introduce students first to the R language, R s object oriented approach to statistical modeling, and the basics of writing functions, and second to the most commonly used pre-proprammed statistical techniques. The Introduction to R lectures in the morning will be accompanied by lab sessions in the afternoon to provide students with a hands-on experience of the techniques covered in class. The lab is structured to be relatively unguided, providing participants the opportunity to begin digging into the R computing environment at their own pace. During each lab session I will hand out exercises to be completed independently, or in collaboration with other students. I will be at hand to answer questions and help with the almost inevitable coding problems beginners of R are usually faced with. At the end of the course students should be able to work with R independently.

Empfohlene Literatur:

Introductory Readings: Zuur, Alain, Elena Ieno, and Erik Meesters (2009). A Beginner s Guide to R. Springer. Dordrecht, Heidelberg, London, New York: Springer. Fox, John, and Sanford Weisberg (2011). An R Companion to Applied Regression. 2nd edition, Thousand Oaks: Sage Publications, Inc. Muenchen, Robert A., and Joseph M. Hilbe (2010). R for Stata Users. Dordrecht, Heidelberg, London, New York: Springer. King, Garry, Kosuke Imai, and Olivia Lau (2008). Zelig: Everyone s Statistical Software. http://http://projects.iq.harvard.edu/zelig.

S: Seminar zu Themen der internationalen und europäischen Politik: Einführung in internationale Verhandlungen

Dozent/in:

Florian Weiler

Angaben:

Seminar, 2 SWS, Anmeldung:FlexNow 01.09. - 20.10.2014 (Abmeldung bis 27.10.2014); Benotung: Seminararbeit (75 %), Referat (25 %); ECTS: 6

Termine:

Mo, 14:00 - 16:00, FMA/00.06

Inhalt:

Gegenstand des Seminars: Ziel des Kurses ist es einerseits, Studierende mit den grundlegenden Theorien internationaler Verhandlungen vertraut zu machen, andererseits diese theoretischen Konzepte am Fallbeispiel der Europ¨aischen Union zu veranschaulichen und den Kurzteilnehmern so gleichzeitig die Entscheidungsprozesse in der EU n¨aher zu bringen. Ein spezielles Augenmerk wird dabei auf die zwischenstaatliche Ebene gelegt, wie sich also Regierungen und deren Vertreter in internationalen Verhandlungen verhalten und warum, wir werden aber auch die Rolle einzelner Institutionen wie der Kommission oder der Pr¨asidentschaft in EU Verhandlungen untersuchen, sowie Verhandlungen einzelner EU-Institutionen untereinander unter die Lupe nehmen. Im ersten Teil des Kurses werden zu diesem Zweck verschiedene Verhandlungstheorien behandelt, die im zweiten Teil dann anhand empirischer Fallbeispiele konkretisiert werden. Wir werden untersuchen, wie endogenen Faktoren (wie etwa Salienz, Verhandlungsgeschick, Delegationsgr¨oße) aber auch exogene L¨andercharakteristika (wie ¨okonomische Macht) das Verhalten von Staaten und das Verhandlungsergebnis beeinflussen. Gegen Ende des Kurses besch¨aftigen wir und auch noch kurz mit den EU-Erweiterungsverhandlungen.

Empfohlene Literatur:

Einführende Literatur: Kremenyuk, V. (Ed.) (2002). International negotiation: Analysis, approaches, issues. San Francisco: Jossey-Bass San Francisco. Thomson, R. (2011). Resolving controversy in the European Union: Legislative decision-making before and after enlargement. Cambridge: Cambridge University Press. Thomson, R., F. Stokman, C. Achen, and T. K¨onig (Eds.) (2006). The European Union decides. Cambridge: Cambridge University Press.