Statistical Modelling of the Spatial Theory of Voting

This course introduces to the theory and to the statistical analysis of the spatial theory of voting. Starting with Downs’ seminal work, we delineate core assumptions and the conceptual development until most recent publications. The appropriate translation of these appoaches into a statistical model requires the application of so-called conditional logit models – practicing these models will be the core objective of this course.

Course leader

Paul W. Thurner
University of Munich

Target group

Advanced students and junior researchers in political science and adjacent disciplines

Course aim

as above

Credits info

2 EC
Participants have the opportunity to gain 2 ECTS credits from the University of Vienna for attending an Introductory or Advanced Courses (15 hours). Participants must successfully complete their course, and successfully complete their project assignment in order to obtain 2 ECTS credits – Transcripts will be sent to the participants by The University of Vienna.

For all courses being attended (Introductory, Advanced and/or Software Training Courses), participants also receive a certificate of attendance.

Certificates of accreditation (if applicable) as well as certificates of attendance are sent to the participants after the Winter School has ended, by the University of Vienna

Fee info

EUR 0: ECPR Member – €495
Non-ECPR Member – €690
ECPR Member who has attended the ECPR SSMT 2012* – €445
Non-ECPR Member who has attended the ECPR SSMT 2012* – €640
*There is a €50 loyalty discount deducted from all Introductory and Advanced Courses to participants who attended the 2012
Summer School in Methods and Techniques (SSMT) in Ljubljana (this discount does not apply to Software Training Courses).

Scholarships

Self funded students from ECPR member institutions will be able to apply for funding in the form of scholarship funds and travel and accommodation grants. Please use the following link for further information: http://new.ecprnet.eu/Funding/WinterSchool.as