Vienna, Austria

Election Forecasting

when 17 February 2013 - 22 February 2013
duration 1 week
credits 2 EC

The course provides instruction in election forecasting. The word, “forecasting,” is sometimes used loosely. Here it will have a very specific meaning: the prediction of an event before it happens. Most social science, political science included, does not do forecasting. Instead, they engage in description, e.g., what is happening or what has happened, or explanation, e.g., what are the theoretical reasons something has occurred. Explanation, in particular, wears the scientific mantle, and the tools for its investigation can be sophisticated, i.e., theories, hypotheses, concepts, measures, presented systematically in an equation with a dependent variable as a function of independent variables. That model, as it is called, may then be estimated by a statistical technique, most probably some form of regression analysis.
Election forecasting has taken place at all system-levels of the polity, from the local to the constituency to the region to the nation. Most of it, however, has focused on national elections, mainly presidential or parliamentary. That will be the emphasis here. Although election
forecasting is a relatively new field, by now a number of studies have cumulated, at least for
certain countries. France, The United States and the United Kingdom are often the subject of
such investigation. Note that these political systems have important differences, such as the
executive arrangements or the number of parties. Thus, we observe that forecasting of elections
need not confine itself to “simpler” systems, say with two-parties and a single executive. As
well, Canada, Germany, Hungary, Italy, Portugal, and Spain have to their names reputable
election forecasting investigations. And, the list of nations so studied is growing. (For example,
as a result of efforts by my students from earlier classes, we have now added to the world
forecasting models from Belgium, Brazil, Turkey, Lithuania, and Norway, to mention some).
Undoubtedly, during this class, other election forecasting models will be identified for other
nations represented by students in the course.

Course leader

Michael Lewis-Beck
University of Iowa

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).


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: