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Political Science

Election Forecasting

When:

17 February - 22 February 2013

School:

ECPR Winter School in Methods & Techniques

Institution:

University of Vienna

City:

Vienna

Country:

Austria

Credits:

2 EC

Interested?
Please note: this course has already ended
Election Forecasting

About

The course provides instruction in election forecasting. The word, β€œforecasting,” 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 β€œsimpler” 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

Interested?

When:

17 February - 22 February 2013

School:

ECPR Winter School in Methods & Techniques

Institution:

University of Vienna

Credits:

2 EC

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