Record Details

MEDW 2014 Belgian National Election Study

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title MEDW 2014 Belgian National Election Study
 
Identifier https://doi.org/10.7910/DVN/7GA3IT
 
Creator Bol, Damien
Beyens, Stefanie
Deschouwer, Chris
Pilet, Jean-Benoit
Verthé, Tom
Stephenson, Laura
Blais, André
 
Publisher Harvard Dataverse
 
Description This dataset was produced within the framework of the Making Electoral Democracy Work project. It contains pre-election and post-election survey data from the 2014 Belgian national, regional and European elections held jointly on May 25. Making Electoral Democracy Work (MEDW) is an international collaborative project that was conducted between 2009 and 2017 by a large team of political scientists, economists, and psychologists from Canada, Europe, and the United States. Its goal was to examine how the rules of the game (especially the electoral system) and the electoral context (especially the competitiveness and salience of the election) influence the dynamic and reciprocal relationship between voters and parties. To do so, the project gathered data for different types of elections held in Canada, France, Germany, Spain, and Switzerland between 2010 and 2016. In each country, two subnational units, typically regions, were studied. The analyses were complemented by laboratory and online experiments, as well as data on the parties’ campaigns. A selection of the project publications can be found at http://electoraldemocracy.com/publications. For more information on the project visit the project website (http://electoraldemocracy.com) or read André Blais, “Making Electoral Democracy Work,” Electoral Studies 29 (2010): 169–70.
 
Subject Social Sciences
Political Behavior
Elections
Belgium
Mass political attitudes
Voting
 
Language Dutch
English
French
 
Contributor Kostelka, Filip
 
Relation Stephenson, Laura; Blais, André; Bol, Damien; Kostelka, Filip, 2017, "Making Electoral Democracy Work", doi:10.7910/DVN/RR0NNQ, Harvard Dataverse.
 
Type Survey data