euandi2019: Project Description and Datasets Documentation

52 Pages Posted: 4 Sep 2019

See all articles by Elie Michel

Elie Michel

University of Lucerne

Lorenzo Cicchi

European University Institute - Robert Schuman Centre for Advanced Studies (RSCAS)

Diego Garzia

University of Lausanne

Frederico Ferreira Da Silva

University of Lucerne

Alexander Trechsel

University of Lucerne

Date Written: August 2019

Abstract

In occasion of the European Parliament elections of 2019, the EUI in collaboration with the University of Lucerne in Switzerland launched euandi2019 (reads: EU and I). The academic relevance of the euandi2019 endeavour lies primarily in its choice to stick to the party positioning methodology already employed by the EU Profiler in 2009 and by euandi2014, as well as in the choice to keep as many policy items as possible in the 2019 questionnaire in order to allow cross-national, longitudinal research on party competition and voting behaviour in the EU across a ten-year period. In this paper, we present the euandi2019 project in a nutshell, the making of the questionnaire and the way in which political parties have been coded. Then, we illustrate the functioning of the application and the specifics of the resulting user dataset, comprising the opinions of over 1.2 million users that completed the euandi2019 questionnaire during the four weeks preceding the EP elections.

Keywords: European elections, party placement, Voting Advice Applications

Suggested Citation

Michel, Elie and Cicchi, Lorenzo and Garzia, Diego and Ferreira Da Silva, Frederico and Trechsel, Alexander, euandi2019: Project Description and Datasets Documentation (August 2019). Robert Schuman Centre for Advanced Studies Research Paper No. RSCAS 2019/61. Available at SSRN: https://ssrn.com/abstract=3446677 or http://dx.doi.org/10.2139/ssrn.3446677

Elie Michel (Contact Author)

University of Lucerne ( email )

Hofstrasse 9
P.O. Box 7464
Luzern 7, CH - 6000
Switzerland

Lorenzo Cicchi

European University Institute - Robert Schuman Centre for Advanced Studies (RSCAS) ( email )

Villa La Fonte, via delle Fontanelle 18
50016 San Domenico di Fiesole
Florence, Florence 50014
Italy

Diego Garzia

University of Lausanne ( email )

Quartier Chambronne
Lausanne, Vaud CH-1015
Switzerland

Frederico Ferreira Da Silva

University of Lucerne ( email )

Hofstrasse 9
P.O. Box 7464
Luzern 7, CH - 6000
Switzerland

Alexander Trechsel

University of Lucerne ( email )

Hofstrasse 9
P.O. Box 7464
Luzern 7, CH - 6000
Switzerland

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
10
Abstract Views
121
PlumX Metrics