Tackling self-selection into treatment and self-selection into the sample biases in VAA research

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Ressource 1Télécharger: BIB_5839F8BF5792.P001.pdf (215.64 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_5839F8BF5792
Type
Non publié: un document ayant un auteur et un titre, mais non publié.
Collection
Publications
Institution
Titre
Tackling self-selection into treatment and self-selection into the sample biases in VAA research
Auteur⸱e⸱s
Pianzola J., Ladner A.
Date de publication
2011
Langue
anglais
Nombre de pages
24-27
Notes
Paper presented at the 6th ECPR General Conference, University of Iceland, Reykjavik, August 25th‐27th 2011 (http://www.ecpr.eu). This conference paper was written as a part of the project IP16 "smart‐voting 2.0" (http://www.nccr‐democracy.uzh.ch/research/module5/smart‐voting/smart‐voting). IP16 belongs to the National Center of Competence in Research "Challenges to Democracy in the 21st Century" (NCCR Democracy; http://www.nccr‐democracy.uzh.ch) and is funded by the Swiss National Science Foundationn (SNSF)
Résumé
Self‐selection into treatment and self‐selection into the sample are major concerns of VAA research and need to be controlled for if the aim is to deduce causal effects from VAA use in observational data. This paper focuses on the methodological aspects of VAA research and outlines omnipresent endogeneity issues, partly imposed through unobserved factors that affect both whether individuals chose to use VAAs and their electoral behavior. We
promote using Heckman selection models and apply various versions of the model to data from the Swiss electorate and smartvote users in order to see to what extent selection biases interfere with the estimated effects of interest.
Création de la notice
05/03/2014 11:53
Dernière modification de la notice
20/08/2019 15:12
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