Tackling self-selection into treatment and self-selection into the sample biases in VAA research
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State: Public
Version: author
Serval ID
serval:BIB_5839F8BF5792
Type
Unpublished: a document having an author and title, but not formally published.
Collection
Publications
Institution
Title
Tackling self-selection into treatment and self-selection into the sample biases in VAA research
Issued date
2011
Language
english
Number of 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)
Abstract
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.
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.
Create date
05/03/2014 11:53
Last modification date
20/08/2019 15:12
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