Are voters' views about proportional outcomes shaped by partisan preferences? A survey experiment in the context of a real election

André Blais, Semra Sevi and Carolina Plescia

Political Science Research and Methods, 2022, vol. 10, issue 2, 445-451

Abstract: We examine citizens' evaluations of majoritarian and proportional electoral outcomes through an innovative experimental design. We ask respondents to react to six possible electoral outcomes during the 2019 Canadian federal election campaign. There are two treatments: the performance of the party and the proportionality of electoral outcomes. There are three performance conditions: the preferred party's vote share corresponds to vote intentions as reported in the polls at the time of the survey (the reference), or it gets 6 percentage points more (fewer) votes. There are two electoral outcome conditions: disproportional and proportional. We find that proportional outcomes are slightly preferred and that these preferences are partly conditional on partisan considerations. In the end, however, people focus on the ultimate outcome, that is, who is likely to form the government. People are happy when their party has a plurality of seats and is therefore likely to form the government, and relatively unhappy otherwise. We end with a discussion of the merits and limits of our research design.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:pscirm:v:10:y:2022:i:2:p:445-451_15

Access Statistics for this article

More articles in Political Science Research and Methods from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().