Partisan Bias in Blame Attribution: When Does it Occur?
Andrew Healy,
Alexander G. Kuo and
Neil Malhotra
Journal of Experimental Political Science, 2014, vol. 1, issue 2, 144-158
Abstract:
How do citizens attribute blame in the wake of government failure? Does partisanship bias these attributions? While partisan cues may serve as useful guides when citizens are evaluating public policies, those cues are likely to be less informative and more distortionary when evaluating government performance regarding a crisis. We address these questions by examining blame attributions to government appointees for the 9/11 terrorist attacks. We implement an experimental design in a nationally representative survey that builds on previous work in two ways: (1) we manipulate party labels for the same officials in a real-world setting by considering appointees who were nominated at different times by presidents of different parties; and (2) we examine how domain relevance moderates partisan bias. We find that partisan bias in attributions is strongest when officials are domain relevant, a finding that has troubling implications for representative democracy.
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (4)
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:jexpos:v:1:y:2014:i:02:p:144-158_00
Access Statistics for this article
More articles in Journal of Experimental Political Science from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().