责备
政府(语言学)
政治
投票
归属
政治学
启发式
公共关系
测量数据收集
公共行政
社会心理学
心理学
法学
哲学
操作系统
统计
语言学
计算机科学
数学
作者
Neil Malhotra,Alexander Kuo
标识
DOI:10.1017/s0022381607080097
摘要
When government fails, whom do citizens blame? Do these assessments rely on biased or content-rich information? Despite the vast literatures on retrospective voting in political science and attribution in psychology, there exists little theory and evidence on how citizens apportion blame among public officials in the wake of government failure. We designed a survey experiment in which respondents ranked seven public officials in order of how much they should be blamed for the property damage and loss of life in New Orleans after Hurricane Katrina. We manipulated the information provided to respondents, with some receiving the officials’ party affiliations, others receiving their job titles, and others receiving both cues. We find that party cues cause individuals to blame officials of the opposite party, but citizens make more principled judgments when provided with information about officials’ responsibilities. These results have implications for our understanding of the impact of heuristics and information on retrospective evaluations of government performance.
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