2016
DOI: 10.1093/jopart/muw060
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How Do Politicians Attribute Bureaucratic Responsibility for Performance? Negativity Bias and Interest Group Advocacy

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Cited by 96 publications
(149 citation statements)
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“…Finally, proposals for school closures trigger intense media disputes and opposition from local communities during the preparation of the municipal budget . Exploiting insights from recent work on negativity bias in citizens' and politicians' perceptions of performance (Nielsen and Moynihan ; Olsen ), we maintain that performance information is particularly likely to affect politicians' preferences for reforms involving greater political risks (such as the risk of losing key supporters). The reason is that politically costly reforms require a stronger defense from politicians, and performance information can help provide the necessary justification (Asatryan, Heinemann, and Pitlik ; Johnsen ).…”
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confidence: 70%
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“…Finally, proposals for school closures trigger intense media disputes and opposition from local communities during the preparation of the municipal budget . Exploiting insights from recent work on negativity bias in citizens' and politicians' perceptions of performance (Nielsen and Moynihan ; Olsen ), we maintain that performance information is particularly likely to affect politicians' preferences for reforms involving greater political risks (such as the risk of losing key supporters). The reason is that politically costly reforms require a stronger defense from politicians, and performance information can help provide the necessary justification (Asatryan, Heinemann, and Pitlik ; Johnsen ).…”
mentioning
confidence: 70%
“…For ease of comparison across municipalities, we calculate municipality‐level percentage deviations from the national average. Similar measures of relative performance have been used in comparable contexts by, for instance, Charbonneau and Van Ryzin (), Nielsen and Baekgaard (), Barrows et al (), Olsen (), and Nielsen and Moynihan (). These percentage deviations are measured as MD k = [( M k – 50) * 100]/50, ED k = [( E k – 50) * 100]/50, and RD k = [( R k – 50) * 100]/50 (where M k , E k , and D k reflect the average scores for the three test subjects across all pupils in municipality k ).…”
Section: Methodsmentioning
confidence: 96%
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