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Random Errors, Dirty Information, and Politics

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Author Info
Eichenberger, Reiner
Serna, Angel

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Abstract

Rational voters' assessments of candidates and policy proposals are unbiased but affected by random errors. 'Clean' information decreases these errors, while 'dirty' information increases them. In politics, most voting procedures weigh random individual errors asymmetrically. Thus, such errors do not counterbalance one another in the aggregate. They systematically affect politics. This illuminates the roles of political propaganda and interest groups. It helps to explain various puzzles in public choice, e.g., the frequent use of inefficient policy instruments. Institutional conditions are identified that shape the aggregate impact of individual errors and the politicians' incentives to produce dirty information. Copyright 1996 by Kluwer Academic Publishers

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Publisher Info
Article provided by Springer in its journal Public Choice.

Volume (Year): 86 (1996)
Issue (Month): 1-2 (January)
Pages: 137-56
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Handle: RePEc:kap:pubcho:v:86:y:1996:i:1-2:p:137-56

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Web page: http://www.springerlink.com/link.asp?id=100332

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  1. Bryan Caplan, 2002. "Systematically Biased Beliefs About Economics: Robust Evidence of Judgemental Anomalies from the Survey of Americans and Economists on the Economy," Economic Journal, Royal Economic Society, vol. 112(479), pages 433-458, April. [Downloadable!] (restricted)
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This page was last updated on 2009-11-25.


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