Interpreted and generated signals
成果类型:
Article
署名作者:
Hong, Lu; Page, Scott
署名单位:
Loyola University Chicago; University of Michigan System; University of Michigan
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2009.01.006
发表日期:
2009
页码:
2174-2196
关键词:
private information
signals
Interpretations
Attributes
INDEPENDENCE
correlation
摘要:
Private information is typically modeled as signals. A joint probability distribution captures relationships between signals and between signals and relevant variables. In this paper, we define and contrast two types of signals: generated and interpreted. We demonstrate that even though the standard assumption of conditional independence is a reasonable benchmark assumption for generated signals, it imposes a specific, and unlikely structure on interpreted signals. We also show that independent interpreted signals are negatively correlated in their correctness, but generated signals can be independent. Our findings may limit the contexts in which many models of information aggregation and strategic choices in auctions, markets, and voting apply. (C) 2009 Elsevier Inc. All rights reserved.
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