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Economic Inquiry
Article
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Economic Inquiry
Article . 2014 . Peer-reviewed
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HKU Scholars Hub
Article . 2014
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SIGNAL EXTRACTION AND RATIONAL INATTENTION

Authors: Young, E; Luo, Y;

SIGNAL EXTRACTION AND RATIONAL INATTENTION

Abstract

In this paper we examine the implications of two theories of informational frictions, signal extraction (SE) and rational inattention (RI), for optimal decisions and economic dynamics within the linear‐quadratic‐Gaussian (LQG) setting. We first show that if the variance of the noise and channel capacity (or marginal information cost) is fixed exogenously in the SE and RI problems, respectively, the two environments lead to different policy and equilibrium asset pricing implications. Second, we find that if the signal‐to‐noise ratio and capacity in the SE and RI problems are fixed, respectively, the two theories generate the same policy implications in the univariate case, but different policy implications in the multivariate case. We also show that our results do not depend on the presence of correlation between fundamental and noise shocks. We then discuss the applications to macroeconomic models of permanent income and price‐setting. (JEL C61, D81, E21)

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China (People's Republic of)
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
Green
hybrid