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Information disclosure and asymmetric speed of learning in booms and busts

Research output: Contribution to journalArticle

Author(s)

Francesco Palazzo, Min Zhang

School/Research organisations

Abstract

We consider a model in which agents gradually learn about the aggregate market conditions — ‘boom’ or ‘bust’ — from the information disclosed after a trading round. The disclosure rules can generate asymmetric learning and affect the degree of asymmetry. In particular, when only winning bids are publicly disclosed, learning is more rapid in a bust.
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Details

Original languageEnglish
Pages (from-to)37-40
Number of pages4
JournalEconomics Letters
Volume158
Early online date24 Jun 2017
DOIs
Publication statusPublished - Sep 2017

    Research areas

  • Asymmetric learning, Information disclosure

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