Arbeitspapier

Cycling and Categorical Learning in Decentralized Adverse Selection Economies

We study learning in a decentralized pairwise adverse selection economy, where buyers have access to the quality of traded goods but not to the quality of non- traded goods. Buyers categorize ask prices in order to predict quality as a function of ask price. The categorization is endogenously determined so that outcomes that are observed more often are categorized more finely, and within each category beliefs reflect the empirical average. This leads buyers to have a very fine understanding of the relationship between qualities and ask prices for prices below the current market price, but only a coarse understanding above that price. We find that this induces a price cycle involving the Nash equilibrium price, and one or more higher prices.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 2021:11

Klassifikation
Wirtschaft
Game Theory and Bargaining Theory: General
Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
Asymmetric and Private Information; Mechanism Design
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Thema
Adverse selection
Bounded rationality
Categorization
Learning
Model misspecification
OTC markets

Ereignis
Geistige Schöpfung
(wer)
Jehiel, Philippe
Mohlin, Erik
Ereignis
Veröffentlichung
(wer)
Lund University, School of Economics and Management, Department of Economics
(wo)
Lund
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Jehiel, Philippe
  • Mohlin, Erik
  • Lund University, School of Economics and Management, Department of Economics

Entstanden

  • 2021

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