Arbeitspapier

Behavioral Learning Equilibria

We propose behavioral learning equilibria as a plausible explanation of coordination of individual expectations and aggregate phenomena such as excess volatility in stock prices and high persistence in inflation. Boundedly rational agents use a simple univariate linear forecasting rule and correctly forecast the unconditional sample mean and first-order sample autocorrelation. In the long run, agents learn the best univariate linear forecasting rule, without fully recognizing the structure of the economy. The simplicity of behavioral learning equilibria makes coordination of individual expectations on such an aggregate outcome more likely. In a first application, an asset pricing model with AR(1) dividends, a unique behavioral learning equilibrium exists characterized by high persistence and excess volatility, and it is stable under learning. In a second application, the New Keynesian Phillips curve, multiple equilibria co-exist, learning exhibits path dep endence and inflation may switch between low and high persistence regimes.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 13-014/II

Klassifikation
Wirtschaft
Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
Existence and Stability Conditions of Equilibrium
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Expectations; Speculations
Thema
Bounded rationality
Stochastic consistent expectations equilibrium
Adaptive learning
Excess volatility
Inflation persistence

Ereignis
Geistige Schöpfung
(wer)
Hommes, Cars
Zhu, Mei
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:45 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

  • Hommes, Cars
  • Zhu, Mei
  • Tinbergen Institute

Entstanden

  • 2013

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