Emilio Barucci () (Dipartimento di Statistica e Matematica Applicata all'Economia, Universit, degli studi di Pisa, Via Cosimo Ridolfi, 10, I-56124 Pisa, Italy)
Abstract
We study a class of forward looking economic models with heterogeneous agents in a bounded rationality setting. The agents employ the same recursive learning rule to update beliefs but are characterized by different memory parameters. The peculiarity of the learning mechanism is that the learning rate is not vanishing in the limit. Differently from what is obtained in the case of a vanishing learning step, i.e., the stability conditions in the heterogeneous agents case are those of the representative agent model, we show that heterogeneity matters for the expectational stability of a stationary perfect foresight equilibrium and that the stability parameter restrictions with heterogeneous agents are stronger than in the case of homogeneous agents.
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Find related papers by JEL classification: C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
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