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Learning the Optimal Buffer-Stock Consumption Rule of CarrollMurat YildizogluFrench National Center for Scientific Research (CNRS) - Groupe de Recherche en Économie Théorique et Appliquée (GREThA) Marc-Alexandre Senegasaffiliation not provided to SSRN Isabelle SalleFrench National Center for Scientific Research (CNRS) - Groupe de Recherche en Économie Théorique et Appliquée (GREThA) Martin ZumpeFrench National Center for Scientific Research (CNRS) - Groupe de Recherche en Économie Théorique et Appliquée (GREThA) March 10, 2012 Abstract: This article questions the rather pessimistic conclusions of Allen and Carroll (2001) about the ability of consumer to learn the optimal buffer-stock based consumption rule. To this aim, we develop an agent based model where alternative learning schemes can be compared in terms of the consumption behaviour that they yield. We show that neither purely adaptive learning, nor social learning based on imitation can ensure satisfactory consumption behaviours. By contrast, if the agents can form adaptive expectations, based on an evolving individual mental model, their behaviour becomes much more interesting in terms of its regularity, and its ability to improve performance (which is as a clear manifestation of learning). Our results indicate that assumptions on bounded rationality, and on adaptive expectations are perfectly compatible with sound and realistic economic behaviour, which, in some cases, can even converge to the optimal solution. This framework may therefore be used to develop macroeconomic models with adaptive dynamics.
Number of Pages in PDF File: 24 Keywords: Consumption decisions, Learning, Expectations, Adaptive behaviour, Computational economics JEL Classification: E21, D91, D83, D84 working papers seriesDate posted: March 12, 2012Suggested CitationContact Information
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