LEARNING THE OPTIMAL BUFFER-STOCK CONSUMPTION RULE OF CARROLL

被引:7
|
作者
Yildizoglu, Murat
Senegas, Marc-Alexandre
Salle, Isabelle
Zumpe, Martin
机构
[1] CNRS, UMR 5113, GREThA, F-75700 Paris, France
[2] Bordeaux Univ, F-33608 Pessac, France
关键词
Consumption Decisions; Learning; Expectations; Adaptive Behavior; Computational Economics;
D O I
10.1017/S1365100512000582
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article questions the rather pessimistic conclusions of Allen and Carroll [Macroeconomic Dynamics 5 (2001), 255-271] about the ability of consumers to learn the optimal buffer-stock-based consumption rule. To this end, we develop an agent-based model in which alternative learning schemes can be compared in terms of the consumption behavior that they yield. We show that neither purely adaptive learning nor social learning based on imitation can ensure satisfactory consumption behavior. In contrast, if the agents can form adaptive expectations, based on an evolving individual mental model, their behavior becomes much more interesting in terms of its regularity and its ability to improve performance (which is 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 behavior, which, in some cases, can even converge to the optimal solution. This framework may therefore be used to develop macroeconomic models with adaptive dynamics.
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页码:727 / 752
页数:26
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