Modeling expectations in agent-based models - An application to central bank's communication and monetary policy

被引:26
作者
Salle, Isabelle L. [1 ,2 ,3 ]
机构
[1] Amsterdam Sch Econ, CeNDEF, NL-1018 XE Amsterdam, Netherlands
[2] Tinbergen Inst, Amsterdam, Netherlands
[3] Univ Bordeaux, GREThA, Talence, France
关键词
Expectations; Agent-based modeling; Neural networks; Communication; Monetary policy; NEURAL-NETWORKS; HETEROGENEOUS EXPECTATIONS; RATIONAL-EXPECTATIONS; BOUNDED RATIONALITY; MACROECONOMIC MODEL;
D O I
10.1016/j.econmod.2014.12.040
中图分类号
F [经济];
学科分类号
02 ;
摘要
Expectations play a major role in macroeconomic dynamics, especially regarding the conduct of monetary policy. Yet, modeling the interplay between communication, expectations and aggregate outcomes remains a challenging task, mainly because this requires deviation from the paradigm of rational expectations and perfect information. While agent-based macro models allow for such a deviation, their representation of expectations dynamics often remains simplistic. This paper introduces an expectation formation model which allows us to integrate a wide range of information disclosed by central banks. This expectation model is then integrated to the macroeconomic ABM developed in Salle et al. 2013 - [Economic Modelling, 2013, 34, 114-1281, and yields aggregate results strongly in line with empirical evidence. In particular, we find that i) opacity is always sub-optimal, giving rise to the so-called opacity bias, ii) communication loosens the trade-off between the two objectives of monetary policy, and iii) forward guidance acts as a partial substitute for policy actions, and softens the optimal policy responses. This expectation model appears therefore promising to develop macroeconomic agent-based models. (c) 2015 Elsevier B.V. All rights reserved.
引用
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页码:130 / 141
页数:12
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