Learning, heterogeneity, and complexity in the New Keynesian model
Learning, heterogeneity, and complexity in the New Keynesian model
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新凯恩斯主义模型中的学习、异质性和复杂性
DOI:
10.1016/j.jebo.2019.07.014
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发表时间:
2019
影响因子:
2.2
通讯作者:
Calvert Jump R
中科院分区:
文献类型:
--
作者:
Calvert Jump R
Abstract We present a New Keynesian model in which a fraction n of agents are fully rational, and a fraction 1− n of agents are bounded rational. After deriving a simple reduced form, we demonstrate that the Taylor condition is sufficient for determinacy and stability, both when the proportion of fully rational agents is held fixed, and when it is allowed to vary according to reinforcement learning. However, this result relies on the absence of persistence in the monetary policy rule, and we demonstrate that the Taylor condition is not sufficient for determinacy and stability in the presence of interest rate smoothing. For monetary policy rules that imply indeterminacy, we demonstrate the existence of limit cycles via Hopf bifurcation, and explore a rational route to randomness numerically. Our results support the broader literature on behavioural New Keynesian models, in which the Taylor condition is known to be a useful guide to monetary policy, despite not always being sufficient for determinacy and/or stability.
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DOI:
10.1007/bfb0091914
发表时间:
1981
期刊:
J. Econ. Theory
影响因子:
--
作者:
G. Iooss;A. Arneodo;P. Coullet;C. Tresser
通讯作者:
C. Tresser
DOI:
--
发表时间:
2003
期刊:
影响因子:
--
作者:
M. Woodford
通讯作者:
M. Woodford
DOI:
--
发表时间:
2006
期刊:
影响因子:
--
作者:
M. Pesaran;M. Weale
通讯作者:
M. Weale
DOI:
10.2139/ssrn.2634053
发表时间:
2015
期刊:
Capital Markets: Asset Pricing & Valuation eJournal
影响因子:
--
作者:
Klaus Adam;A. Marcet;Johannes Beutel
通讯作者:
Johannes Beutel
影响因子:
4.5
作者:
T. Lubik;Massimiliano Marzo
通讯作者:
Massimiliano Marzo