G2TT
来源类型Discussion paper
规范类型论文
来源IDDP8917
DP8917 Bayesian Model Averaging, Learning and Model Selection
Seppo Honkapohja; Thomas Sargent; George W. Evans; Noah Williams
发表日期2012-03-01
出版年2012
语种英语
摘要Agents have two forecasting models, one consistent with the unique rational expectations equilibrium, another that assumes a time-varying parameter structure. When agents use Bayesian updating to choose between models in a self-referential system, we find that learning dynamics lead to selection of one of the two models. However, there are parameter regions for which the non-rational forecasting model is selected in the long-run. A key structural parameter governing outcomes measures the degree of expectations feedback in Muth's model of price determination.
主题International Macroeconomics
关键词Grain of truth Rational expectations equilibrium Time-varying perceptions
URLhttps://cepr.org/publications/dp8917
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/537747
推荐引用方式
GB/T 7714
Seppo Honkapohja,Thomas Sargent,George W. Evans,et al. DP8917 Bayesian Model Averaging, Learning and Model Selection. 2012.
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