Policy predictions if the model does not fit
成果类型:
Article; Proceedings Paper
署名作者:
Del Negro, M; Schorfheide, F
署名单位:
Federal Reserve System - USA; Federal Reserve Bank - Atlanta; University of Pennsylvania
刊物名称:
JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION
ISSN/ISSBN:
1542-4766
DOI:
10.1162/1542476054472928
发表日期:
2005
页码:
434-443
关键词:
uncertainty
priors
摘要:
This paper uses a novel method for conducting policy analysis with potentially misspecified DSGE models and applies it to a simple New Keynesian DSGE model. We illustrate the sensitivity of the results to assumptions on the policy invariance of model misspecifications.
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