G2TT
来源类型Discussion paper
规范类型论文
来源IDDP11816
DP11816 Comparing different data descriptors in Indirect Inference tests on DSGE models
Patrick Minford; Michael R. Wickens
发表日期2017-01-31
出版年2017
语种英语
摘要Indirect inference testing can be carried out with a variety of auxiliary models. Asymptotically these different models make no difference. However, in small samples power can differ. We explore small sample power with three different auxiliary models: a VAR, average Impulse Response Functions and Moments. The latter corresponds to the Simulated Moments Method. We find that in a small macro model there is no difference in power. But in a large complex macro model the power with Moments rises more slowly with increasing misspecification than with the other two which remain similar.
主题Monetary Economics and Fluctuations
关键词Dgse model Auxiliary models Simulated moments method indirect inference
URLhttps://cepr.org/publications/dp11816
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/540629
推荐引用方式
GB/T 7714
Patrick Minford,Michael R. Wickens. DP11816 Comparing different data descriptors in Indirect Inference tests on DSGE models. 2017.
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