Testing DSGE Models by indirect inference: a survey of recent findings
A. Patrick Minford,
Michael Wickens and
Yongdeng Xu ()
No E2018/14, Cardiff Economics Working Papers from Cardiff University, Cardiff Business School, Economics Section
We review recent findings in the application of Indirect Inference to DSGE models. We show that researchers should tailor the power of their test to the model under investigation in order to achieve a balance between high power and model tractability; this will involve choosing only a limited number of variables on whose behaviour they should focus. Also recent work reveals that it makes little difference which these variables are or how their behaviour is measured whether via A VAR, IRFs or Moments. We also review identification issues and whether alternative evaluation methods such as forecasting or Likelihood ratio tests are potentially helpful.
Keywords: Pseudo-true inference, DSGE models, Indirect Inference; Wald tests, Likelihood Ratio tests; robustness (search for similar items in EconPapers)
JEL-codes: C12 C32 C52 E1 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dge, nep-ecm, nep-knm and nep-mac
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Forthcoming in Open Economies Review
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Journal Article: Testing DSGE Models by Indirect Inference: a Survey of Recent Findings (2019)
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