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Testing a DSGE Model of the EU Using Indirect Inference Author info | Abstract | Publisher info | Download info | Related research | Statistics Meenagh, David
Minford, Patrick
Wickens, Michael R
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We use the method of indirect inference, using the bootstrap, to test the Smets and Wouters model of the EU against a VAR auxiliary equation describing their data; the test is based on the Wald statistic. We find that their model generates excessive variance compared with the data. But their model passes the Wald test easily if the errors have the properties assumed by SW but scaled down. We compare a New Classical version of the model which also passes the test easily if error properties are chosen using New Classical priors (notably excluding shocks to preferences). Both versions have (different) difficulties fitting the data if the actual error properties are used.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
6838.
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Date of creation: Jun 2008Date of revision:
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Keywords: Bootstrap ; DSGE Model ; Indirect inference ; Model of EU ; VAR model ; Wald statistic ; Other versions of this item:
Article Paper Meenagh, David & Minford, Patrick & Wickens, Michael, 2008.
"Testing a DSGE model of the EU using indirect inference ,"
Cardiff Economics Working Papers
E2008/11, Cardiff University, Cardiff Business School, Economics Section, revised Dec 2008.
[Downloadable!] David Meenagh & Patrick Minford & Michael Wickensy, 2007.
" Testing a DSGE model of the EU using indirect inference ,"
CDMA Conference Paper Series
0709, Centre for Dynamic Macroeconomic Analysis, revised Mar 2008.
[Downloadable!] David Meenagh & Patrick Minford & Michael Wickens, 2008.
" Testing a DSGE model of the EU using indirect inference ,"
CDMA Conference Paper Series
0801, Centre for Dynamic Macroeconomic Analysis.
[Downloadable!] Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
This paper has been announced in the following NEP Reports :
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