Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/109073 
Erscheinungsjahr: 
2015
Schriftenreihe/Nr.: 
Cardiff Economics Working Papers No. E2015/2
Verlag: 
Cardiff University, Cardiff Business School, Cardiff
Zusammenfassung: 
Using Monte Carlo experiments, we examine the performance of indirect inference tests of DSGE models in small samples, using various models in widespread use. We compare these with tests based on direct inference (using the Likelihood Ratio). We find that both tests have power so that a substantially false model will tend to be rejected by both; but that the power of the indirect inference test is by far the greater, necessitating re-estimation to ensure that the model is tested in its fullest sense. We also find that the small-sample bias with indirect estimation is around half of that with maximum likelihood estimation.
Schlagwörter: 
Bootstrap
DSGE
Indirect Inference
Likelihood Ratio
New Classical
New Keynesian
Wald statistic
JEL: 
C12
C32
C52
E1
Dokumentart: 
Working Paper

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