This paper discusses ways to reduce the bias of consistent estimators that are biased in finite samples. It is necessary only that the bias function, which relates parameter values to bias, should be estimable by computer simulation or by some other method. If so, bias can be reduced or even eliminated. Unfortunately, reducing bias may increase the variance of an estimator.
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Paper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number
96a14.
Length: 28 pages Date of creation: 1996 Date of revision: Handle: RePEc:fth:aixmeq:96a14
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Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Other
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Gourieroux, C & Monfort, A & Renault, E, 1993.
"Indirect Inference,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 8(S), pages S85-118, Suppl. De.
[Downloadable!] (restricted)
Other versions:
Gourieroux, C. & Monfort, A. & Renault, E., 1992.
"Indirect Inference,"
Papers
92.279, Toulouse - GREMAQ.
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