This paper presents the asymptotic and finite sample properties of the Efficient Method of Moments (EMM) and Indirect Inference (II), when applied to estimating stationary ARMA models. Issues such as identification, model selection, and testing are also discussed. The properties of these estimators are compared to those of Maximum Likelihood (ML) using Monte Carlo experiments for both invertible and non-invertible ARMA models.
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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.:
Gallant, A. Ronald & Tauchen, George, 1996.
"Which Moments to Match?,"
Econometric Theory,
Cambridge University Press, vol. 12(04), pages 657-681, October.
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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.
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Gourieroux, C. & Monfort, A. & Renault, E., 1992.
"Indirect Inference,"
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92.279, Toulouse - GREMAQ.
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