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We develop a small‐sample criterion (AIC C ) for the selection of the order of vector autoregressive models. AIC C is an approximately unbiased estimator of the expected Kullback‐Leibler information. Furthermore, AIC C provides better model order choices than the Akaike information criterion in small samples.
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Hurvich et al. (1993) studied this question.
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