Non redundancy of high order moment conditions for efficient GMM estimation of weak AR processes

Broze, Laurence;Francq, Christian;Zakoian, Jean-Michel
(2000)

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Abstract
This paper considers GMM estimation of autoregressive processes. It is shown that, contrary to the case where the noise is independent (see Kim, Qian and Schmidt (1999)), using high-order moments can provide substantial efficiency gains for estimating the AR(p) model when the noise is only uncorrelated.
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Broze, L., Francq, C., & Zakoian, J.-M. (2000). Non redundancy of high order moment conditions for efficient GMM estimation of weak AR processes (CORE Discussion Papers 2000/33). https://hdl.handle.net/2078.5/35524