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

This paper considers GMM estimation of autoregressive processes. It is shown that, contrary to the case where the noise is independent [see Kim et al., Economics Letters 62 (1999) 265–270], using high-order moments can provide substantial efficiency gains for estimating the AR(p) model when the noise is only uncorrelated.