Second Order Expansions for the Distribution of the Maximum Likelihood Estimator of the Fractional Difference Parameter
The maximum likelihood estimator (MLE) of the fractional diﬀerence parameter in the Gaussian ARFIMA(0, d ,0) model is well known to be asymptotically N (0, 6/ π 2 ). This paper develops a second order asymptotic expansion to the distribution of this statistic. The correction term for the density is shown to be independent of d , so that the MLE is second order pivotal for d . This feature of the MLE is unusual, at least in time series contexts. Simulations show that the normal approximation is poor and that the expansions make signiﬁcant improvements in accuracy.
Lieberman, Offer and Phillips, Peter C.B., "Second Order Expansions for the Distribution of the Maximum Likelihood Estimator of the Fractional Difference Parameter" (2001). Cowles Foundation Discussion Papers. 1567.