COWLES FOUNDATION FOR RESEARCH IN ECONOMICS
AT YALE UNIVERSITY

Box 208281
New Haven, CT 06520-8281

Lux et veritas

COWLES FOUNDATION DISCUSSION PAPER NO. 1474

Expansions for Approximate Maximum Likelihood Estimators
of the Fractional Difference Parameter

Offer Lieberman and Peter C.B. Phillips

July 2004

This paper derives second-order expansions for the distributions of the Whittle and profile plug-in maximum likelihood estimators of the fractional difference parameter in the ARFIMA(0,d,0) with unknown mean and variance. Both estimators are shown to be second-order pivotal. This extends earlier findings of Lieberman and Phillips (2001), who derived expansions for the Gaussian maximum likelihood estimator under the assumption that the mean and variance are known. One implication of the results is that the parametric bootstrap upper one-sided confidence interval provides an o(n-1ln n) improvement over the delta method. For statistics that are not second-order pivotal, the improvement is generally only of the order o(n-1/2ln n).

Keywords: ARFIMA; Bootstrap; Edgeworth expansion; Fractional differencing; Pivotal statistic

JEL Classification: C13, C22