Article ID Journal Published Year Pages File Type
5129927 Statistics & Probability Letters 2017 7 Pages PDF
Abstract

We are occupied with the limit theory of the OLSE and of a subsequent Dickey-Fuller test when the unit root process has heavy tailed and dependent innovations that do not possess moments of order α for some α∈0,2. The innovation process has the form of a “martingale-type” transform constructed as a pointwise product between an iid sequence in the domain of attraction of an α stable distribution with a non existing α moment, for some α∈0,2, and a positive scaling mixing sequence that has a slowly varying at infinity truncated α moment. We derive a functional limit theorem with complex rates and limits that depend on Levy α-stable processes. The OLSE remains superconsistent with rate n, and the limiting distribution is a functional of the previous process. When α=2 we recover the standard Dickey-Fuller distribution.

Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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