Testing stability in a spatial unilateral autoregressive model

preprint2012arXivOpen access

Abstract

Least squares estimator of the stability parameter ϱ:=∣α∣+∣β∣\varrho := |α| + |β| for a spatial unilateral autoregressive process Xk,ℓ=αXk−1,ℓ+βXk,ℓ−1+εk,ℓX_{k,\ell}=αX_{k-1,\ell}+βX_{k,\ell-1}+\varepsilon_{k,\ell} is investigated. Asymptotic normality with a scaling factor n5/4n^{5/4} is shown in the unstable case, i.e., when ϱ=1\varrho = 1, in contrast to the AR(p) model Xk=α1Xk−1+...+αpXk−p+εkX_k=α_1 X_{k-1}+... +α_p X_{k-p}+ \varepsilon_k, where the least squares estimator of the stability parameter ϱ:=α1+...+αp\varrho :=α_1 + ... + α_p is not asymptotically normal in the unstable, i.e., in the unit root case.

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