Asymptotic behavior of CLS estimators for unstable INAR(2) models

preprint2013arXivOpen access

Abstract

In this paper the asymptotic behavior of the conditional least squares estimators of the autoregressive parameters (α,β)(α,β), of the stability parameter ϱ:=α+β\varrho := α+ β, and of the mean μμ of the innovation $\vare_k$, $k \in \NN$, for an unstable integer-valued autoregressive process $X_k = α\circ X_{k-1} + β\circ X_{k-2} + \vare_k$, $k \in \NN$, is described. The limit distributions and the scaling factors are different according to the following three cases: (i) decomposable, (ii) indecomposable but not positively regular, and (iii) positively regular models.

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