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Asymptotics of an Explosive Autoregression under Dependence

Kasper Sunn Blumensaat

arXiv 8 Jun 2026 · Econometrics

arXiv:2606.09531 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We generalize the convergence results of an explosive autoregression, pioneered in Anderson (1959), in three ways: First, we demonstrate that the centered least-squares estimator converges geometrically to a ratio of limits, even in settings where the innovations are correlated and not centered around zero. Secondly, we demonstrate that the requirement of independent innovations in Anderson (1959), Theorem 2.3, can be relaxed to $α$-mixing. Third, we provide an autocorrelation-robust feasible test statistic for the explosive parameter under Gaussian ARMA innovations.

Citation extraction

17
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Anderson, T (1959) On asymptotic distributions of estimates of parameters of stochastic difference equations0.92820680%
2B. Nielsen (2005) Strong consistency results for least squares estimators in general vector autoregressions with deterministic terms0.92843100%
3T.L. Lai and C.Z. Wei (1983) Asymptotic properties of general autoregressive models and strong consistency of least-squares estimates of their parameters0.64422100%
4T.L. Lai and C.Z. Wei (1985) Asymptotic properties of multivariate weighted sums with applications to stochastic regression in linear dynamic systems0.64422100%
5Billingsley, P (1979) Probability and Measure0.5112250%
6Breiman, L (1968) Probability.0.5112250%
7Doukhan, P (1994) Mixing: Properties and Examples0.5112250%
8Fuller, W.A. and Hasza, D.P. and Goebel, J.J (1981) Estimation of the parameters of stochastic difference equations0.40511100%
9P. Jeganathan (1988) On the strong approximation of the distributions of estimators in linear stochastic models, I and II: Stationary and explosive A…0.40511100%
10B. Nielsen (2010) Analysis of coexplosive processes0.40511100%

Showing the top 10 of 17 scored citations.