Exploiting infinite variance through Dummy Variables in non-stationary autoregressions

Giuseppe Cavaliere and Iliyan Georgiev
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Iliyan Georgiev: Universidade Nova de Lisboa

No 1, Quaderni di Dipartimento from Department of Statistics, University of Bologna

Abstract: We consider estimation and testing infinite-order autoregressive models with a (near) unit root and infinite-variance innovations. We study the asymptotic properties of estimators obtained by dummying out ?large?innovations, i.e., exceeding a given threshold. These estimators reflect the common practice of dealing with large residuals by including impulse dummies in the estimated regression. Iterative versions of the dummy-variable estimator are also discussed. We provide conditions on the preliminary parameter estimator and on the threshold which ensure that (i) the dummy-based estimator is consistent at higher rates than the OLS estimator, (ii) an asymptotically normal test statistic for the unit root hypothesis can be derived, and (iii) order of magnitude gains of local power are obtained.

Keywords: Autoregressive processes; Infinite variance; Dummy variables Processi autoregressivi; Varianza infinita; Variabili dumm (search for similar items in EconPapers)
Pages: 31
Date: 2013
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Citations: View citations in EconPapers (2)

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Related works:
Journal Article: EXPLOITING INFINITE VARIANCE THROUGH DUMMY VARIABLES IN NONSTATIONARY AUTOREGRESSIONS (2013)
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