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Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression

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Author Info
Bent Nielsen () (Nuffield College, Oxford University, UK)
J. James Reade (St. Cross College, University of Oxford)

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Abstract

This paper provides a means of accurately simulating explosive autoregressive processes, and uses this method to analyse the distribution of the likelihood ratio test statistic for an explosive second order autoregressive process. Nielsen (2001) has shown that for the asymptotic distribution of the likelihood ratio unit root test statistic in a higher order autoregressive model, the assumption that the remaining roots are stationary is unnecessary, and as such the approximating asymptotic distribution for the test in the difference stationary region is valid in the explosive region also. However, simulations of statistics in the explosive region are beset by the magnitude of the numbers involved, which cause numerical inaccuracies, and this has previously constituted a bar on supporting asymptotic results by means of simulation, and analysing the finite sample properties of tests in the explosive region.

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File URL: http://www.nuff.ox.ac.uk/economics/papers/2004/w24/SimAR2.pdf
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Publisher Info
Paper provided by Economics Group, Nuffield College, University of Oxford in its series Economics Papers with number 2004-W24.

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Length: 12 pages
Date of creation: 19 Oct 2004
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Handle: RePEc:nuf:econwp:0424

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Web page: http://www.nuff.ox.ac.uk/economics/

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  1. Bent Nielsen, 1995. "Bartlett correction of the unit root test in autoregressive models," Economics Papers 11 & 98., Economics Group, Nuffield College, University of Oxford. [Downloadable!]
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  2. Nielsen, Bent, 2001. "The Asymptotic Distribution of Unit Root Tests of Unstable Autoregressive Processes," Econometrica, Econometric Society, vol. 69(1), pages 211-19, January.
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