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Testing for stochastic unit roots - Some Monte Carlo evidence Author info | Abstract | Publisher info | Download info | Related research | Statistics A.M.R. Taylor ()
D.J.C. van Dijk () (FEW-Econometrie en besliskunde)
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This paper considers the properties of the tests of the null hypothesis of a random walk against the alternative of a stochastic unit root when the data are generated by a process related to, but not exactly equal to, the processes under the null and alternative. The extensive Monte Carlo experiments demonstrate that the test statistics are particularly sensitive to non-stationary RCAR processes with mean root less than unity, random walk processes with structural change in the variance, processes with changing persistence and trend-stationary processes with a break in the trend.
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Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number
149.
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Date of creation: 1999Date of revision:
Handle: RePEc:dgr:eureir:1999149Contact details of provider: Web page: http://www.few.eur.nl/few
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Keywords: random walk stochastic unit root monte carlo ; Other versions of this item:
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Hoek, Henk & Lucas, Andre & van Dijk, Herman K., 1995.
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Ivan Paya & David A. Peel, 2005.
"The process followed by PPP data. On the properties of linearity tests ,"
Applied Economics ,
Taylor and Francis Journals, vol. 37(21), pages 2515-2522, December.
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