Constructing Optimal tests on a Lagged dependent variable
AbstractVia the leading unit-root case, the problem of testing on a lagged dependent variable is characterized by a nuisance parameter which is present only under the alternative [see Andrews and Ploberger, Econometrica (1994) Vol. 62, pp. 1318-1414]. This has proven to be a barrier to the construction of optimal tests. Moreover, in their absence it is impossible to objectively assess the absolute power properties of existing tests. Indeed, feasible tests based upon the optimality criteria used here are found to have numerically superior power properties to both the original Dickey and Fuller [Econometrica (1981) Vol. 49, pp. 1057-1072] statistics and the efficient detrended versions suggested by Elliott et�al. [Econometrica (1996) Vol. 64, pp. 813-836] and analysed in Burridge and Taylor [Oxford Bulletin of Economics and Statistics (2000) Vol. 62, pp. 633-645]. Copyright 2007 The Author Journal compilation 2007 Blackwell Publishing Ltd.
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Journal of Time Series Analysis.
Volume (Year): 28 (2007)
Issue (Month): 5 (09)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0143-9782
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- Battey, Heather & Linton, Oliver, 2014.
"Nonparametric estimation of multivariate elliptic densities via finite mixture sieves,"
Journal of Multivariate Analysis,
Elsevier, vol. 123(C), pages 43-67.
- Heather Battey & Oliver Linton, 2013. "Nonparametric estimation of multivariate elliptic densities via finite mixture sieves," CeMMAP working papers CWP41/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Heather Battey & Oliver Linton, 2013. "Nonparametric estimation of multivariate elliptic densities via finite mixture sieves," CeMMAP working papers CWP15/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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