Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12441
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dc.contributor.authorCostantini, M-
dc.contributor.authorSen, A-
dc.date.accessioned2016-04-04T12:42:05Z-
dc.date.available2016-10-02-
dc.date.available2016-04-04T12:42:05Z-
dc.date.issued2016-
dc.identifier.citationCostantini, M. and Sen, A. (2016) 'A simple testing procedure for unit root and model specification', Computational Statistics & Data Analysis, 102, pp. 37-54. doi: https://doi.org/10.1016/j.csda.2016.04.001.en_US
dc.identifier.issn1872-7352-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/12441-
dc.description.abstract© 2016 The Authors. Tests for the joint null hypothesis of a unit root based on the components representation of a time series are developed. The proposed testing procedure is designed todetect a unit root as well as guide the practitioner regarding the specification of trend component of a time series. The limiting null distributions of the newly developed F-statistics are derived. Finite sample simulation evidence shows that the F-statistics maintain their size, and have power against the trend-break stationary alternative. The use of our methodology is illustrated through an empirical examination of the US-UK real exchange rate, the UK industrial production, and the UK CPI series.en_US
dc.format.extent37 - 54-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).-
dc.subjectunit rooten_US
dc.subjectbreak dateen_US
dc.subjecttrend breaken_US
dc.subjectlevel shiften_US
dc.subjectF-testen_US
dc.subjectmodel mis-specificationen_US
dc.titleA Simple Testing Procedure for Unit Root and Model Specificationen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.csda.2016.04.001-
dc.relation.isPartOfComputational Statistics and Data Analysis-
pubs.publication-statusPublished-
pubs.volume102-
Appears in Collections:Dept of Economics and Finance Research Papers

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