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dc.contributor.authorPauwels, L.
dc.contributor.authorChan, Felix
dc.contributor.authorMancini Griffoli, T.
dc.date.accessioned2017-01-30T10:25:14Z
dc.date.available2017-01-30T10:25:14Z
dc.date.created2013-02-28T20:00:35Z
dc.date.issued2012
dc.identifier.citationPauwels, Laurent L. and Chan, Felix and Mancini Griffoli, Tommaso. 2012. Testing for structural change in heterogeneous panels with an application to the Euro’s trade effect. Journal of Time Series Econometrics. 4 (2): pp. 1-33.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/2697
dc.identifier.doi10.1515/1941-1928.1141
dc.description.abstract

This paper presents a structural change test for panel data models in which the break (or the change) affects some, but not all, cross-section units in the panel. The test is robust to non-normal, heteroskedastic and autocorrelated errors, as well as end-of-sample structural change. The test amounts to computing and comparing pre- and post-break sample statistics as Chow (1960) type F statistics averaged over cross-section units. The cases of known and unknown break date are both considered. Under mild assumptions, the test has a limiting standard normal distribution as the number of cross-sections tends to infinity. Monte Carlo experiments show that the test has good size and power under a wide range of circumstances, including when the break date is unknown and differs across individual units, and when errors exhibit cross-section dependence. Finally, the test is illustrated by seeking a break in the dynamics of trade among euro area countries following the introduction of the euro.

dc.publisherWalter de Gruyter GmbH & Co. KG
dc.subjecteuro effect on trade
dc.subjectparameter stability
dc.subjectcommon correlated effects
dc.subjectcross-section dependence
dc.subjectstructural break
dc.subjectgravity model
dc.titleTesting for structural change in heterogeneous panels with an application to the Euro’s trade effect
dc.typeJournal Article
dcterms.source.volume4
dcterms.source.number2
dcterms.source.startPage1
dcterms.source.endPage33
dcterms.source.issn2194-6507
dcterms.source.titleJournal of Time Series Econometrics
curtin.department
curtin.accessStatusOpen access


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