File(s) under permanent embargo
Heteroscedasticity robust panel unit root tests
This article proposes new unit root tests for panels where the errors may be not only serial and/or crosscorrelated, but also unconditionally heteroscedastic. Despite their generality, the test statistics are shown to
be very simple to implement, requiring only minimal corrections and still the limiting distributions under the null hypothesis are completely free from nuisance parameters. Monte Carlo evidence is also provided
to suggest that the new tests perform well in small samples, also when compared to some of the existing tests. Supplementary materials for this article are available online.
be very simple to implement, requiring only minimal corrections and still the limiting distributions under the null hypothesis are completely free from nuisance parameters. Monte Carlo evidence is also provided
to suggest that the new tests perform well in small samples, also when compared to some of the existing tests. Supplementary materials for this article are available online.
History
Journal
Journal of business & economic statisticsVolume
32Issue
1Pagination
112 - 135Publisher
Taylor and FrancisLocation
Abingdon, Eng.Publisher DOI
ISSN
0735-0015eISSN
1537-2707Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2014, American Statistical AssociationUsage metrics
Categories
Keywords
common factorscross-section dependenceGARCHpanel dataunconditional heteroscedasticitySocial SciencesScience & TechnologyPhysical SciencesEconomicsSocial Sciences, Mathematical MethodsStatistics & ProbabilityBusiness & EconomicsMathematical Methods In Social SciencesMathematicsMODELSVOLATILITYSELECTIONSTATIONARITYBREAKSEconomics