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A simple test for cointegration in dependent panels with structural breaks
journal contributionposted on 2008-10-01, 00:00 authored by Joakim WesterlundJoakim Westerlund, D L Edgerton
This paper develops a very simple test for the null hypothesis of no cointegration in panel data. The test is general enough to allow for heteroskedastic and serially correlated errors, unit-specific time trends, cross-sectional dependence and unknown structural breaks in both the intercept and slope of the cointegrated regression, which may be located at different dates for different units. The limiting distribution of the test is derived, and is found to be normal and free of nuisance parameters under the null. A small simulation study is also conducted to investigate the small-sample properties of the test. In our empirical application, we provide new evidence concerning the purchasing power parity hypothesis. © Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2008.
JournalOxford bulletin of economics and statistics
Pagination665 - 704
Copyright notice2008, Wiley
Social SciencesScience & TechnologyPhysical SciencesEconomicsSocial Sciences, Mathematical MethodsStatistics & ProbabilityBusiness & EconomicsMathematical Methods In Social SciencesMathematicsPURCHASING POWER PARITYUNIT ROOTSMODELSC12C32C33Panel CointegrationCointegration TestStructural BreakCross-Sectional DependenceCommon FactorEconomics