2021
DOI: 10.1016/j.ecosta.2020.05.002
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A panel cointegrating rank test with structural breaks and cross-sectional dependence

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Cited by 5 publications
(2 citation statements)
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“…In the macroeconomic panel data, due to identical impacts or spillover effects, cross-sectional dependence would arise, and for which if not accounted for, biased estimated results may be obtained [ 72 ]. Therefore, since the early 2000s, aiming to analyze the existence or otherwise of long-run stationary relationships among integrated economic variables, several kinds of panel cointegration test methods have been developed [ 73 ], such as the Pedroni (Engle-Granger Based) cointegration test [ 74 , 75 ], the Kao (Engle–Granger Based) cointegration test [ 76 ], and combined individual tests [ 77 ].…”
Section: Resultsmentioning
confidence: 99%
“…In the macroeconomic panel data, due to identical impacts or spillover effects, cross-sectional dependence would arise, and for which if not accounted for, biased estimated results may be obtained [ 72 ]. Therefore, since the early 2000s, aiming to analyze the existence or otherwise of long-run stationary relationships among integrated economic variables, several kinds of panel cointegration test methods have been developed [ 73 ], such as the Pedroni (Engle-Granger Based) cointegration test [ 74 , 75 ], the Kao (Engle–Granger Based) cointegration test [ 76 ], and combined individual tests [ 77 ].…”
Section: Resultsmentioning
confidence: 99%
“…The first-generation panel unit root test assumes that each variable is independent on the cross-section. If the existence of CSD is ignored, then the empirical results will be biased [ 54 ]. Based on this, before examining the COVID-19 shocks on oil exploration and production enterprises’ stock prices, this paper first follows Pesaran [ 46 ] and Pesaran [ 47 ] to check whether there is CSD in the panel dataset.…”
Section: Methodsmentioning
confidence: 99%