Analytical Evaluation of the Power of Tests for the Absence of Cointegration

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Optimal Power for Testing Potential Cointegrating Vectors With Known Parameters for Nonstationarity (2004, methodology): “ Pesavento (2004) gave a detailed account of the aforementioned methods and computed power functions for tests of the null hypothesis that there is no cointegrating vector.”
COINTEGRATION RANK TESTING UNDER CONDITIONAL HETEROSKEDASTICITY (2010, unknown): “This rules out the possibility of nearintegration among the series, as is considered in, inter alia, Elliott (1998) and Pesavento (2004).”
Combining non‐cointegration tests (2013, unknown): “Restrictions on l 0 1, l2, s1 and s2 determine the deterministic components, see Pesavento (2004) for details.”
The role of globalization on the recent evolution of energy demand in India: Implications for sustainable development (2016, background): “Pesavento (2004) further points out that that the power of cointegration tests may be sensitive to the presence of nuisance parameters.”
The dynamic links between CO2 emissions, economic growth and coal consumption in China and India (2013, background): “Moreover, Pesavento [25] showed that the testing powers vary among the single cointegration tests.”