In this note we provide justification for some Monte Carlo results presented by Elder and Kennedy (2001). In particular we show that the severe size distortions observed by Elder and Kennedy are due to the presence of nuisance parameters in the data generation process, but ignored in the test regression. As is shown in a small Monte Carlo exercise, correct size for the statistics is obtained when an adequate test regression is considered.
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