Robustness of size of tests of autocorrelation and heteroscedasticity to nonnormality

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Abstract

A comprehensive empirical examination is made of the sensitivity of tests of disturbance covariance in the linear regression model to nonnormal disturbance behaviour. Tests of autocorrelation appear to be quite robust, except for extreme nonnormality, but tests for heteroscedasticity are highly susceptible to kurtosis.

Original languageEnglish
Pages (from-to)7-24
Number of pages18
JournalJournal of Econometrics
Volume51
Issue number1-2
DOIs
Publication statusPublished - 1992

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