Goodness-of-fit tests based on a robust measure of skewness
In this paper we propose several goodness-of-fit tests based on robust measures of skewness and tail weight. They can be seen as generalisations of the Jarque-Bera test (Bera and Jarque, 1981) based on the classical skewness and kurtosis, and as an alternative to the approach of Moors et al. (1996) using quantiles. The power values and the robustness properties of the different tests are investigated by means of simulations and applications on real data. We conclude that MC-LR, one of our proposed tests, shows the best overall power and that it is moderately influenced by outlying values.
|Date of creation:||Aug 2004|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: https://www.uantwerp.be/en/faculties/applied-economic-sciences/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ant:wpaper:2004018. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joeri Nys)
If references are entirely missing, you can add them using this form.