Robust Critical Values For The Jarque-Bera Test For Normality
AbstractWe introduce the “sample” technique to generate robust critical values for the Jarque and Bera (JB) Lagrangian Multiplier (LM) test for normality, JBCV( 1 2 k ,k ), by using improved critical values the true size of the test approaches its nominal value. Monte Carlo methods are used to study the size, and the power of the JB normality test with the “sample” critical values and compare with three alternatives to the Jarque and Bera LM test for normality: the Urzúa (1996) modification of the Jarque- Bera test, JBM; the Omnibus K2 statistic made by D’Agostino, Belanger and D’Agostino (1990), JBK; and finally the, Jarque and Bera LM test for normality by using the quantities 1 k and 2 k are the definitions of sample skewness and kurtosis JB( 1 2 k ,k ). The JBCV( 1 2 k ,k ), shows superiority as it has the right size for all samples, small, medium and large, and at the same time has the higher power.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Jönköping International Business School in its series JIBS Working Papers with number 2010-8.
Length: 22 pages
Date of creation: 17 Nov 2010
Date of revision:
Contact details of provider:
Postal: Jönköping International Business School, P.O. Box 1026, SE-551 11 Jönköping, Sweden
Web page: http://www.jibs.hj.se/
More information through EDIRC
Jarque and Bera LM test; Kurtosis; Omnibus K2; Skewness; Test for normality;
Find related papers by JEL classification:
- Omn - Economic Development, Technological Change, and Growth - - - - -
- K2 - Law and Economics - - Regulation and Business Law
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Susanne Hansson) or (Stefan Carlstein).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.