Testing for Men reversion in Heteroskedastic data Based on Gibbs-Simpling-Augmented Randomization
Privious work reported that heteroskedasticity did not affect the sampling distribution of the variance ratio, or had assumed that the investigator know a priori the pattern of heteroskedasticity. This paper uses the Gibbs sampling approach in the context of a three state Markov-switching model to show heteroskedasticity affects inference and suggest two strategies for valid inference.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
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.
|Date of creation:||1996|
|Contact details of provider:|| Postal: Box 353330, Seattle, WA 98193-3330|
Web page: http://www.econ.washington.edu/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:udb:wpaper:96-11. 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: (Michael Goldblatt)
If references are entirely missing, you can add them using this form.