Testing for Men reversion in Heteroskedastic data Based on Gibbs-Simpling-Augmented Randomization
AbstractPrivious 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.
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 University of Washington, Department of Economics in its series Working Papers with number 96-11.
Length: 26 pages
Date of creation: 1996
Date of revision:
SAMPLING; ECONOMIC MODELS; STATISTICS;
Other versions of this item:
- Kim, C.J. & Nelson, C.R. & Startz, R., 1996. "Testing for Men reversion in Heteroskedastic data Based on Gibbs-Simpling-Augmented Randomization," Discussion Papers in Economics at the University of Washington 96-11, Department of Economics at the University of Washington.
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statistics
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.