Prior density ratio class robustness in econometrics
AbstractThis paper provides a general and efficient method for computing density ratio class bounds on posterior moments, given the output of a posterior simulator. It shows how density ratio class bounds for posterior odds ratios may be formed in many situations, also on the basis of posterior simulator output. The computational method is used to provide density ratio class bounds in two econometric models. It is found that the exact bounds are approximated poorly by their asymptotic approximation, when the posterior distribution of the function of interest is skewed. It is also found that posterior odds ratios display substantial variation within the density ratio class, in ways that cannot be anticipated by the asymptotic approximation.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Federal Reserve Bank of Minneapolis in its series Working Papers with number 553.
Date of creation: 1995
Date of revision:
Publication status: Published in Journal of Business and Economic Statistics (Vol. 16, No. 4, October 1998, pp. 469-478)
Other versions of this item:
- Geweke, John & Petrella, Lea, 1998. "Prior Density-Ratio Class Robustness in Econometrics," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 469-78, October.
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: (Janelle Ruswick).
If references are entirely missing, you can add them using this form.