; ; ; "ActiveFedora::Aggregation::ListSource" . a , ; "Prior Density Ratio Class Robustness in Econometrics"; ; "batchuser@example.com"; "Geweke, John", "Petrella, Lea"; "Federal Reserve Bank of Minneapolis"; "Bayesian inference", "Markov-chain Monte Carlo", "Normal mixture", "Probit model"; "C11 - Bayesian Analysis: General", "C63 - Computational Techniques; Simulation Modeling"; "This 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. "^^; "1995-08"; "2019-07-30T16:19:37.123500331+00:00"^^; "https://doi.org/10.21034/wp.553"; ; "https://creativecommons.org/licenses/by-nc/4.0/"; "Wed Oct 23 18:00:05 2019"; "https://creativecommons.org/licenses/by-nc/4.0/"; "Research Paper"; "266", "605"; "Working paper (Federal Reserve Bank of Minneapolis. Research Department)"; "553"; "Bayesian inference", "Markov-chain Monte Carlo", "Normal mixture", "Probit model"; ; ; ; ; "Federal Reserve Bank of Minneapolis. Research Department"; "Published in: _Journal of Business and Economic Statistics_ (Vol. 16, No. 4, October 1998, pp. 469-478), https://doi.org/10.2307/1392615."^^; ; "Publication" . ; .