Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5060258 | Economics Letters | 2012 | 4 Pages |
Abstract
In this note, we provide the application of HCCME-type refinements to nonlinear GMM models with Bayesian interpretations.
⺠There are several bias-correction methods for nonlinear GMM models based on the HCCME. ⺠One can recast frequentist procedures in terms of posterior Bayesian analysis. ⺠We provide the application of the HCCME to nonlinear GMM models with Bayesian interpretations.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Eric S. Lin, Ta-Sheng Chou,