Before revision: This paper derives the limit experiment for nonlinear GMMmodels with weak and partial identification. We propose a theoretically-motivated class of default priors on a non-parametric nuisance parameter.
After revision: This paper derives the limit experiment for weakly identified GMM, and propose a theoretically-motivated class of default priors on a non-parametric nuisance parameter.