Bayesian Identification and Partial Identification
Jean‐Pierre Florens, Anna Simoni · 2011
The problem of identification and partial identification in econometrics is considered. We carry out a comprehensive analysis of the identification issue from both a classical and a Bayesian point of view. We review three concepts of identification: sampling, measurable and Bayesian identification, and the relationship existing among them. We analyze the concept of exact estimability and its link with Bayesian identification. Examples are provided where measurable identification fails while Bayesian identification does not. Many classical examples of the partial identification literature are reconsidered by using a nonparametric Bayesian approach.