… Partially identified models can arise, whereby the identification region for a target parameter
… reviews the use of Bayesian inference in partially identified models, and describes the large-…

… for partially identified population features for which the population identification region can
be … Examples of population features in this class include interval-identified scalar parameters, …

… Intuitively, the identified set in a partially identified model is itself a point identified quantity, …
This shows that essentially any partially identified model, with discretized observables, fits …

… of partially identified models.… for a partially identified model with binary misclassification.
Moreover, Liao and Jiang (2010) analyzed posterior distributions for moment inequality models …

… of partially identified model … partially spurious) and others are not As our analysis will show?
such time series spurious regressions have a close formal similarity with partially identified …

… can perform useful inference for any partially identified model. We need to understand the
… Thus we need to consider the performance of Bayesian procedures in partially identified con…

… for inference in a very general class of partially identified econometric models. Let P denote
the distribution of the observed data. The class of models we consider is defined by a pop…

… In this paper, we consider partially identified models defined … sets for our class of partially
identified models. In large samples, … tial procedures for partially identified models. The ultimate …

… In this section, we provide motivation for our study of partially identified models by describing
several specific examples of such models. We will return to these examples repeatedly in …

… on inference in partially identified models by giving an answer to this question. I introduce
empirical likelihood (EL) as a new procedure for partially identified models and show that …