Bayesian inference for partially identified models: exploring the limits of limited data

<P><STRONG>Introduction <BR></STRONG>Identification <BR>What Is against Us? <BR>What Is for Us? <BR>Some Simple Examples of Partially Identified Models<BR>The Road Ahead </P><P></P><B><P>The Structure of Inference in Partially Identified Models</B> <BR>Bayesian Inference <BR>The Structure of Posterior Distributions in PIMs <BR>Computational Strategies <BR>Strength of Bayesian Updating, Revisited <BR>Posterior Moments<BR>Credible Intervals <BR>Evaluating the Worth of Inference </P><P></P><B><P>Partial Identification versus Model Misspecification</B> <BR>The Siren Call of Identification <BR>Comp