Dealing with Endogeneity in Regression Models with Dynamic Coefficients presents a unified econometric framework for dealing with the issues of endogeneity in Markov-switching models and time-varying parameter models. While others have considered estimation of simultaneous equations models with stochastic coefficients as a system, we focus on the LIML (limited information maximum likelihood) estimation of a single equation of interest out of a simultaneous...