A First Course in Bayesian Econometrics

Written by two renowned scholars in the field, this book contains recent developments in Bayesian econometrics at a basic level. Modern computational techniques, such as Markov Chain Monte Carlo and, more importantly, sequential Monte Carlo Methods, are used throughout the nook to provide the modeler/researcher with more flexible and more realistic modeling strategies. Additionally, the book has broader scope than most of the existing literature by combining in one place panel data models, time series models, and recent computational tools. MATLAB and R are used illustratively and lavishly throughout the work.