Introduction to Modern Bayesian Econometrics

In this new and expanding area, Tony Lancaster’s text is the first comprehensive introduction to the Bayesian way of doing applied economics. <br /> <ul> <li style=”list-style: none”><br /> </li> <li>Uses clear explanations and practical illustrations and problems to present innovative, computer-intensive ways for applied economists to use the Bayesian method;</li> <li style=”list-style: none”><br /> </li> <li>Emphasizes computation and the study of probability distributions by computer sampling;<br /> </li> <li>Covers all the standard econometric models, including linear and non-linear regression using cross-sectional, time series, and panel data;<br /> </li> <li>Details causal inference and inference about structural econometric models;<br /> </li> <li>Includes numerical and graphical examples in each chapter, demonstrating their solutions using the S programming language and Bugs software<br /> </li> <li>Supported by online supplements, including Data Sets and Solutions to Problems, at www.blackwellpublishing.com/lancaster</li> </ul>