An Introduction to Modern Bayesian Econometrics

Tony Lancaster

ISBN 10: 1405117206 / ISBN 13: 9781405117203

Published by Blackwell Pub, 2004

About this Item

401 pages. 9.50x6.50x1.00 inches. In Stock.

Seller Inventory # x-1405117206

Bibliographic Details

• Title: An Introduction to Modern Bayesian Econometrics
• Publisher: Blackwell Pub
• Publication Date: 2004
• Language: English
• ISBN 10: 1405117206
• ISBN 13: 9781405117203
• Binding: Paperback
• Condition: Brand New
• Weight: 0.79 kilograms

About this title

Synopsis

In this new and expanding area, Tony Lancaster’s text is the first comprehensive introduction to the Bayesian way of doing applied economics.

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• Uses clear explanations and practical illustrations and problems to present innovative, computer-intensive ways for applied economists to use the Bayesian method;
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• Emphasizes computation and the study of probability distributions by computer sampling;
  
• Covers all the standard econometric models, including linear and non-linear regression using cross-sectional, time series, and panel data;
  
• Details causal inference and inference about structural econometric models;
  
• Includes numerical and graphical examples in each chapter, demonstrating their solutions using the S programming language and Bugs software
  
• Supported by online supplements, including Data Sets and Solutions to Problems, at www.blackwellpublishing.com/lancaster

About the Author

Tony Lancaster is Herbert H. Goldberger Professor of Economics and Professor of Community Health at Brown University. He is the author of The Econometric Analysis of Transition Data (1990), an Econometric Society Monograph.