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Introduction to Modern Bayesian Econometrics, by Tony Lancaster
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In this new and expanding area, Tony Lancaster’s text is the first comprehensive introduction to the Bayesian way of doing applied economics.
- Uses clear explanations and practical illustrations and problems to present innovative, computer-intensive ways for applied economists to use the Bayesian method;
- 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
- Sales Rank: #878303 in Books
- Brand: Brand: Wiley-Blackwell
- Published on: 2004-06-18
- Original language: English
- Number of items: 1
- Dimensions: 9.70" h x .92" w x 6.80" l, 1.59 pounds
- Binding: Paperback
- 416 pages
- Used Book in Good Condition
Review
“This book conveys the revolution in Bayesian statistics brought about by modern computing and simulation methods from a perspective that econometricians will find familiar. It works through the implications for econometric practice using practical examples and accessible computer software. Graduate students in economics will find it highly accessible. Practitioners steeped in classical econometric methods will find much that is new, exciting, and useful here as well.” John Geweke, University of Iowa
“Lancaster's text gives an impressive overview of the Bayesian point of view, and should prove a valuable resource to econometricians of all persuasions.” Werner Ploberger, University of Rochester
From the Back Cover
About two hundred and forty years ago, an English clergyman named Thomas Bayes developed a method to calculate the chances of uncertain events in the light of accumulating evidence. Though his method has extensive applications to the work of economists, it is only recent advances in computing that have made it possible to exploit its full power.
In this new and expanding area, Tony Lancaster’s text provides a comprehensive introduction to the Bayesian way of doing applied economics. Using clear explanations and practical illustrations and problems, the text presents innovative, computer-intensive ways for applied economists to use the Bayesian method. In addition, each chapter includes numerical and graphical examples and demonstrates their solutions using the S programming language and Bugs software.
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.
Most helpful customer reviews
13 of 15 people found the following review helpful.
Great Book
By M. Yan
If you are looking for a book for Bayesian estimation, this is the one. The first several chapters say it all about Bayesian methods. The rest of the book is applications. Very helpful reading for learning the method.
3 of 3 people found the following review helpful.
Best introductory Bayesian book
By Tamas K. Papp
This is the best introductory Bayesian book for advanced undergraduate or first-year graduate students, especially in the social sciences. All concepts are explained in depth and illustrated with plenty of examples. I only wish that the publisher used a nicer-looking font for typesetting the book.
5 of 6 people found the following review helpful.
Good book!
By Scott C. Nelson
I'm taking an intro to Bayesian stats class and we are using the Carlin & Louis book -- it is a POS.
I found this book in the library and it is much better. It gives very clear explanations of the ideas, and lots of concrete worked examples. Props to the author.
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