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Tony Lancaster - Introduction to Modern Bayesian Econometrics - 9781405117203 - V9781405117203
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Introduction to Modern Bayesian Econometrics

€ 50.25
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Description for Introduction to Modern Bayesian Econometrics Paperback. * Provides a comprehensive introduction to the Bayesian way of doing applied economics * Emphasizes computation and the study of probability distributions by computer sampling * Includes numerical and graphical examples in each chapter, demonstrating their solutions using the S programming language and Bugs software. Num Pages: 416 pages, 100. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 248 x 175 x 26. Weight in Grams: 778.
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 ... Read more
  • Supported by online supplements, including Data Sets and Solutions to Problems, at www.blackwellpublishing.com/lancaster
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Product Details

Publisher
John Wiley and Sons Ltd
Number of pages
416
Format
Paperback
Publication date
2004
Condition
New
Weight
832g
Number of Pages
416
Place of Publication
Hoboken, United Kingdom
ISBN
9781405117203
SKU
V9781405117203
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Tony Lancaster
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.

Reviews for Introduction to Modern Bayesian Econometrics
“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, ... Read more

Goodreads reviews for Introduction to Modern Bayesian Econometrics


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