An Introduction to Modern Bayesian Econometrics (Paperback, New)


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

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Product Description

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

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Product Details

General

Imprint

Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)

Country of origin

United Kingdom

Release date

April 2004

Availability

Expected to ship within 12 - 17 working days

First published

June 2004

Authors

Dimensions

246 x 189 x 22mm (L x W x T)

Format

Paperback

Pages

416

Edition

New

ISBN-13

978-1-4051-1720-3

Barcode

9781405117203

Categories

LSN

1-4051-1720-6



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