Paperback. In this new and expanding area, Tony Lancasters 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 * 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Introduction to Modern Bayesian Econometrics (Paperback)
Editor: John Wiley and Sons Ltd, Hoboken
Fecha de publicaci�n: 2004
Idioma: Ingl�s
ISBN 10: 1405117206
ISBN 13: 9781405117203
Encuadernaci�n: Paperback
Edici�n: 1� Edici�n
Estado: new

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Sinopsis

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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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.

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