Introduction to Modern Bayesian Econometrics (Paperback)

Tony Lancaster

ISBN 10: 1405117206 / ISBN 13: 9781405117203

Editore: John Wiley and Sons Ltd, Hoboken, 2004

Riguardo questo articolo

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 multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9781405117203

Dati bibliografici

• Titolo: Introduction to Modern Bayesian Econometrics (Paperback)
• Editore: John Wiley and Sons Ltd, Hoboken
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 1405117206
• ISBN 13: 9781405117203
• Rilegatura: Paperback
• Edizione: prima edizione
• Condizione: new

Descrizione articolo

Riassunto

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

Informazioni sull?autore

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.