EconPapers    
Economics at your fingertips  
 

Bayesian Econometric Methods

Gary Koop (), Dale J. Poirier and Justin L. Tobias

in Cambridge Books from Cambridge University Press

Abstract: A new book in the Econometric Exercises series, this volume contains questions and answers to provide students with useful practice, as they attempt to master Bayesian econometrics. In addition to many theoretical exercises, this book contains exercises designed to develop the computational tools used in modern Bayesian econometrics. The latter half of the book contains exercises that show how these theoretical and computational skills are combined in practice, to carry out Bayesian inference in a wide variety of models commonly used by econometricians. Aimed primarily at advanced undergraduate and graduate students studying econometrics, this book may also be useful for students studying finance, marketing, agricultural economics, business economics or, more generally, any field which uses statistics. The book also comes equipped with a supporting website containing all the relevant data sets and MATLAB computer programs for solving the computational exercises.

Date: 2007
References: Add references at CitEc
Citations View citations in EconPapers (16) Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Book: Bayesian Econometric Methods (2007)
Working Paper: Bayesian Econometric Methods (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:cup:cbooks:9780521855716

Ordering information: This item can be ordered from
http://www.cambridge ... p?isbn=9780521855716

Access Statistics for this book

More books in Cambridge Books from Cambridge University Press
Series data maintained by Ruth Austin ().

 
Page updated 2013-06-14
Handle: RePEc:cup:cbooks:9780521855716