Bayesian Econometrics

Gary Koop

360 pages, parution le 06/06/2003

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Résumé

Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. Topics covered in the book include the regression model (and variants applicable for use with panel data), time series models, models for qualitative or censored data, nonparametric methods and Bayesian model averaging. The book includes numerous empirical examples and the website associated with it contains data sets and computer programs to help the student develop the computational skills of modern Bayesian econometrics.

Contents

An Overview of Bayesian Econometrics.
The Normal Linear Regression Model with Natural Conjugate Prior and a Single Explanatory Variable.
The Normal Linear Regression Model with Natural Conjugate Prior and Many Explanatory Variables.
The Normal Linear Regression Model with Other Priors.
The Nonlinear Regression Model.
The Linear Regression Model with General Error Covariance Matrix.
The Linear Regression Model with Panel Data.
Introduction to Time Series: State Space Models.
Qualitative and Limited Dependent Variable Models.
Flexible Models: Nonparametric and Semi-Parametric Methods.
Bayesian Model Averaging.
Other Models, Methods and Issues.

Appendix A: Introduction to Matrix Algebra.
Appendix B: Introduction to Probability and Statistics.
Bibliography.

L'auteur - Gary Koop

Gary Koop is Professor of Economics at the University of Leicester.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Gary Koop
Parution	06/06/2003
Nb. de pages	360
Format	17 x 24,5
Couverture	Broché
Poids	640g
Intérieur	Noir et Blanc
EAN13	9780470845677
ISBN13	978-0-470-84567-7