Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

The Oxford Handbook of Bayesian Econometrics, PDF eBook

The Oxford Handbook of Bayesian Econometrics PDF

Edited by John Geweke, Gary Koop, Herman van Dijk

Part of the Oxford Handbooks series

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

Bayesian econometric methods have enjoyed an increase in popularity in recent years.

Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods.

This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier.

It contains contributions by leading Bayesianson the latest developments in their specific fields of expertise.

The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.

It reviews the state of the artin Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering.

It also includes chapters on Bayesian principles and methodology.

Information

Information