RECENT PROGRESS IN APPLIED BAYESIAN ECONOMETRICS
作者:
Gary Koop,
期刊:
Journal of Economic Surveys
(WILEY Available online 1994)
卷期:
Volume 8,
issue 1
页码: 1-34
ISSN:0950-0804
年代: 1994
DOI:10.1111/j.1467-6419.1994.tb00173.x
出版商: Blackwell Publishing Ltd
关键词: Bayesian;Monte Carlo integration;Gibbs sampling;Numerical integration
数据来源: WILEY
摘要:
Abstract.Bayesian methods are widely used by theoretical econometricians and statisticians but have not won widespread acceptance from applied researchers. After briefly describing the basic of the Bayesian approach, we discuss several issues relating to the empirical application of Bayesian methods. The existing Bayesian empirical literature is also partially summarized. The remainder of the paper offers a non‐technical survey of some recent computational advances in Bayesian econometrics. The overall goal is to persuade economists that Bayesian methods are both computationally feasible and easy to implement in empirical researc
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