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Markov Chain Monte Carlo Simulation Methods in Econometrics

Published online by Cambridge University Press:  11 February 2009

Siddhartha Chib  and
Edward Greenberg
Siddhartha Chib
Affiliation:
Washington University
Edward Greenberg
Affiliation:
Washington University
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Abstract

We present several Markov chain Monte Carlo simulation methods that have been widely used in recent years in econometrics and statistics. Among these is the Gibbs sampler, which has been of particular interest to econometricians. Although the paper summarizes some of the relevant theoretical literature, its emphasis is on the presentation and explanation of applications to important models that are studied in econometrics. We include a discussion of some implementation issues, the use of the methods in connection with the EM algorithm, and how the methods can be helpful in model specification questions. Many of the applications of these methods are of particular interest to Bayesians, but we also point out ways in which frequentist statisticians may find the techniques useful.

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Type
Research Article
Information
Econometric Theory , Volume 12 , Issue 3 , August 1996 , pp. 409 - 431
Copyright
Copyright © Cambridge University Press 1996

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References

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