Posterior Properties of Long-Run Impulse Responses
Gary Koop,
Jacek Osiewalski and
Mark Steel
Journal of Business & Economic Statistics, 1994, vol. 12, issue 4, 489-92
Abstract:
This paper describes an exact, small-sample, Bayesian analysis of impulse response functions. The authors show how many common priors imply that posterior densities for impulse responses at long horizons have no moments. Their results indicate that impulse responses should be assessed on the basis of their full posterior densities and that standard estimates such as posterior means, variances, or modes may be very misleading.
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (4)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
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: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:12:y:1994:i:4:p:489-92
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().