Pseudo-maximum de vraisemblance: expériences de simulations dans le cadre d'un model de Poisson
Danielle Bourlange and
Catherine Doz
Annals of Economics and Statistics, 1988, issue 10, 139-176
Abstract:
This paper presents a study of the finite sample properties of the pseudo-maximum likelihood estimators in the case of a Poisson model. The simulations have been realized with control variates, a method which has considerably improved the accuracy of the results obtained. The negative binomial p. d. f. gives better estimators, for the pseudo-maximum likelihood method, than gamma or normal p. d. f. The quasi-generalized pseudo-maximum likelihood method really improves the results, whichever of those three p. d. f.'s is used.
Date: 1988
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.jstor.org/stable/20075699 (text/html)
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:adr:anecst:y:1988:i:10:p:139-176
Access Statistics for this article
Annals of Economics and Statistics is currently edited by Laurent Linnemer
More articles in Annals of Economics and Statistics from GENES Contact information at EDIRC.
Bibliographic data for series maintained by Secretariat General () and Laurent Linnemer ().