An assessment of empirical Bayes and composite estimators for small areas

dc.contributor.author Longford, Nicholas T.ca
dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
dc.date.accessioned 2017-07-26T10:46:58Z
dc.date.available 2017-07-26T10:46:58Z
dc.date.issued 2006-11-01
dc.date.modified 2017-07-23T02:10:51Z
dc.description.abstract We compare a set of empirical Bayes and composite estimators of the population means of the districts (small areas) of a country, and show that the natural modelling strategy of searching for a well fitting empirical Bayes model and using it for estimation of the area-level means can be inefficient.
dc.format.mimetype application/pdfca
dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=995
dc.identifier.uri http://hdl.handle.net/10230/970
dc.language.iso eng
dc.relation.ispartofseries Economics and Business Working Papers Series; 995
dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.keyword composite estimator
dc.subject.keyword empirical bayes models
dc.subject.keyword mean squared error
dc.subject.keyword small-area estimation
dc.subject.keyword Statistics, Econometrics and Quantitative Methods
dc.title An assessment of empirical Bayes and composite estimators for small areasca
dc.type info:eu-repo/semantics/workingPaper

Col·leccions