Policy-related small-area estimation

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• dc.contributor.author Longford, Nicholas T.ca
• dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
• dc.date.accessioned 2017-07-26T10:50:43Z
• dc.date.available 2017-07-26T10:50:43Z
• dc.date.issued 2014-06-01
• dc.date.modified 2017-07-23T02:16:16Z
• dc.description.abstract A method of small-area estimation with a utility function is developed. The utility characterises a policy planned to be implemented in each area, based on the area's estimate of a key quantity. It is shown by simulations that the commonly applied composite and empirical Bayes estimators are inefficient for a wide range of asymmetric utility functions. Adaptations for limited budget to implement the policy are explored. An argument is presented for a closer integration of estimation and (regional) policy making because no single small- area estimator is suitable for a wide range of purposes.
• dc.format.mimetype application/pdfca
• dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=1427
• dc.identifier.uri http://hdl.handle.net/10230/22599
• dc.language.iso eng
• dc.relation.ispartofseries Economics and Business Working Papers Series; 1427
• 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 composition; empirical bayes; expected loss; borrowing strength; exploiting similarity; small-area estimation; utility function.
• dc.title Policy-related small-area estimationca
• dc.type info:eu-repo/semantics/workingPaper