Policy-related small.area estimation

Nicholas Tibor Longford

No 2011-44, LISER Working Paper Series from Luxembourg Institute of Socio-Economic Research (LISER)

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 that the commonly applied empirical Bayes and composite estimators are inefficient for a wide range of 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.

Keywords: Composition; empirical Bayes; expected loss; borrowing strenght; exploiting similarity; small-area estimation; utility function (search for similar items in EconPapers)
JEL-codes: C13 C14 C18 C44 C83 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2011-07
New Economics Papers: this item is included in nep-ecm and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.liser.lu/publi_viewer.cfm?tmp=2752 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

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:irs:cepswp:2011-44

Access Statistics for this paper

More papers in LISER Working Paper Series from Luxembourg Institute of Socio-Economic Research (LISER) 11, Porte des Sciences, L-4366 Esch-sur-Alzette, G.-D. Luxembourg. Contact information at EDIRC.
Bibliographic data for series maintained by Library and Documentation ( this e-mail address is bad, please contact ).