The Allocation of Benefits underUncertainty: A Decision-Theoretic Framework

Ramses H. Abul Naga

STICERD - Distributional Analysis Research Programme Papers from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

Abstract: We consider the problem of targeting benefits when the incomes of families are not accurately observable by the public authorities. By income uncertainty it is meant that the decision-maker cannot ascertain an applicant's income, but that he can assign probabilities with respect to the level of his resources. A decision-theoretic framework is used in order to analyze the decision to grant a benefit of fixed size. The derived decision rule consists of balancing the expected social cost of denying assistance to a person in need (type-I error) against that of granting a benefit to a non-poor (type-II error). Thus, when the cost of type-I errors are on the rise, or those of type-II errors fall, it becomes more desirable socially to increase population coverage of the benefit programme. Empirical illustrations are provided using a sample from the PSID.

Keywords: Poverty; imperfect information; allocation of benefits (search for similar items in EconPapers)
Date: 1995-05

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: The allocation of benefits under uncertainty: a decision-theoretic framework (2003)
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: http://EconPapers.repec.org/RePEc:cep:stidar:10

Access Statistics for this paper

More papers in STICERD - Distributional Analysis Research Programme Papers from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
Series data maintained by ().