The allocation of benefits under uncertainty: a decision-theoretic framework

Détails

ID Serval
serval:BIB_F7C2DC72DDE0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
The allocation of benefits under uncertainty: a decision-theoretic framework
Périodique
Economic Modelling
Auteur(s)
Abul Naga  Ramses H.
Statut éditorial
Publié
Date de publication
2003
Peer-reviewed
Oui
Volume
20
Numéro
4
Pages
873-893
Langue
anglais
Résumé
We consider the problem of targeting benefits when the decision-maker cannot ascertain an applicant's income, but can assign probabilities with respect to the level of his resources. A decision-theoretic framework is used to analyze the decision to grant a benefit of fixed size. The proposed rule consists in balancing the expected social cost of denying assistance to the needy (type-I error) against that of granting a benefit to a non-poor (type-II error). Thus, when the costs of type-I errors are on the rise, or those of type-II errors fall, it becomes more desirable to increase population coverage of the programme.
Mots-clé
Poverty Resource Allocation
Création de la notice
19/11/2007 11:55
Dernière modification de la notice
03/03/2018 22:50
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