Published November 1, 2006 | Version v1
Publication Open

Optimal income support targeting

  • 1. University of San Andrés

Description

This paper considers the practical problem of distributing a fixed budget for poverty alleviation to a population whose poverty status is not directly observable. The solution we propose improves on the techniques that are commonly used in practice by taking both the concavity of the social welfare function and the entire conditional distribution of poverty status into account, and by endogenously determining the optimal transfer levels. We provide an algorithm to calculate the optimal transfers for any population of benefit applicants. Finally, we explain how our method is a generalization of statistical classification techniques and thus provide an intuitive discussion of the defects of currently operational methods.

⚠️ This is an automatic machine translation with an accuracy of 90-95%

Translated Description (Arabic)

تتناول هذه الورقة المشكلة العملية المتمثلة في توزيع ميزانية ثابتة للتخفيف من حدة الفقر على السكان الذين لا يمكن ملاحظة حالة الفقر لديهم بشكل مباشر. يعمل الحل الذي نقترحه على تحسين التقنيات المستخدمة بشكل شائع في الممارسة العملية من خلال مراعاة كل من تقعر وظيفة الرعاية الاجتماعية والتوزيع المشروط الكامل لحالة الفقر، ومن خلال تحديد مستويات النقل المثلى داخليًا. نحن نقدم خوارزمية لحساب التحويلات المثلى لأي مجموعة من المتقدمين للحصول على المزايا. أخيرًا، نشرح كيف أن طريقتنا هي تعميم لتقنيات التصنيف الإحصائي وبالتالي تقديم مناقشة بديهية لعيوب الأساليب التشغيلية الحالية.

Translated Description (English)

This paper considers the practical problem of distributing a fixed budget for poverty alleviation to a population whose poverty status is not directly observable. The solution we propose improves on the techniques that are commonly used in practice by taking both the concavity of the social welfare function and the entire conditional distribution of poverty status into account, and by endogenously determining the optimal transfer levels. We provide an algorithm to calculate the optimal transfers for any population of benefit applicants. Finally, we explain how our method is a generalization of statistical classification techniques and thus provide an intuitive discussion of the defects of currently operational methods.

Translated Description (French)

This paper considerers the practical problem of distributing a fixed budget for poverty alleviation to a population whose poverty status is not directly observable. The solution we proposed improves on the techniques that are commonly used in practice by taking both the concavity of the social welfare function and the entire conditional distribution of poverty status into account, and by endogenously determining the optimal transfer levels. We provide an algorithm to calculate the optimal transfers for any population of benefit applicants. Finalement, we explain how our method is a generalization of statistical classification techniques and thus provide an intuitive discussion of the defects of currently operational methods.

Translated Description (Spanish)

This paper considers the practical problem of distributing a fixed budget for poverty alleviation to a population whose poverty status is not directly observable. The solution we propuso improves on the techniques that are commonly used in practice by taking both the concavity of the social welfare function and the entire conditional distribution of poverty status into account, and by endogenously determining the optimal transfer levels. We provide an algorithm to calculate the optimal transfers for any population of benefit applicants. Finally, we explain how our method is a generalization of statistical classification techniques and thus provide an intuitive discussion of the defects of currently operational methods.

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Additional details

Additional titles

Translated title (Arabic)
استهداف دعم الدخل الأمثل
Translated title (English)
Optimal income support targeting
Translated title (French)
Optimal income support targeting
Translated title (Spanish)
Optimal income support targeting

Identifiers

Other
https://openalex.org/W3123084019
DOI
10.1007/s10797-006-6552-z

GreSIS Basics Section

Is Global South Knowledge
Yes
Country
Argentina

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