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Optimal Income Support Targeting

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Author Info
Sebastián Galiani (Department of Economics, Universidad de San Andrés)
Stefan De Wachter (University of Oxford)

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Abstract

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.

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File URL: ftp://webacademicos.udesa.edu.ar/pub/econ/doc39.pdf
File Format: application/pdf
File Function: Revised version, 2005
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Publisher Info
Paper provided by Universidad de San Andres, Departamento de Economia in its series Working Papers with number 39.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 28 pages
Date of creation: Sep 2001
Date of revision: Apr 2005
Handle: RePEc:sad:wpaper:39

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Related research
Keywords: classification; poverty; program design; targeting;

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Find related papers by JEL classification:
H2 - Public Economics - - Taxation, Subsidies, and Revenue
C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

References listed on IDEAS
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  1. Chesher, Andrew & Schluter, Christian, 2002. "Welfare Measurement and Measurement Error," Review of Economic Studies, Blackwell Publishing, vol. 69(2), pages 357-78, April.
    Other versions:
  2. Hettich, Walter & Winer, Stanley L, 1988. "Economic and Political Foundations of Tax Structure," American Economic Review, American Economic Association, vol. 78(4), pages 701-12, September. [Downloadable!] (restricted)
  3. Besley, Timothy J & Kanbur, S M Ravi, 1988. "Food Subsidies and Poverty Alleviation," Economic Journal, Royal Economic Society, vol. 98(392), pages 701-19, September. [Downloadable!] (restricted)
  4. Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March. [Downloadable!] (restricted)
  5. Ravallion, Martin & Chao, Kalvin, 1989. "Targeted policies for poverty alleviation under imperfect information: Algorithms and applications," Journal of Policy Modeling, Elsevier, vol. 11(2), pages 213-224. [Downloadable!] (restricted)
  6. Glewwe, Paul, 1992. "Targeting assistance to the poor : Efficient allocation of transfers when household income is not observed," Journal of Development Economics, Elsevier, vol. 38(2), pages 297-321, April. [Downloadable!] (restricted)
  7. Ravallion, Martin & Sen, Binayak, 1994. "Impacts on rural poverty of land-based targeting: Further results for Bangladesh," World Development, Elsevier, vol. 22(6), pages 823-838, June. [Downloadable!] (restricted)
  8. Nichols, Albert L & Zeckhauser, Richard J, 1982. "Targeting Transfers through Restrictions on Recipients," American Economic Review, American Economic Association, vol. 72(2), pages 372-77, May. [Downloadable!] (restricted)
  9. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May. [Downloadable!] (restricted)
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