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A Class of Decomposable Poverty Measures With Public Transfers

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  • Achintya Ray

    (Tennessee State University)

Abstract

This paper proposes a class of decomposable poverty measures. It incorporates ideas of flexible minimum basic requirement norms, relative deprivation and the presence of public transfer systems. Public transfers oftentimes take the form of implicit transfers and are not usually reflected in the reported income figures. Depending on the access and usage of public transfer systems, real consumption possibility can be very different for different individuals. This paper demonstrates that a poverty measure can be used in a straightforward manner to derive a metric to evaluate the efficiency of the public transfer systems to reach their intended targets. Some of the policy implications are also provided.

Suggested Citation

  • Achintya Ray, 2006. "A Class of Decomposable Poverty Measures With Public Transfers," Economics Bulletin, AccessEcon, vol. 9(3), pages 1-8.
  • Handle: RePEc:ebl:ecbull:eb-06i30005
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    References listed on IDEAS

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    1. Umali-Deininger, Dina L. & Deininger, Klaus W., 2001. "Towards greater food security for India's poor: balancing government intervention and private competition," Agricultural Economics, Blackwell, vol. 25(2-3), pages 321-335, September.
    2. Bhaskar Dutta & Bharat Ramaswami, 2004. "Reforming Food Subsidy Schemes: Estimating the Gains from Self‐targeting in India," Review of Development Economics, Wiley Blackwell, vol. 8(2), pages 309-324, May.
    3. Tarozzi, Alessandro, 2005. "The Indian Public Distribution System as provider of food security: Evidence from child nutrition in Andhra Pradesh," European Economic Review, Elsevier, vol. 49(5), pages 1305-1330, July.
    4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    5. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    6. William G. Grigsby & Steven C. Bourassa, 2003. "Trying to Understand Low-income Housing Subsidies: Lessons from the United States," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 973-992, May.
    7. Takayama, Noriyuki, 1979. "Poverty, Income Inequality, and Their Measures: Professor Sen's Axiomatic Approach Reconsidered," Econometrica, Econometric Society, vol. 47(3), pages 747-759, May.
    8. Blakorby, Charles & Donaldson, David, 1980. "Ethical Indices for the Measurement of Poverty," Econometrica, Econometric Society, vol. 48(4), pages 1053-1060, May.
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    Cited by:

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    2. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    3. James E. Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster-Greer-Thorbecke (FGT) Poverty Measures: Twenty-Five Years Later," Working Papers 2010-14, The George Washington University, Institute for International Economic Policy.

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    More about this item

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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