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Stochastic Dominance, Poverty and the Treatment Effect Curve

Author

Listed:
  • Paolo Verme

    (University of Torino)

Abstract

The paper proposes a simple framework for the evaluation of anti-poverty programs based on single means differences, FGT poverty measures and stochastic dominance theory. A Treatment Effect Curve (TEC) is derived and its use illustrated with simulated data.

Suggested Citation

  • Paolo Verme, 2010. "Stochastic Dominance, Poverty and the Treatment Effect Curve," Economics Bulletin, AccessEcon, vol. 30(1), pages 365-373.
    • Handle: RePEc:ebl:ecbull:eb-09-00688
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    References listed on IDEAS

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    Cited by:

    1. Dirk Van de gaer & Joost Vandenbossche & José Luis Figueroa, 2014. "Children's Health Opportunities and Project Evaluation: Mexico's Oportunidades Program," The World Bank Economic Review, World Bank, vol. 28(2), pages 282-310.
    2. Felix Naschold & Christopher B. Barrett, 2020. "A stochastic dominance approach to program evaluation with an application to child nutritional status in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 871-886, November.
    3. J. L. Figueroa, 2013. "Distributional effects of OPORTUNIDADES on early child development," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/840, Ghent University, Faculty of Economics and Business Administration.
    4. Figueroa, José Luis, 2014. "Distributional effects of Oportunidades on early child development," Social Science & Medicine, Elsevier, vol. 113(C), pages 42-49.

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    More about this item

    Keywords

    Stochastic dominance; Poverty; Treatment effect;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • D3 - Microeconomics - - Distribution

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