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Targeting when Poverty is Multidimensional

Author

Listed:
  • Marcos Agurto

    (Universidad de Piura)

  • César Calvo

    (Universidad de Piura)

  • Miguel Ángel Carpio

    (Universidad de Piura)

Abstract

The view of poverty as a multidimensional phenomenon has swiftly become mainstream. However, the debate remains open as to how such ?multidimensional poverty? should be assessed in practical settings, particularly when identifying the beneficiaries of poverty alleviation programmes. This paper develops a novel empirical approach that explicitly takes into account the goals and needs of the policy-maker. In particular, the paper takes up the case of a government official running a budget constrained programme to alleviate a few dimensions of poverty, and translates her concerns into a set of desiderata which the multidimensional measure should meet. The policy-maker targeting ability and aversion to the risk of leakages play crucial roles in setting the desired properties. We illustrate our methodology in the context of a CCT programme in Peru, and show that it improves expected leaking and undercoverage relative to alternative Alkire-Foster based approaches.

Suggested Citation

  • Marcos Agurto & César Calvo & Miguel Ángel Carpio, 2019. "Targeting when Poverty is Multidimensional," Working Papers 2019-4, Lima School of Economics.
  • Handle: RePEc:ima:wpaper:2019-004
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    References listed on IDEAS

    as
    1. Bernal, Noelia & Carpio, Miguel A. & Klein, Tobias J., 2017. "The effects of access to health insurance: Evidence from a regression discontinuity design in Peru," Journal of Public Economics, Elsevier, vol. 154(C), pages 122-136.
    2. Yadira Diaz & Francisco Alejandro Espinoza & Yvonni Markaki & Lina Maria Sanchez-Cespedes, 2015. "Targeting Grenada's Most Deprived Population: A Multidimensional Living Conditions Assessment," OPHI Working Papers 92, Queen Elizabeth House, University of Oxford.
    3. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    4. Viviane Azevedo & Marcos Robles, 2013. "Multidimensional Targeting: Identifying Beneficiaries of Conditional Cash Transfer Programs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 447-475, June.
    5. Yadira Diaz, Francisco Alejandro Espinoza, Yvonni Markaki, and Lina Maria Sanchez-Cespedes, 2015. "Targeting Grenada’s Most Deprived Population: A Multidimensional Living Conditions Assessment," OPHI Working Papers ophiwp092.pdf, Queen Elizabeth House, University of Oxford.
    6. Bernal Lobato, Noelia & Carpio, M.A. & Klein, Tobias, 2017. "The effects of access to health insurance: Evidence from a regression discontinuity design in Peru," Other publications TiSEM 215d796f-09fd-4231-a02d-1, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Matthew C. LaFevor & Alexandra G. Ponette-González & Rebecca Larson & Leah M. Mungai, 2021. "Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages," Land, MDPI, vol. 10(7), pages 1-17, July.

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    More about this item

    Keywords

    Multidimensional poverty; targeting; Peru;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • H1 - Public Economics - - Structure and Scope of Government

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