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Alternative Means Testing Options Using CBMS

Author

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  • Celia M. Reyes

    (PIDS)

Abstract

The study proposes an alternative means to the present manner of identifying eligible Philhealth beneficiaries through the use of three criteria, namely : income, ownership of assets and socioeconomic characteristics, and electricity consumption. The information/data gathered in evaluating the criteria are sourced with the use of the community-based monitoring system (CBMS) approach. Given that many of the poor households may not have verifiable records/documents regarding the first criterionincomethe study recommends the adoption of a two-stage screening method using the other two criteria. Households are first classified on the basis of socioeconomic variables that are predictors of income-based poverty status. This is followed by a second stage screening based on electricity consumption for those who passed the first screening. The proposed methodology addresses the problem of undercoverage/exclusion of possible eligible beneficiaries from the program that is evident in the present manner of identifying beneficiaries.

Suggested Citation

  • Celia M. Reyes, 2006. "Alternative Means Testing Options Using CBMS," Development Economics Working Papers 22685, East Asian Bureau of Economic Research.
    • Handle: RePEc:eab:develo:22685
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    File URL: http://www.eaber.org/node/22685
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    References listed on IDEAS

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    1. repec:wbk:wbpubs:14902 is not listed on IDEAS
    2. Mar, Pamela, 2003. "Asia Meets Europe: Inter-Regionalism and the Asia-Europe Meeting: Julie Gilson (Ed.); Edward Elgar Publishing Ltd., UK, 2002, ISBN 1 84064 108 8," Journal of Asian Economics, Elsevier, vol. 14(2), pages 353-355, April.
    3. Ubbarao, K. & Ahmed, A.U. & Teklu, T., 1996. "Selected Social Safety Net Programs in the Philippines. Targeting, Cost Effectiveness, and option for Reform," World Bank - Discussion Papers 317, World Bank.
    4. Coady, David P. & Parker, Susan W., 2005. "Program participation under means-testing and self-selection targeting methods," FCND briefs 191, International Food Policy Research Institute (IFPRI).
    5. Ravallion, Martin, 2000. "Monitoring Targeting Performance When Decentralized Allocations to the Poor Are Unobserved," The World Bank Economic Review, World Bank, vol. 14(2), pages 331-345, May.
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    Cited by:

    1. Barrios, Erniel B. & Mina, Christian D., 2009. "Profiling Poverty with Multivariate Adaptive Regression Splines," Discussion Papers DP 2009-29, Philippine Institute for Development Studies.
    2. Dmytro Boyarchuk & Liudmyla Kotusenko & Katarzyna Pietka-Kosinska & Roman Semko & Irina Sinitsina, 2009. "Agriculture Income Assessment for the Purpose of Social Assistance: the Case of Ukraine," CASE Network Studies and Analyses 0399, CASE-Center for Social and Economic Research.
    3. Jehu-Appiah, Caroline & Aryeetey, Genevieve & Spaan, Ernst & Agyepong, Irene & Baltussen, Rob, 2010. "Efficiency, equity and feasibility of strategies to identify the poor: An application to premium exemptions under National Health Insurance in Ghana," Health Policy, Elsevier, vol. 95(2-3), pages 166-173, May.

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    More about this item

    Keywords

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    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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