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Alternative Means Testing Options Using CBMS

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  • Reyes, Celia M.

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 criterion--income--the 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

  • Reyes, Celia M., 2006. "Alternative Means Testing Options Using CBMS," Discussion Papers DP 2006-22, Philippine Institute for Development Studies.
    • Handle: RePEc:phd:dpaper:dp_2006-22
    DOI: https://doi.org/10.62986/dp2006.22
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    References listed on IDEAS

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    1. repec:wbk:wbpubs:14902 is not listed on IDEAS
    2. Castaneda, Tarsicio, 2005. "Targeting social spending to the poor with proxy - means testing: Colombia's SISBEN system," The Social Policy and Labor Discussion Paper Series 32759, The World Bank.
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    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.
    6. David Coady & Margaret Grosh & John Hoddinott, 2003. "Targeting Methods for Transfers," World Bank Publications - Reports 11817, The World Bank Group.
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    Cited by:

    1. 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.
    2. Barrios, Erniel B. & Mina, Christian D., 2009. "Profiling Poverty with Multivariate Adaptive Regression Splines," Discussion Papers DP 2009-29, Philippine Institute for Development Studies.
    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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