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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
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    File URL: https://www.pids.gov.ph/publication/discussion-papers/alternative-means-testing-options-using-cbms
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    References listed on IDEAS

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    1. David Coady & Margaret Grosh & John Hoddinott, 2004. "Targeting of Transfers in Developing Countries : Review of Lessons and Experience," World Bank Publications - Books, The World Bank Group, number 14902.
    2. Castaneda, Tarsicio, 2005. "Targeting social spending to the poor with proxy - means testing: Colombia's SISBEN system," Social Protection Discussion Papers and Notes 32759, The World Bank.
    3. 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.
    4. 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.
    5. 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).
    6. Margaret Grosh & David Coady & John Hoddinott, 2003. "Targeting Methods for Transfers," World Bank Publications - Reports 11817, The World Bank Group.
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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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