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JEL Classification System

I32, C81, J13

Abstract

This paper aims to apply the Community-Based Monitoring System (CBMS) methodology for analyzing multidimensional poverty among children. The child multidimensional poverty measured using CBMS data examines the nature and extent of deprivations of children in terms of nine (9) dimensions covering non-income and income measures of poverty. Aside from generating a child MPI using CBMS indicators at the local level, geospatial data is generated to show how the CBMS-MPI methodology can facilitate analysis of situation of children across sub-locations and how it can be used for more informed planning of appropriate interventions, and better targeted program implementation. Using CBMS data for 1 site in the Philippines, this study demonstrates how local level data and relevant disaggregation of poverty indicators can facilitate better monitoring and diagnosis of situation of poor children and guide local planning and program action for more comprehensive analysis and targeted interventions. The study shows how CBMS data can provide additional insights and information on the nature and extent of child poverty by age, sex, income class, sub-location, and by characteristics of the households in which they belong to. CBMS poverty indicators supplement use of aggregate measure of child poverty such as MPI and enable more in depth analysis of specificities of deprivation and vulnerabilities experienced by children. The study provides insights and local evidence to research questions on who are the children living in poverty? What are the extent and nature of deprivations that poor children experience? Limitations in the national statistical system to generate the necessary disaggregated and timely data for local planning is a major challenge in addressing child poverty and exclusion. The adoption and use of CBMS can provide the necessary data to fill in existing information gaps for monitoring child poverty, ensuring the protection of child rights, and that the needs of children are not excluded in achieving sustainable development.

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