National Household Targeting System for Poverty Reduction (NHTS-PR) is an information management system that identifies who and where the poor are. This makes available to national government agencies and other social protection stakeholders a pioneer database consisting of a comprehensive organization of information of the poor households nationwide.
The first of its kind in the Philippines, this database is used for the following:
1.) Analyzing who and where the poor are
2.) Focus targeting of social protection programs to the poor that reduces leakage or under-coverage
3.) Objectively identify beneficiaries of social protection programs of various government and non-government agencies, civil society and basic sectors.
The NHTS-PR was able to assess and subject to Proxy Means Test (PMT) 10,909,456 households in the 17 regions, 80 provinces, and 137 cities and 1,493 municipalities nationwide. Of these, 5,255,118 households were identified as poor.
In Field Office V, a total of 775,014 households were assessed and subjected to PMT in the six (6) provinces, seven (7) cities and 107 municipalities regionwide. Of these, 461,242 households were identified as poor.
RESULT OF HOUSEHOLD ASSESSMENTS in Region V
Proxy Means Test(PMT) is a statistical model that estimates household income using proxy variables included in the household assessment form (HAF).
Some of the variables used in the PMT are family composition, education of household members, housing conditions and access to basic services among others. These variables were sourced out from the Family Income and Expenditure Survey (FIES) and Labor Force Survey (LFS) of the National Statistics Office (NSO) and were tested to be good predictors of income.
Proxy Means Test(PMT) is a proven effective targeting mechanism in many Latin American Countries where the informal labor market is large and there are no information systems that allow verification of income for informal labor. The informal sector in the Philippines is apparently large and there is no way to accurately measure their income.
METHODOLOGY : TARGETING STEPS
Step 1 Geographical Targeting
Step 2 Household Assessment
Step 3 Data Validation & Finalization
Step 4 Report Generation & Sharing