Proxy Means Testing

Proxy means testing (PMT) is an indirect method of identifying poor households when their income or consumption cannot be reliably measured. It uses observable household characteristics to calculate a predicted welfare score, which serves as a proxy for economic well-being and determines eligibility for benefits.

How proxy means testing works

The administering authority collects information on characteristics that are easier to observe and verify than income, such as housing quality, assets, occupation, education, household composition and location.

• Weights are typically estimated from a representative household survey that links these characteristics with income or consumption.
• Each household receives a proxy score through a standard formula.
• Benefits are assigned using an eligibility cutoff, subject to programme rules and available resources.

Use in welfare targeting

PMT is useful where employment is informal, earnings fluctuate and reliable income records are unavailable. It can be cheaper and more uniform than individual income verification, while reducing case-by-case administrative discretion.

• India's Socio Economic and Caste Census 2011 recorded household characteristics for welfare targeting in rural areas.
• Its use of automatic inclusion, automatic exclusion and deprivation indicators reflects rule-based indirect identification, although it is not identical to every statistical PMT model.

Limitations and safeguards

A proxy score predicts average welfare imperfectly and may miss sudden unemployment, illness or other household shocks.

• Inclusion errors occur when relatively better-off households receive benefits.
• Exclusion errors occur when genuinely deprived households fail to qualify.
• Outdated databases, inaccurate responses and regional differences can weaken targeting accuracy.
• Periodic updating, transparent criteria, field verification and accessible grievance redress can reduce errors.