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Cash Transfer Evaluation

Also known as: CCT/UCT Impact Evaluation, Conditional Cash Transfer Evaluation, Cash Transfer Impact Assessment, Social Cash Transfer Evaluation

OriginatorPROGRESA/Oportunidades (Mexico); Santiago Levy; World Bank evaluation programmesYear1997Sources2Related methods8

Cash transfer evaluation is the body of impact-evaluation practice used to measure the effects of giving money directly to poor households — conditional on behaviours such as school enrolment and clinic visits (CCTs) or unconditional (UCTs) — on consumption, schooling, nutrition, health, and broader welfare. Pioneered by Mexico's PROGRESA/Oportunidades programme in the late 1990s, which built a randomised phase-in into its rollout, the field has produced some of the most influential causal evidence in development economics and now spans dozens of countries and hundreds of studies.

Key highlights

  • Cash transfers are among the most rigorously evaluated development interventions, with experimental and quasi-experimental evidence from many countries.
  • Programme rollouts often supply natural identification — randomised phase-in or proxy-means eligibility cutoffs — yielding credible causal estimates.
  • Direct measurement of consumption, schooling, and health allows transparent cost-effectiveness comparison against in-kind and other interventions.
  • Comparing conditional and unconditional arms isolates the marginal value of conditions, informing a central policy debate.

Intuition

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How it works

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When to use it

Use cash transfer evaluation when assessing whether a social-protection programme delivers its intended welfare gains, when weighing conditional against unconditional designs, or when calibrating transfer size and targeting for scale-up. It is most powerful where the rollout offers an experimental phase-in or a sharp eligibility threshold suitable for regression discontinuity. It is less informative for programmes already at saturation coverage (no comparison group), for very long-run human-capital effects that require multi-decade follow-up, and for general-equilibrium effects on local prices and labour markets that household-level designs cannot capture.

Strengths & limitations

Strengths
  • Cash transfers are among the most rigorously evaluated development interventions, with experimental and quasi-experimental evidence from many countries.
  • Programme rollouts often supply natural identification — randomised phase-in or proxy-means eligibility cutoffs — yielding credible causal estimates.
  • Direct measurement of consumption, schooling, and health allows transparent cost-effectiveness comparison against in-kind and other interventions.
  • Comparing conditional and unconditional arms isolates the marginal value of conditions, informing a central policy debate.
Limitations
  • Household-level designs typically miss general-equilibrium effects such as local price inflation and labour-market spillovers.
  • Regression discontinuity identifies the effect only locally, near the eligibility cutoff, and may not generalise to the very poorest who are well below it.
  • Short evaluation horizons capture take-up and intermediate outcomes but rarely the long-run human-capital and intergenerational effects that justify the programmes.
  • Conditions' effects are hard to separate from the income effect without an explicit unconditional comparison arm.

Common pitfalls

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Applications

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Frequently asked

What is the difference between conditional and unconditional cash transfers?

Conditional cash transfers (CCTs) pay households on the condition that they undertake specified behaviours — typically sending children to school and attending health check-ups — while unconditional cash transfers (UCTs) impose no such requirements. CCTs aim to build human capital and overcome behavioural or informational barriers, but carry monitoring and exclusion costs. Evidence such as Baird, McIntosh, and Özler (2011) shows conditions can raise schooling more than pure cash, while UCTs may better protect the most vulnerable who fail conditions; the optimal choice depends on objectives and capacity.

Why is regression discontinuity well suited to cash transfer evaluation?

Many transfer programmes assign eligibility using a continuous proxy-means score with a sharp cutoff: households below a poverty threshold qualify, those above do not. Families just on either side of the cutoff are nearly identical in characteristics, so comparing their outcomes isolates the causal effect of the transfer locally at the threshold. The design requires that the score cannot be precisely manipulated around the cutoff, a condition that can be tested by examining the density of the running variable.

Do cash transfers make people work less or become dependent?

A large body of evidence finds little support for the fear that transfers reduce adult labour supply or create dependency; reviews of multiple programmes (including a well-known multi-country study) show no systematic reduction in work among working-age adults, with reductions concentrated among the elderly and child labour. Recipients commonly invest part of transfers in productive assets and businesses. Concerns about local price inflation and spillovers are more empirically grounded and are increasingly addressed with saturation-design evaluations.

Sources

  1. 1.
    Fiszbein, A., & Schady, N. (2009). Conditional Cash Transfers: Reducing Present and Future Poverty. World Bank Policy Research Report. Washington, DC: World Bank.
    ISBN 9780821373521
  2. 2.
    Baird, S., McIntosh, C., & Özler, B. (2011). Cash or Condition? Evidence from a Cash Transfer Experiment. Quarterly Journal of Economics, 126(4), 1709–1753.

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ScholarGate. (2026, June 22). Cash Transfer Evaluation. ScholarGate. https://scholargate.app/development-studies/cash-transfer-evaluation