Arbeitspapier

Encouragement and Distortionary Effects of Conditional Cash Transfers

Conditional cash transfer (CCT) programs aim to reduce poverty or achieve other social goals by making the transfers conditional upon the receivers' actions. Conditions are designed to encourage some desirable behavior that recipients might otherwise under-invest in. An unintended consequence of the conditionality may be to distort recipients' actions in ways that lower their welfare. The transfer size plays an important role in shaping such distortionary effects. In certain circumstances, a larger transfer increases distortion more than that it raises benefits from stronger encouragement, implying that (i) there is an optimal transfer size for CCTs, and (ii) unconditional cash transfers (UCTs) may be better than CCTs when the transfer amount is large. We illustrate a range of distortions arising from CCT programs around the world. We then introduce an experimental design that permits a test of this distortionary effect, and implement it in a cash transfer program conditional on seasonal labor migration in rural Indonesia. We find that when the transfer size exceeds the amount required for travel expenses, distortion increases and CCT program outcomes deteriorate.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 14326

Classification
Wirtschaft
Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
Economic Development: Human Resources; Human Development; Income Distribution; Migration
Particular Labor Markets: Public Policy
Subject
distortion
conditional cash transfers
seasonal migration

Event
Geistige Schöpfung
(who)
Bryan, Gharad
Chowdhury, Shyamal
Mobarak, Ahmed Mushfiq
Morten, Melanie
Smits, Joeri
Event
Veröffentlichung
(who)
Institute of Labor Economics (IZA)
(where)
Bonn
(when)
2021

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bryan, Gharad
  • Chowdhury, Shyamal
  • Mobarak, Ahmed Mushfiq
  • Morten, Melanie
  • Smits, Joeri
  • Institute of Labor Economics (IZA)

Time of origin

  • 2021

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