IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/21175.html

Unconditional Cash Transfers: A Bayesian Meta-Analysis of Randomized Evaluations in Low and Middle Income Countries

Author

Listed:
  • Crosta, Tommaso
  • Karlan, Dean
  • Ong, Finley
  • Ruschenpohler, Julius
  • Udry, Christopher

Abstract

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we find strong and positive average treatment effects on ten of thirteen outcomes: monthly household total and food consumption, monthly income, labor supply, school enrollment, food security, psychological well-being, total assets, financial assets, and children height-for-age. We examine seven specific theoretical and policy hypotheses, such as presence of savings frictions, dynamic effects, curvature of marginal returns, targeting effects, “nudge†effects, labor supply elasticity and related “dependency†theories, and contextual heterogeneity.

Suggested Citation

  • Crosta, Tommaso & Karlan, Dean & Ong, Finley & Ruschenpohler, Julius & Udry, Christopher, 2026. "Unconditional Cash Transfers: A Bayesian Meta-Analysis of Randomized Evaluations in Low and Middle Income Countries," CEPR Discussion Papers 21175, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:21175
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP21175
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:21175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CEPR (email available below). General contact details of provider: https://cepr.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.