Evidence map›Paper›PMID 33283276›Full record

ArticleStudies in family planning2020

Cash Transfers and Contraceptive Use: A Regression Discontinuity Analysis.

Maria Carolina Velasco, Stavroula A Chrysanthopoulou, Omar Galárraga

Abstract read
In one paragraph

Article in Studies in family planning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maria Carolina VelascoMaria Carolina Velasco, Stavroula A. Chrysanthopoulou, Department of Biostatistics, Brown University School of Public Health, Providence, RI, 02903, USA.
Stavroula A ChrysanthopoulouMaria Carolina Velasco, Stavroula A. Chrysanthopoulou, Department of Biostatistics, Brown University School of Public Health, Providence, RI, 02903, USA.
Omar GalárragaOmar Galárraga, Department of Health Services Policy and Practice, Brown University School of Public Health, Providence, RI, 02903, USA.ORCID 0000-0002-9985-9266

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Spatial Analysis CoreR24HD041020 · NICHD · BROWN UNIVERSITY · PI FOSTER, ANDREW D. · 2001 to 2016
$7.4M
NIAID NIH HHS P30 AI042853NICHD NIH HHS P2C HD041020NICHD NIH HHS R24 HD041020
6 · The paper itself

Abstract

Conditional cash transfers (CCTs) have become important components of social protection policies in Latin America. By establishing coresponsibilities tied to health and education, CCTs may reduce poverty and encourage human capital investment. While CCT programs can have unintended effects on sexual and reproductive health outcomes, such effects have been mixed and poorly documented in South America. This study examines the impact of Ecuador's CCT program, Bono de Desarrollo Humano, on contraceptive behavior among women of childbearing age who are sexually active and do not wish to become pregnant. We analyze nationally representative data in a regression-discontinuity quasi-experimental design. Using an instrumental variable approach and a set of robustness checks, our study finds no significant effects of the CCT program on contraceptive use. Our results offer important considerations for the ongoing policy debate in South America regarding the effects of cash transfer programs on beneficiaries.

Indexed as

Contraception BehaviorContraceptive AgentsFemaleHumansLatin AmericaPovertyPregnancySexual BehaviorContraceptive Agents

Identifiers

PMID33283276
PMCPMC8011311

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.