Evidence map›Paper›PMID 28400516›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Community trust reduces myopic decisions of low-income individuals.

Jon M Jachimowicz, Salah Chafik, Sabeth Munrat, Jaideep C Prabhu, Elke U Weber

Registry-linked trialAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05879198 (Train Your Brain), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

NCT05879198 nacompletednot on this mapstarted 2023, after this paper: background citation

Train Your Brain: A Pilot Project to Improve Memory and Decision Making to Improve Outcomes Among Youth

TypeinterventionalSponsorHenry Ford Health SystemRan2023 to 2023Enrolled23ConditionsBehavior, HealthArmsComputer-based Intervention
3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
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  5. Review
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  8. Encouraging the resumption of economic activity after COVID-19: Evidence from a large scale-field experiment in China.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. A guaranteed immediate payout reduces impatience of financially constrained individuals.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
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  18. Changes in delay discounting, substance use, and weight status across adolescence.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020
    Article
  19. Deliberating trade-offs with the future.Nature human behaviour · 2020
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jon M JachimowiczColumbia Business School, Center for Decision Sciences, Columbia University, New York, NY 10025; jmj2183@columbia.edu.
Salah ChafikColumbia Business School, Center for Decision Sciences, Columbia University, New York, NY 10025.
Sabeth MunratResearch and Evaluation Division, BRAC, Dhaka 1212, Bangladesh.
Jaideep C PrabhuJudge Business School, University of Cambridge, Cambridge CB2 1AG, United Kingdom.
Elke U WeberWoodrow Wilson School, Andlinger Center for Energy & Environment, and Department of Psychology, Princeton University, Princeton, NJ 08544.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Why do the poor make shortsighted choices in decisions that involve delayed payoffs? Foregoing immediate rewards for larger, later rewards requires that decision makers (

Indexed as

Delay DiscountingSocial EnvironmentAdultBangladeshFemaleHumansMaleMiddle AgedPovertyYoung Adultcommunitydecision makingpoverty alleviationtemporal discountingtrust

Identifiers

PMID28400516
PMCPMC5448192

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.