Evidence map›Paper›PMID 38282660›Full record

ArticleAdministration & society2021

Can Government Intervention Increase Volunteers and Donations? Analyzing the Influence of VISTA With a Matched Design.

Andrew Messamore, Pamela Paxton, Kristopher Velasco

Open access · greenAbstract read
In one paragraph

Article in Administration & society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 21% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Andrew MessamoreThe University of Texas at Austin, USA.ORCID 0000-0001-5771-7625
Pamela PaxtonThe University of Texas at Austin, USA.
Kristopher VelascoThe University of Texas at Austin, USA.
The University of Texas at Austin · US

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI HAYWARD, MARK D. · 2002 to 2016
$8.4M
Training Program in Population StudiesT32HD007081 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI Aprile Dawn Benner, Christy L. Erving · 1985 to 2026
$6.8M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849NICHD NIH HHS R24 HD042849NICHD NIH HHS T32 HD007081
6 · The paper itself

Abstract

The United States has long relied on private organizations to provide public services to poor communities. However, while the federal government's support of the civic sector through grants and contracts is well studied, little research investigates how it subsidizes voluntary organizations through national service programs, such as Volunteers in Service to America (VISTA). In this article, we assess whether nonprofits that receive VISTA members show higher levels of donations and volunteers than matched nonprofits that did not receive VISTA members in the years following the Great Recession. We find that nonprofits that participated in the VISTA program had higher numbers of volunteers 2 years after participation, suggesting that national service was effective at supporting local organizations and building local civic infrastructure during an economic recovery. We also follow VISTA receiving organizations from 2010 to 2016 in a longitudinal design, finding a robust relationship of VISTA service and volunteering. These findings suggest VISTA is a resource for organizations and invite further research on the relationship between national service and anti-poverty work.

Indexed as

donationsnonprofitspovertyVISTAvolunteering

Identifiers

PMID38282660
PMCPMC10817746
OpenAlexW3158657892

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.