Evidence map›Paper›PMID 40994728›Full record

ArticleJournal of marriage and the family2025

Early-life disadvantage and parent-to-child financial transfers.

Kent Jason Go Cheng

Abstract read
In one paragraph

Article in Journal of marriage and the family, 2025. 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
–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

0 citing papers in PubMed.

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

1 author.

Kent Jason Go ChengCenter for Healthy Aging, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-8931-4086

Funding

Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
Coordinating Center for the NIA Centers on the Demography and Economics of Aging and Alzheimer's Disease and Alzheimer's Related DementiasR24AG066588 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SONNEGA, AMANDA JANE · 2020 to 2024
$1.5M
NIA NIH HHS R24 AG066588NIA NIH HHS T32 AG049676
6 · The paper itself

Abstract

Objective: To determine (1) how parental childhood disadvantage is associated with parent-to-child financial transfers for schooling and other unspecified purposes and (2) whether the association holds when parental socioeconomic status (years of education, family income, wealth) is considered. Background: Cumulative inequality theory posits that early life disadvantage may not only adversely affect one's resource accumulation across the life course, but it may also shape one's ability to provide assistance to offspring. Method: Data from the Panel Study of Income Dynamics were used to estimate zero-inflated negative binomial regression models to predict the amount of parent-to-child transfers ( Results: Parents with 4+ disadvantages gave about $2200 less for schooling. Economic and environmental disadvantage lessened levels of school transfers, while environmental disadvantage decreased the odds of being a non-provider of other transfers. The disparity in transfer amounts generally narrowed when the mediating role of parental socioeconomic status was accounted for. Conclusion: Higher education has become one of the major mechanisms through which class stratification, social inequality, and health disparities ensue. Educational outcomes among current cohorts of young adults could have been shaped by the preceding generation's childhood through intergenerational exchanges.

Indexed as

childhoodeducationintergenerational relationshipsparent–child relationships

Identifiers

PMID40994728
PMCPMC12456452

What OpenQuestion holds

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LicenceCC BY-NC
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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.