Evidence map›Paper›PMID 30886101›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Variations of wealth resemblance by family relationship types in modern Chinese families.

C Y Cyrus Chu, Kamhon Kan, Jou Chun Lin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Absolute income mobility obscures marginalized children's disadvantages.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Differences between sons and daughters in the intergenerational transmission of wealth.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  3. QnAs with C. Y. Cyrus Chu.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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.

C Y Cyrus ChuInstitute of Economics, Academia Sinica, Taipei 11529, Taiwan; cyruschu@gate.sinica.edu.tw.ORCID 0000-0003-4180-6935
Kamhon KanInstitute of Economics, Academia Sinica, Taipei 11529, Taiwan.
Jou Chun LinDepartment of Economics, University of California, Davis, CA 95616.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For a long time, social scientists have used correlations in social status, measured by such characteristics as schooling, income, or occupation, across family members to capture family resemblance in social status. In this study, we use millions of records from a public registry to estimate the wealth correlations among Taiwanese kinship members, from the closest parent-child pairing to the farthest kinship ties, with only 1/32 genetic relatedness. Based on this wealth correlation, we present a complete picture of economic similarity among kin members. These correlations give us a better grasp of the hitherto obscure Chinese family structure than that of mechanical genetic relatedness. We obtain statistical evidence to support the following hypotheses: Family members' wealth resemblance to male egos is stronger than to female egos, wealth correlations are larger along patrilineal lines than along matrilineal counterparts, wealthy families have larger correlations within the nuclear family members but smaller correlations outside it, and adopted children have weaker wealth resemblance with close relatives.

Indexed as

EgoIncomeParent-Child RelationsRegistriesAsian PeopleFemaleHumansMaleSocioeconomic FactorsTaiwanfamily networkintergenerational wealth correlationkinship

Identifiers

PMID30886101
PMCPMC6452742

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.