Evidence map›Paper›PMID 31944458›Full record

ArticleHealth economics2020

The intergenerational transmission of health in the United States: A latent variables analysis.

Timothy J Halliday, Bhashkar Mazumder, Ashley Wong

Abstract read
In one paragraph

Article in Health economics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Timothy J HallidayDepartment of Economics, University of Hawai'i at Mānoa IZA, Honolulu, Hawai'i.ORCID 0000-0003-1683-5726
Bhashkar MazumderResearch Department, Federal Reserve Bank of Chicago, Chicago, Illinois.
Ashley WongDepartment of Economics, Northwestern University, Evanston, Illinois.

Funding

THE IMPACT OF CHILDHOOD HEALTH ON ADULT HEALTH ANDECONOMICS STATUSP01AG029409 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREEDMAN, VICKI A. · 2007 to 2017
$16.7M
NIA NIH HHS P01 AG029409
6 · The paper itself

Abstract

Social scientists have long documented that many components of socioeconomic status such as income and education have strong ties across generations. However, health status, arguably a more critical component of welfare, has largely been ignored. We fill this void by providing the first estimates of the Intergenerational Health Association (IHA) that are explicitly based on a nonlinear latent variable model. We develop an estimation procedure for a nonlinear model with categorical outcomes in which the latent index is a mixed linear model and contains covariates that might not vary within cross-sectional units. Adjusting for only age and gender, we estimate an IHA of 0.3 indicating that about one third of a parent's health status gets transmitted to their children. Once we add additional mediators to the model, we show that education, and particularly children's education, is an important transmission channel in that it reduces the IHA by one third. Finally, we show that estimates of the IHA from nonlinear models are only moderately higher than those from linear models, whereas rank-based mobility estimates are identical.

Indexed as

Health StatusIncomeChildCross-Sectional StudiesEducational StatusHumansSocioeconomic FactorsUnited Stateshealthinequalitylatent variablemobility

Identifiers

PMID31944458
PMCPMC7899723

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.