Arbeitspapier

An Analysis of Sibling Correlations in Health Using Latent Variable Models

We investigate sibling correlations in health status using the Panel Study of Income Dynamics and Bayesian methods that allow us to estimate the covariance structure of a system of latent variable equations. Across a battery of outcomes, we estimate that between 50% and 60% of health status can be attributed to familial or neighborhood characteristics. Taking the principal component across all outcomes, we obtain a sibling correlation of about 53%. These estimates, which are larger than previous estimates of sibling correlations in health that rely on linear models, are more in-line with sibling correlations in income and suggest that health status, like other measures of socioeconomic success, is strongly influenced by family background. Therefore, efforts to improve the circumstances of families and communities may potentially lead to improved childhood health today and also reduce future health disparities.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 8672

Klassifikation
Wirtschaft
Health Behavior
Job, Occupational, and Intergenerational Mobility; Promotion
Thema
sibling correlations
intergenerational mobility
health
latent variable

Ereignis
Geistige Schöpfung
(wer)
Halliday, Timothy J.
Mazumder, Bhashkar
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Halliday, Timothy J.
  • Mazumder, Bhashkar
  • Institute for the Study of Labor (IZA)

Entstanden

  • 2014

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