Using aggregate geographic data to proxy individual socioeconomic status: does size matter?

This study assessed whether aggregate-level measures of socioeconomic status (SES) are less biased as proxies for individual-level measures if the unit of geographic aggregation is small in size and population. National Health Interview Survey and census data were used to replicate analyses that ide...

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Veröffentlicht in:American journal of public health (1971) 2001-04, Vol.91 (4), p.632-636
Hauptverfasser: Soobader, M, LeClere, FB, Hadden, W, Maury, B
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container_title American journal of public health (1971)
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creator Soobader, M
LeClere, FB
Hadden, W
Maury, B
description This study assessed whether aggregate-level measures of socioeconomic status (SES) are less biased as proxies for individual-level measures if the unit of geographic aggregation is small in size and population. National Health Interview Survey and census data were used to replicate analyses that identified the degree to which aggregate proxies of individual SES bias interpretations of the effects of SES on health. Ordinary least squares regressions on self-perceived health showed that the coefficients for income and education measured at the tract and block group levels were larger than those at the individual level but smaller than those estimated by Geronimus et al. at the zip code level. Researchers should be cautious about use of proxy measurement of individual SES even if proxies are calculated from small geographic units.
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identifier ISSN: 0090-0036
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source MEDLINE; PAIS Index; Business Source Complete; Applied Social Sciences Index & Abstracts (ASSIA); EBSCOhost Education Source; PubMed Central; Alma/SFX Local Collection
subjects Aggregate level data
Aggregates
Bias
Biological and medical sciences
Census
Censuses
Data Collection
Demographics
Education
Educational attainment
Epidemiology
Estimates
General aspects
Geography
Health
Health Status Indicators
Hispanic people
Humans
Medical sciences
Methodology
Postal codes
Proxies
Public health
Public health. Hygiene
Public health. Hygiene-occupational medicine
Research Design
Selection Bias
Social Class
Socioeconomic factors
Socioeconomic status
United States
USA
Variables
title Using aggregate geographic data to proxy individual socioeconomic status: does size matter?
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