title: Using aggregate geographic data to proxy individual socioeconomic status: does size matter?
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  Researchers should be cautious about use of proxy measurement of individual SES even if proxies are calculated from small geographic units.
authors: Department of Pediatrics, University of Rochester, Rochester, NY, USA.
authors: M
authors: M
authors: Soobader
authors: F B
authors: FB
authors: LeClere
authors: W
authors: W
authors: Hadden
authors: B
authors: B
authors: Maury
mesh_terms: D003625:Data Collection; D005843:Geography; D006305:Health Status Indicators; D006801:Humans; D012107:Research Design; D015983:Selection Bias; D012923:Social Class; D014481:United States