Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Krause says having religious friends leads to gratitude, which is associated with better health

Work by Bailey and Dynarski on growing income gap in graduation rates cited in NYT

Johnston says marijuana use by college students highest in 30 years

Highlights

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Susan Murphy named Distinguished University Professor

Next Brown Bag

Monday, Sep 22
Paula Fomby (Michigan), Family Complexity, Siblings, and Children's Aggressive Behavior at School Entry

Arline T. Geronimus photo

On the Validity of Using Census Geocode Characteristics to Proxy Individual Socioeconomic Characteristics

Publication Abstract

Geronimus, Arline T., John Bound, and Lisa Neidert. 1996. "On the Validity of Using Census Geocode Characteristics to Proxy Individual Socioeconomic Characteristics." Journal of the American Statistical Association, 91(434): 529-537.

Investigators of social differentials in health outcomes commonly augment incomplete microdata by appending socioeconomic characteristics of residential areas (such as median income in a zip code) to proxy for individual characteristics. But little empirical attention has been paid to how well this aggregate infromation serves as a proxy for the individual characteristics of interest. The authors build on recent work addressing the biases inherent in proxies and consider two health-related examples within a statistical framework that illuminates the nature and sources of biases. Data from the Panel Study of Income Dynamics and the National Maternal and Infant Health Survey are linked to census data. The authors assess the validity of using the aggregate census information as a proxy for individual information when estimating main effects and when controlling for potential confounding between socioeconomic and sociodemographic factors in measures of general health status and infant mortality. They find a general, but not universal, tendency for aggregate proxies to exaggerate the effects of micro-level variables and to do more poorly than micro-level variables at controlling for confounding. The magnitude and direction of these biases vary across samples, however. The authors' statistical framework and empirical findings suggest the difficulties in and limits to interpreting proxies derived from aggregate census data as if they were micro-level variables. The statistical framework that we outline for our study of health outcomes should be generally applicable to other situations where researchers have merged aggregate data with microdata samples.

Dataset(s): Panel Study of Income Dynamics (PSID): U.S., 1985. National Maternal and Infant Health Survey (NMIHS): U.S., 1988.

Licensed Access Link

Browse | Search : All Pubs | Next