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Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

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

Publication Abstract

Soobader, M.J., Felicia B. LeClere, W. Hadden , and B. Maury . 2001. "Using aggregate geographic data to proxy individual socioeconomic status: does size matter?" American Journal of Public Health, 91(4): 632-636.

Objectives. 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.

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