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Michigan Center on the Demography of Aging

a PSC Affiliated Research Program

John Bound, Margaret Levenstein, Mary Beth Ofstedal, Vicki Freedman

This proposal requests funding for a P30 Center on the Demography and Economics of Health and Aging at the University of Michigan. Building on Michigan’s historical strengths in social science research, and aided by our existing NIA P30 aging center grant, the University of Michigan has become a leader in research on the demography and economics of aging. Over the past five years, Michigan has continued to attract new faculty specializing in aging research at both the junior and senior level, while at the same time recruiting established researchers already on campus into the field of aging. Research on aging has become a major focus of attention in core social science units on campus, including the Department of Economics, the Department of Sociology, the School of Public Health, the Population Studies Center (PSC), and the Survey Research Center (SRC). We are confident that this proposed P30 center grant, interacting with the strong portfolio of aging research currently in place, will lead to even greater advances in aging research at Michigan, and will also allow us to assist in the development of aging research nationally and internationally.



Michigan’s center will focus on the following scientific topics listed in the RFA:

+ trends in chronic disease and disability;

+ early and mid-life determinants of late-life health and well being;

+ race, ethnicity, and socioeconomic status;

+ work and retirement;

+ disease-specific factors, with focus on diabetes, HIV/AIDS, and dementia; and

+ social insurance including Medicare.

A central theme across these topics will be data collection and survey methodology. Accurate and rich data are the cornerstone to documenting patterns and trends in social and economic outcomes, and testing scientific hypotheses. Michigan has been a leader in placing great emphasis on designing innovative, high-quality, and typically large-scale data collections that are closely linked to scientific theory and foundations.

Country of Focus: USA

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