John Bound

Research Professor, Population Studies Center.
Coordinator, Economic Demography, Population Studies Center.
Faculty Associate, Survey Research Center.
Professor, Economics.

Ph.D., Economics, Harvard University

Dr. Bound studies economic, demographic, and policy influences on the labor force participation and health status of older people in the United States. His recent research has also included studies on racial differences in earnings, employment, and health and changes in the returns to higher education. His teaching centers on econometrics and labor economics.

TRENDS - Evaluating Trends in Old-Age Disability

Michigan Center on the Demography of Aging

jbound@umich.edu

734-763-2952

News & Announcements

Bound, Geronimus, et al. find estimates of decreasing longevity among low-SES whites sensitive to measures and interpretations

Select Aging Publications

Bound, John, Arline T. Geronimus, Javier Rodriguez, and Timothy A. Waidmann. 2016. "US Life Expectancy: The Authors Reply." Health Affairs, 35(3).

Ro, Annie Eun Young, Arline T. Geronimus, John Bound, Derek Griffith, and Gilbert Gee. 2016. "Educational gradients in five Asian immigrant populations: Do country of origin, duration and generational status moderate the education-health relationship?" Preventive Medicine Reports, 4: 338-343. PMCID: PMC4963251.

Bound, John, Arline T. Geronimus, Javier Rodriguez, and Timothy A. Waidmann. 2015. "Measuring Recent Apparent Declines In Longevity: The Role Of Increasing Educational Attainment." Health Affairs, 34(12): 2167-2173. PMCID: PMC4783133.

Bound, John, Arline T. Geronimus, Javier Rodriguez, and Timothy A. Waidmann. 2014. "The Implications of Differential Trends in Mortality for Social Security Policy."

More publications for John Bound...

Select Projects

Michigan Center on the Demography of Aging--Visualizing Age Standardized Death Rates Supplement (NIA)

Training Program in Causal Inference in Education Policy Research at the University of Michigan (Education, U.S. Department of )

Measurement Error in Population Health Inequity Research using Novel Biomeasures (NIA)