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Frey and colleagues outline 10 trends showing scale of America's demographic transitions

Starr says surveys intended to predict recidivism assign higher risk to poor

Prescott and colleagues find incidence of noncompetes in U.S. labor force varies by job, state, worker education

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ISR addition wins LEED Gold Certification

Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

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

Next Brown Bag

Mon, March 9
Luigi Pistaferri, Consumption Inequality and Family Labor Supply

psc brown bag iconPredicting Survival of Older Adults: Findings from a Biosocial Survey

Noreen Goldman (Office of Population Research and Woodrow Wilson School of Public and International Affairs, Princeton University)

09/10/2012, at noon in room 6050 ISR-Thompson.

Researchers frequently use statistical models that incorporate social and demographic covariates to predict survival. Based on data from a biosocial survey in Taiwan, I explore the extent to which mortality prediction improves with the inclusion in such models of non-standard biological and clinical parameters; measures of physical performance; and global health ratings made by interviewers and physicians. Some surprising results emerge.


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