The Panel Study of Income Dynamics (PSID) is the world's longest running nationally representative panel survey. With nearly 40 years of data on the same families and their descendents, the PSID can justly be considered a cornerstone of the data infrastructure for empirically-based social science research. The long panel, genealogical blood-line, and broad content of the data represent a unique and powerful opportunity to study evolution and change within the same families over a considerable time span. The PSID now contains nearly 40 years of prospective life histories of families with respondents who have become parents, grandparents, and now great-grandparents, as well as over 4,000 respondents who have died since the survey began. These data are being used to support increasingly complex models of outcomes for individuals over the life cycle, for relatives within the same generation of a given family (e.g., sibling models), and for individuals across multiple generations of the same family (e.g., parent-adult child models). These models will facilitate the use of innovative research strategies to yield a greater scientific understanding of ways to promote individual health and well-being. With continued enhancements to the PSID Online Data Center, which allows users to create customized data sets and codebooks, we anticipate that the PSID's data archive will continue to be one of the most widely used data sets.
The specific aims of the application are to collect, process, and disseminate data on health, wealth, and pensions in the PSID for three waves: 2007, 2009, and 2011. The continued collection of these data will promote scientific advances in the effects of early and mid-life circumstances on health, economic well-being, and mortality in later life. These data will support research on the pre-retirement period, the retirement transition, and post-retirement health and economic dynamics for numerous birth cohorts. The application also proposes a thorough assessment of the value and feasibility of collecting biomarkers in the PSID. By adding significantly to the nation's scientific knowledge base in the area of health and aging, these specific aims strongly match NIH's mission to support research on the process of human growth and development, extend healthy life, and reduce the burdens of illness and disability. With continued collection of these data, the PSID will be the only survey on life course and multigenerational health and wealth in a long-term panel representative of the full U.S. population.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Project (R01)
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Social Sciences and Population Studies Study Section (SSPS)
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Phillips, John
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University of Michigan Ann Arbor
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Ann Arbor
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Andreski, Patricia; Li, Geng; Samancioglu, Mehmet Zahid et al. (2014) Estimates of Annual Consumption Expenditures and Its Major Components in the PSID in Comparison to the CE. Am Econ Rev 104:132-135
Rank, Mark R; Hadley, Herbert S; Williams, James Herbert (2014) A LIFE COURSE APPROACH TO UNDERSTANDING POVERTY AMONG OLDER AMERICAN ADULTS. Fam Soc 91:337-341
Charles, Kerwin Kofi; Danziger, Sheldon; Li, Geng et al. (2014) The Intergenerational Correlation of Consumption Expenditures. Am Econ Rev 104:136-140
McGonagle, Katherine A (2013) Survey Breakoffs in a Computer-Assisted Telephone Interview. Surv Res Methods 7:79-90
Schoeni, Robert F; Stafford, Frank; McGonagle, Katherine A et al. (2013) Response Rates in National Panel Surveys. Ann Am Acad Pol Soc Sci 645:60-87
McGonagle, Katherine A; Schoeni, Robert F; Couper, Mick P (2013) The Effects of a Between-Wave Incentive Experiment on Contact Update and Production Outcomes in a Panel Study. J Off Stat 29:261-276
McGonagle, Katherine; Couper, Mick; Schoeni, Robert F (2011) Keeping Track of Panel Members: An Experimental Test of a Between-Wave Contact Strategy. J Off Stat 27:319-338
Valerio, Melissa A; Andreski, Patricia M; Schoeni, Robert F et al. (2010) Examining the association between childhood asthma and parent and grandparent asthma status: implications for practice. Clin Pediatr (Phila) 49:535-41
Sastry, Narayan; McGonagle, Katherine; Schoeni, Robert F (2009) Introduction to the special issue on the scientific assessment of biomeasures in the Panel Study of Income Dynamics. Biodemography Soc Biol 55:113-7