This is an application for a competing renewal of the five-year cooperative agreement with the National Institute on Aging, to design and collect data for a Health and Retirement Study (HRS). In the first five-year period, we designed the baseline survey for the birth cohorts of 1931-1941, screened 70,000 households to identify the eligible birth cohorts and their spouses, collected baseline data on some 12.6 thousand persons in some 7,700 households, collected data for the first follow-up survey (Wave 2), and collected employer data on health insurance and pension plans. This application covers years 6-10 of the HRS; it includes the design and data collection of two additional follow-up surveys for the original cohort (Waves 3 and 4), the introduction of a new cohort (those born 1942-1947 and their spouses), and an employer survey of health insurance and pension plans for the new cohort. In the design of Wave 2, now in the field, we concentrate on updating various state conditions that are inherently discrete (marital status, housing status, family composition, disease conditions, disability status), remeasuring respondent characteristics that are inherently continuous (income flows, transfers, expenditures, net worth functional health, expectations and cognitive functioning), and reconstructing labor market status on a month-by-month basis over the interval between Waves 1 and 2. With these data, analysts can begin to assess the dynamics of retirement decisions. The design of Waves 3 and 4 is expected to follow closely on the design of Wave 2. The resulting dataset will permit analysts to estimate a variety of models designed to explain these crucial labor market outcomes, and to begin to understand the determinants of retirement and disability status in the environment of the 1990s. In addition, we propose to add a new cohort in 1998, covering the birth cohorts of 1942-1947. The introduction of new cohorts on a systematic basis is a critical part of the design for a study like HRS, and will enable analysts to understand the evolution of retirement decisions and the economic and health consequences of aging throughout the critical next few decades. Finally, we describe ways to improve the coordination between HRS and the related study of Asset and Health Dynamics Among the Oldest Old (AHEAD). The two studies should be tightly linked together in terms of content, since in the long-run HRS households would be expected to phase into the AHEAD age-range and be interviewed with the AHEAD survey instrument. While the two studies have a quite different analytical focus at present, content decisions and survey strategy need to be closely coordinated.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01AG009740-08
Application #
2001361
Study Section
Special Emphasis Panel (ZAG1-CAG-7 (50))
Project Start
1990-09-25
Project End
1999-12-31
Budget Start
1997-09-30
Budget End
1997-12-31
Support Year
8
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Biostatistics & Other Math Sci
Type
Organized Research Units
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Jadhav, Apoorva; Weir, David (2018) Widowhood and Depression in a Cross-National Perspective: Evidence from the United States, Europe, Korea, and China. J Gerontol B Psychol Sci Soc Sci 73:e143-e153
DiPrete, Thomas A; Burik, Casper A P; Koellinger, Philipp D (2018) Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data. Proc Natl Acad Sci U S A 115:E4970-E4979
Ornstein, Katherine A; Garrido, Melissa M; Siu, Albert L et al. (2018) Impact of In-Hospital Death on Spending for Bereaved Spouses. Health Serv Res 53 Suppl 1:2696-2717
Schwartz, Ella; Khalaila, Rabia; Litwin, Howard (2018) Contact frequency and cognitive health among older adults in Israel. Aging Ment Health :1-9
Foverskov, Else; Glymour, M Maria; Mortensen, Erik L et al. (2018) Education and Cognitive Aging: Accounting for Selection and Confounding in Linkage of Data From the Danish Registry and Survey of Health, Ageing and Retirement in Europe. Am J Epidemiol 187:2423-2430
Schoeni, Robert F; Freedman, Vicki A; Langa, Kenneth M (2018) Introduction to a Supplement on Population Level Trends in Dementia: Causes, Disparities, and Projections. J Gerontol B Psychol Sci Soc Sci 73:S1-S9
Crimmins, Eileen M; Saito, Yasuhiko; Kim, Jung Ki et al. (2018) Educational Differences in the Prevalence of Dementia and Life Expectancy with Dementia: Changes from 2000 to 2010. J Gerontol B Psychol Sci Soc Sci 73:S20-S28
Abeliansky, Ana Lucia; Strulik, Holger (2018) How We Fall Apart: Similarities of Human Aging in 10 European Countries. Demography 55:341-359
Yashin, Anatoliy I; Fang, Fang; Kovtun, Mikhail et al. (2018) Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol 107:148-160
Carr, Ewan; Fleischmann, Maria; Goldberg, Marcel et al. (2018) Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohorts. Occup Environ Med 75:369-377

Showing the most recent 10 out of 852 publications