HRS Bibliography

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Thesis

Yin N. Partial Benefits in the Social Security Disability Insurance Program: A Policy Alternative to Foster Work among People with Disability. 2011.
Cui Y. Parsimonious Covariate Selection for Interval Censored Data. Biostatistics. 2020;Doctor of Philosophy.

Report

Smith J, Ryan LH, Larkina M, Sonnega A, Weir DR. Psychosocial and Lifestyle Questionnaire 2006 - 2022. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2023.PDF icon Download PDF (1.43 MB)
Smith J, Fisher GG, Ryan LH, Clarke PJ, House J, Weir DR. Psychosocial and Lifestyle Questionnaire 2006 - 2010: Documentation Report. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan; 2013:62.
This has been replaced by a newer version of this report: https://hrs.isr.umich.edu/publications/biblio/9066
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Putra GNgurah Edi, Daly M, Sutin A, Steptoe A, Robinson E. The psychological legacy of past obesity and early mortality: evidence from two longitudinal studies.; 2023. doi:https://doi.org/10.31234/osf.io/3az65.
Holden KC, Kim J, Novak B. Psychological Adjustment To Widowhood: The Role Of Income, Wealth And Time. Society of Actuaries Pension Section Research Committee; 2010.
HRS Staff. Proxy Selection in the Health and Retirement Study. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2021.PDF icon Proxy selection in HRS.pdf (91.33 KB)
Burkhauser RV, Quinn JF. Pro-Work Policy Proposals for Older Americans in the 21st Century. Syracuse University, Maxwell School of Citizenship and Public Policy; 1997.
Jones RN. Protocols for Missing Data in HCAP.; Forthcoming.
Schimmel J, Stapleton D. Protecting the Household Incomes of Older Workers with Significant Health-Related Work Limitations in an Era of Fiscal Responsibility. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2010.
Fang C, Kapinos K. Prospective Social Security Wealth Measures of Pre-Retirees Wave 10. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (293.22 KB)
Myers GC, Muschkin CG. Prospective Retirement Migration. University of Michigan; 1993.
Gustman AL, Steinmeier TL. Projecting Behavioral Responses to the Next Generation of Retirement Policies. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2007.
Moore J, Mitchell OS. Projected Retirement Wealth and Savings Adequacy in the Health and Retirement Study. National Bureau of Economic Research; 1997. doi:10.3386/w6240.
Even W, Macpherson DA. Projected Retirement Income and the Preservation of Lump Sum Distributions. Report submitted to U.S. Department of Labor, Pension and Welfare Benefits Administration; 2001.
M. Peek K. Profile of Older Americans: Report One. Tampa, FL, The Florida Policy Exchange Center on Aging, University of South Florida; 1997.
Engelhardt GV, Eriksen MD, Greenhalgh-Stanley N. A Profile of Housing and Health Among Older Americans. Washington, DC, Research Institute for Housing America; 2013.
Wiener JM, Johnson RW. A Profile of Frail Older Americans and their Caregivers. Washington, DC, The Urban Institute; 2006.
Delavande A, Perry MM, Willis RJ. Probabilistic Thinking and Early Social Security Claiming. The University of Michigan, Michigan Retirement Research Center; 2006.
Cox D. Private transfers within the family: Mothers, fathers, sons and daughters. Boston: Boston College; 2002.
United States General Accounting Office. Private Pensions: Participants Need Information on Risks They Face in Managing Pension Assets at and during Retirement. Washington, DC, U.S. General Accounting Office; 2003.
Munnell AH, Sundén A. Private Pensions: Coverage and Benefit Trends. Center for Retirement Research at Boston College; 2001.
Crimmins EM, Hayward MD, Wray LA, Lu R. Prevalence and Incidence of Health Problems in the First Two Waves of the Health and Retirement Study.; 1995.
Delavande A, Rohwedder S, Willis RJ. Preparation for Retirement, Financial Literacy and Cognitive Resources. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2008.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.