HRS Bibliography

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Bianchi SM. Family Data and Research in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14(3):Article 10.
Bianchi SM. Family Data and Research in the Health and Retirement Study (HRS). 2010.PDF icon Download PDF (71.25 KB)
Babiarz PD, Robb CA, Woodyard A. Family Decision Making and Resource Protection Adequacy. The Journal of Consumer Affairs. 2012;46(1):1.
Patterson SE, Margolis R, Verdery AM. Family embeddedness and older adult mortality in the United States. Population Studies. 2020;74(3):415-435. doi:10.1080/00324728.2020.1817529.
Bures RM. Family, Employment Status, and Residential Mobility in the Health and Retirement Study. University of Michigan; 1996.
Caldera S. Family, Income, & Medicaid Policy: Multinomial Logistic Model of Long-Term Care Decisions. 2018.
Mellencamp KA. FAMILY MATTERS: RELATIONSHIP DYNAMICS SURROUNDING THE DEATH OF A CHILD IN LATER LIFE. 2022;Ph.D.
National Institute on Aging. Family member availability predicts likelihood of unpaid care for people living with dementia. Featured Research.
Donnelly R, Umberson D, Pudrovska T. Family Member Death and Subjective Life Expectancy Among Black and White Older Adults. Journal of Aging and Health. 2020. doi:10.1177/0898264318809798.
http://www.ncbi.nlm.nih.gov/pubmed/30451061?dopt=Abstract
Bea MDoherty, Chy S. Family Proximity and CoResidence in Retirement Heterogeneity in Residential Changes Across Older Adults’ Care Contexts. Madison, WI: Center for Financial Security, University of Wisconsin-Madison; 2022.
Favreault M, Johnson RW. The Family, Social Security, and the Retirement Decision. In: Favreault M, Sammartino F, C. Steuerle E, eds. Social Security and the Family: Addressing Unmet Needs in an Underfunded System. Social Security and the Family: Addressing Unmet Needs in an Underfunded System. Washington, DC: The Urban Institute Press; 2002:295-329.
Poterba JM, Venti SF, Wise DA. Family Status Transitions, Latent Health, and the Post-Retirement Evolution of Assets. Cambridge, MA: National Bureau of Economic Research; 2010. doi:10.3386/w15789.
Flippen C, Tienda M. Family Structure and Economic Well-Being of Black, Hispanic, and White Pre-Retirement Adults. Princeton: Princeton University; 1998.
Glaser K, Grundy EMD, Henretta JC, Murphy MJ. Family Structure and Intergenerational Transfers: A Comparison of 55-63 Year Olds in the U.S. and Britain. University of Michigan; 1996.
Henretta JC, Wolf DA, Van Voorhis MF, Soldo BJ. Family structure and the reproduction of inequality: Parents' contribution to children's college costs. Soc Sci Res. 2012;41(4):876-87. doi:10.1016/j.ssresearch.2012.02.008.
http://www.ncbi.nlm.nih.gov/pubmed/23017857?dopt=Abstract
Soldo BJ, Hill MS. Family Structure and Transfer Measures in the Health and Retirement Study: Background and Overview. Journal of Human Resources. 1995;30(0 Suppl.):S108-37. doi:10.2307/146280.
Schaller J, Eck C. Family Support in Hard Times: Dynamics of Intergenerational Exchange after Adverse Events. Cambridge, MA: National Bureau of Economic Research; 2020. doi:10.3386/w28295.
Johnson RW, LoSasso AT. Family Support of the Elderly and Female Labor Supply: Tradeoffs Among Caregiving, Financial Transfers, and Work. The Urban Institute; 2000.
Kim YK. Family Ties and Subjective Aging in Later Life. Gerontology. 2020;Doctor of Philosophy.
Ramanan VK, Nho K, Shen L, et al. FASTKD2 is associated with memory and hippocampal structure in older adults. Mol Psychiatry. 2015;20(10):1197-204. doi:10.1038/mp.2014.142.
http://www.ncbi.nlm.nih.gov/pubmed/25385369?dopt=Abstract
Elias M. Fatter women end up with thinner wallets. USA Today. 2000:9D.
Liu H, Wang Z, Zou L, et al. Favourable Lifestyle Protects Cognitive Function in Older Adults With High Genetic Risk of Obesity: A Prospective Cohort Study. Frontiers in Molecular Neuroscience. 2022;15:808209. doi:10.3389/fnmol.2022.808209.
McFall BHelppie, Sonnega A. Feasibility and reliability of automated coding of occupation in the Health and Retirement Study. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan; 2018:1-19.
Kim S, Fuselier J, Welsh DA, Cherry KE, Myers L, S Jazwinski M. Feature selection algorithms enhance the accuracy of frailty indexes as measures of biological age. The Journals of Gerontology, Series A . 2021;76(8):1347-1355. doi:10.1093/gerona/glab018.
Cunningham CR, Engelhardt GV. Federal Tax Policy, Employer Matching, and 401(k) Saving: Evidence from HRS W-2 Records. National Tax Journal. 2002;LV(3):617-645.