HRS Bibliography

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Sass SA, Sun W, Webb A. When Should Married Men Claim Social Security Benefits?. Boston: Center for Retirement Research at Boston College; 2008.
M. Glymour M, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005;162(3):267-78. doi:10.1093/aje/kwi187.
http://www.ncbi.nlm.nih.gov/pubmed/15987729?dopt=Abstract
Ng CD, Weiss J. What your genes can (and can't) tell you about BMI and diabetes. Biodemography and Social Biology. 2020;66(1):40-49. doi:10.1080/19485565.2020.1806032.
Gustman AL, Steinmeier TL. What People Don't Know About Their Pensions and Social Security: An Analysis Using Linked Data from the Health and Retirement Study. In: Gale WG, Shoven JB, Warshawsky MJ, eds. Public Policies and Private Pensions. Public Policies and Private Pensions. Washington, DC: Brookings Institution; 2003:57-125.
Arapakis K, Wettstein G. What Matters for Annuity Demand: Objective Life Expectancy or Subjective Survival Pessimism?. Center for Retirement Research at Boston College; 2023.
Lang IA, Guralnik JM, Wallace RB, Meltzer D. What Level of Alcohol Consumption Is Hazardous for Older People? Functioning and Mortality in U.S. and English National Cohorts. Journal of the American Geriatrics Society. 2007;55(1):49-. doi:10.1111/j.1532-5415.2006.01007.x.
Dushi I, Friedberg L, Webb A. What Is The Impact Of Foreclosures On Retirement Security?. Center for Retirement Research at Boston College; 2010.
Coe NB, Wu AYanyuan. What Impact Does Old-Age Pension Receipt Have on the Use of Public Assistance Programs Among the Elderly?. In: Carcillo S, Immervoll H, Jenkins SP, Königs S, Tatsiramos K, eds. Safety Nets and Benefit Dependence. Safety Nets and Benefit Dependence. Bingley, UK: Emerald Group Publishing; 2014:259-290.
Friedberg L, Sun W, Webb A. What Effect Do Time Constraints Have on the Age of Retirement?. Boston: Center for Retirement Research at Boston College; 2008.
Poterba JM, Venti SF, Wise DA. What Determines End-of-Life Assets? A Retrospective View.; 2015.
McDade TW, Williams S, J Snodgrass J. What a drop can do: dried blood spots as a minimally invasive method for integrating biomarkers into population-based research. Demography. 2007;44(4):899-925. doi:10.1353/dem.2007.0038.
http://www.ncbi.nlm.nih.gov/pubmed/18232218?dopt=Abstract
Poterba JM, Venti SF, Wise DA. Were They Prepared for Retirement? Financial Status at Advanced Ages in the HRS and AHEAD Cohorts. National Bureau of Economic Research; 2012.
Willroth EC, Pfund GN, McGhee C, Rule P. Well-Being as a Protective Factor Against Cognitive Decline and Dementia: A Review of the Literature and Directions for Future Research. The Journals of Gerontology: Series B. 2023;78:765-776. doi:10.1093/geronb/gbad020.
Wei S. Weight Loss, Body Weight Variability Associated With Faster Cognitive Decline.
Forman-Hoffman VL, Yankey JW, Hillis SL, Wallace RB. Weight and depressive symptoms in older adults: direction of influence?. J Gerontol B Psychol Sci Soc Sci. 2007;62(1):S43-51. doi:10.1093/geronb/62.1.s43.
http://www.ncbi.nlm.nih.gov/pubmed/17284566?dopt=Abstract
Smith JP, Willis RJ. Wealth, Work, and Health: Innovations in Measurement in the Social Sciences: Essays in honor of F. Thomas Juster. Ann Arbor, MI: University of Michigan Press; 1999.

V

Kim ES, Whillans AV, Lee M, Chen Y, VanderWeele TJ. Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach. American Journal of Preventive Medicine. 2020;59(2):176-186.
Brown MT, Wilmoth JM, London AS. Veteran Status and Men s Later-Life Cognitive Trajectories: Evidence from the Health and Retirement Study. Journal of Aging and Health. 2014. doi:10.1177/0898264314534893.
Crimmins EM, Faul J, Thyagarajan B, Weir DR. Venous Blood Collection and Assay Protocol in the 2016 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (1.78 MB)
Deshpande SK, Bai R, Balocchi C, Starling JE, Weiss J. VC-BART: Bayesian trees for varying coefficients. Ithaca, NY: Cornell University; 2020.
Skirbekk V, Loichinger E, Weber D. Variation in cognitive functioning as a refined approach to comparing aging across countries. Proc Natl Acad Sci U S A. 2012;109(3):770-4. doi:10.1073/pnas.1112173109.
http://www.ncbi.nlm.nih.gov/pubmed/22184241?dopt=Abstract
M. Lawton P, Moss M, Hoffman C, Kleban MH, Ruckdeschel K, Winter L. Valuation of life: a concept and a scale. J Aging Health. 2001;13(1):3-31. doi:10.1177/089826430101300101.
http://www.ncbi.nlm.nih.gov/pubmed/11503845?dopt=Abstract
Warren JRobert, Lee M, Osypuk TL. The Validity and Reliability of Retrospective Measures of Childhood Socioeconomic Status in the Health and Retirement Study: Evidence from the 1940 U.S. Census. The Journals of Gerontology, Series B . 2022;77(9):1661-1673. doi:10.1093/geronb/gbac045.
Wilson S. The validation of the Texas revised inventory of grief on an older Latino sample. J Soc Work End Life Palliat Care. 2006;2(4):33-60. doi:10.1300/j457v02n04_03.
Mullins M, Kler JS, Eastman M, Kabeto MU, Wallner LP, Kobayashi LC. Validation of self-reported incident cancer diagnoses in the U.S. Health and Retirement Study: A tool for population-based cancer and aging research. Journal of Clinical Oncology. 2021;39(28_suppl):312. doi:10.1200/JCO.2020.39.28_suppl.312.