HRS Bibliography

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Seligman B, Tuljapurkar S, Rehkopf DH. Machine learning approaches to the social determinants of health in the Health and Retirement study. SSM Popul Health. 2018;4:95-99. doi:10.1016/j.ssmph.2017.11.008.
http://www.ncbi.nlm.nih.gov/pubmed/29349278?dopt=Abstract
Pare G, Mao S, Deng WQ. A machine-learning heuristic to improve gene score prediction of polygenic traits. Scientific Reports. 2017;7(1):12665. doi:10.1038/s41598-017-13056-1.
http://www.ncbi.nlm.nih.gov/pubmed/28979001?dopt=Abstract
Sevak P, Schmidt L. Macroeconomic Conditions and Updating of Expectations by Older Americans. The University of Michigan, Michigan Retirement Research Center; 2011.
Xiang X, Leggett AN, Himle JA, Kales HC. Major Depression and Subthreshold Depression among Older Adults Receiving Home Care. American Journal of Geriatric Psychiatry. 2018;26(9):939-949. doi:10.1016/j.jagp.2018.05.001.
http://www.ncbi.nlm.nih.gov/pubmed/29884541?dopt=Abstract
Melville JL, Fan M-Y, Rau H, Nygaard IE, Katon WJ. Major Depression and Urinary Incontinence in Women: Temporal associations in an epidemiologic sample. American Journal of Obstetrics and Gynecology. 2009;201(5):490.e1-7.
Mojtabai R, Olfson M. Major depression in community-dwelling middle-aged and older adults: Prevalence and 2- and 4-year follow-up symptoms. Psychological Medicine. 2004;34(4):623-634.
Miller TR. Mammography Use among Older Women in the Asset and Health Dynamics Among the Oldest Old (AHEAD) Study. 2007.
Xu X, Jensen GA. Managed Care and the Near-Elderly: Effects of plan enrollment on functionality. Applied Economics. 2007;39(16):2027.
Huang ES. Management of diabetes mellitus in older people with comorbidities. BMJ. 2016;353:i2200. doi:10.1136/bmj.i2200.
Browning CM. Managing retirement resources: evidence from the HRS. 2013;PhD.
Delavande A, Willis RJ. Managing the Risk of Life. The University of Michigan, Michigan Retirement Research Center; 2007.
Span P. Many Americans Try Retirement, Then Change Their Minds. The New York Times. https://www.nytimes.com/2018/03/30/health/unretirement-work-seniors.html. Published 2018.
Span P. Many Americans will need long-term care. Most won’t be able to afford it. The New York Times. https://www.nytimes.com/2019/05/10/health/assisted-living-costs-elderly.html. Published 2019.
Snider M. Many in 50s Face Hard Years. USA Today. 1993:A1.
Yu RP, Ellison NB, McCammon R, Langa KM. Mapping the Two Levels of Digital Divide: Internet Access and Social Network Site Adoption among Older Adults in the USA. Information, Communication and Society. 2016;19(10):1445-1464. doi:10.1080/1369118X.2015.1109695.
Altonji JG, Villanueva E. The Marginal Propensity to Spend on Adult Children. Cambridge, Massachusetts, NBER Working Paper 9811; 2003.
Altonji JG, Villanueva E, Department of Economics. The Marginal Propensity to Spend on Adult Children. New Haven, Connecticut, Yale University; 2004.
Baidwan NKaur, Gerberich SGoodwin, Kim H, Ryan AD, Church T, Capistrant B. A marginal structural model approach to analyse work-related injuries: An example using data from the Health and Retirement Study. Injury Prevention. Forthcoming. doi:10.1136/injuryprev-2018-043124.
http://www.ncbi.nlm.nih.gov/pubmed/31018941?dopt=Abstract
Pascual O. Marijuana may help older adults with health and productivity, Johns Hopkins study finds. San Francisco Chronicle.
Wong ES. Marital bargaining in the demand for life insurance: evidence from the Health and Retirement Study. Review of Economics of the Household. 2015;13(2):243-268.
Yu Y-L. Marital biography and chronic disease progression in mid- and late life. Sociology. 2016;Ph.D.:126.
Hughes MElizabeth, Waite LJ. Marital Biography and Health at Mid-Life. Journal of Health and Social Behavior. 2009;50(3):344-58.
Lin I-F, Brown SL, Hammersmith AM. Marital Biography, Social Security, and Poverty. Bowling Green, OH, National Center for Family and Marriage Research, Bowling Green University; 2015.
Lin I-F, Brown SL, Hammersmith AM. Marital Biography, Social Security Receipt, and Poverty. Research on Aging. 2017;39(1):86-110. doi:10.1177/0164027516656139.
Whisman MA, Robustelli BL, Sbarra DA. Marital disruption is associated with shorter salivary telomere length in a probability sample of older adults. Social Science and Medicine. 2016;157:60-67. doi:10.1016/j.socscimed.2016.03.029.