HRS Bibliography

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Seligman B, Tuljapurkar S, Rehkopf D. 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. Ann Arbor, MI: The University of Michigan, Michigan Retirement Research Center; 2011.
Hill PL, Beck ED, Jackson JJ. Maintaining Sense of Purpose Following Health Adversity in Older Adulthood: A Propensity Score Matching Examination. The Journals of Gerontology: Series B . 2021;76(8):1574-1579. doi:10.1093/geronb/gbab002.
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. Am J Obstet Gynecol. 2009;201(5):490.e1-7. doi:10.1016/j.ajog.2009.05.047.
http://www.ncbi.nlm.nih.gov/pubmed/19716547?dopt=Abstract
Mojtabai R, Olfson M. Major depression in community-dwelling middle-aged and older adults: prevalence and 2- and 4-year follow-up symptoms. Psychol Med. 2004;34(4):623-34. doi:10.1017/S0033291703001764.
http://www.ncbi.nlm.nih.gov/pubmed/15099417?dopt=Abstract
Das A. Major discrimination experiences, education, and genes. Journal of Aging and Health. 2020;32(7-8):753-763. doi:10.1177/0898264319851661.
Roberts MEwing. Making Ends Meet in a Social Context: Grandparent Childcare during the 2008 Recession, Debt of the Poor and Financial Innovation, and Relative Poverty's Effect on Election Outcomes. Economics. 2018;PhD:209.
Hyland M. Making it Work: Transitions From Physically Demanding Employment in Advanced Age. Ithaca, NY: Cornell University; 2020.
Lu P, Kong D, Shelley M. Making the Decision to Move to a Nursing Home: Longitudinal Evidence From the Health and Retirement Study. Journal of Applied Gerontology. 2020. doi:https://doi.org/10.1177/0733464820949042.
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. doi:https://doi.org/10.1080/00036840600707217.
Huang ES. Management of diabetes mellitus in older people with comorbidities. BMJ. 2016;353:i2200. doi:10.1136/bmj.i2200.
http://www.ncbi.nlm.nih.gov/pubmed/27307175?dopt=Abstract
Browning C. Managing retirement resources: evidence from the HRS. 2013;PhD.
Delavande A, Willis RJ. Managing the Risk of Life. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 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 RJ, 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.
Zubair S, Sinha SK. MARGINAL MODELS FOR LONGITUDINAL COUNT DATA WITH DROPOUTS. Journal of Statistical Research. 2020;54. doi:https://doi.org/10.47302/jsr.2020540102.
Altonji JG, Villanueva E. The Marginal Propensity to Spend on Adult Children. Cambridge, MA: The National Bureau of Economic Research; 2003. doi:10.3386/w9811.
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 BD. A marginal structural model approach to analyse work-related injuries: An example using data from the Health and Retirement Study. Injury Prevention. 2020. doi:10.1136/injuryprev-2018-043124.
http://www.ncbi.nlm.nih.gov/pubmed/31018941?dopt=Abstract
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.