HRS Bibliography

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Engelhardt GV. Prescription drug coverage and drug utilization: New evidence from the HRS prescription drug study. Journal of Economic and Social Measurement. 2016;41(1):49-65. doi:10.3233/JEM-150418.
Ayyagari P. Prescription drug coverage and chronic pain. Int J Health Econ Manag. 2016;16(2):189-200. doi:10.1007/s10754-016-9185-5.
http://www.ncbi.nlm.nih.gov/pubmed/27878715?dopt=Abstract
Noone JH, Stephens C, Alpass FM. Preretirement Planning and Well-Being in Later Life: A Prospective Study. Research on Aging. 2009;31(3):295.
Engelhardt GV. Pre-Retirement Lump-Sum Pension Distributions and Retirement Income Security: Evidence from the Health and Retirement Study. National Tax Journal. 2002;55(4):665-.
Poterba JM, Venti SF, Wise DA. Preretirement Cashouts and Foregone Retirement Saving: Implications for 401(k) Asset Accumulation. In: Wise DA, ed. Themes in the Economics of Aging. Themes in the Economics of Aging. Chicago, IL: University of Chicago Press; 2001:23-58.
Sun W, Barboza G, Richman K. Preparing for the Future: Latinos' Financial Literacy and Retirement Planning. The Business Journal of Hispanic Research. 2007;1(2):54-68.
Lusardi A. Preparing for Retirement: The Importance of Planning Costs. National Tax Association Proceedings. 2002:148-154.
Al-rousan TM, Rubenstein LM, Wallace RB. Preparedness for natural disasters among older US adults: a nationwide survey. Am J Public Health. 2014;104(3):506-11. doi:10.2105/AJPH.2013.301559.
http://www.ncbi.nlm.nih.gov/pubmed/24432877?dopt=Abstract
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.
Al-rousan TM, Rubenstein LM, Wallace RB. Preparaci n de los adultos mayores en los Estados Unidos para hacer frente a los desastres naturales: encuesta a escala nacional. American Journal of Public Health. 2015;105(S4):S614. doi:10.2105/AJPH.2013.301559s.
Henk CM, Castro-Schilo L. Preliminary Detection of Relations Among Dynamic Processes With Two-Occasion Data. Structural Equation Modeling. 2016;23(2):180-193. doi:10.1080/10705511.2015.1030022.
Hoffman GJ, Tinetti M, Ha J, Alexander NB, Min LC. Prehospital and Posthospital Fall Injuries in Older US Adults. JAMA Network Open. 2020;3(8). doi:https://doi.org/10.1001/jamanetworkopen.2020.13243.
Hopp FP. Preferences for surrogate decision makers, informal communication, and advance directives among community-dwelling elders: results from a national study. Gerontologist. 2000;40(4):449-57. doi:10.1093/geront/40.4.449.
http://www.ncbi.nlm.nih.gov/pubmed/10961034?dopt=Abstract
Sloan FA, Padrón NA, Platt AC. Preferences, beliefs, and self-management of diabetes. Health Serv Res. 2009;44(3):1068-87. doi:10.1111/j.1475-6773.2009.00957.x.
http://www.ncbi.nlm.nih.gov/pubmed/19674433?dopt=Abstract
Barsky R, Kimball MS, F. Juster T, Shapiro MD. Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the HRS. Quarterly Journal of Economics. 1997;112(May):S537-S579.
Cutler DM, Finkelstein A, McGarry K. Preference Heterogeneity and Insurance Markets: Explaining a Puzzle of Insurance. American Economic Review. 2008;98(2):157-162. doi:10.1257/aer.98.2.157.
Duffy S, Smith J. Preference for increasing wages: How do people value various streams of income?. Judgment and Decision Making. 2013;8(1):74.
Moffitt TE, Phillips JWR. Preface: Expert Advice to Enhance Aging Research and the Health and Retirement Study. Forum for Health Economics and Policy. 2022. doi:doi:10.1515/fhep-2022-0021.
Tsang M, Gan S, Wong ML, Walter LC, Smith AK. Pre-existing geriatric conditions in older adults with poor prognosis cancers. Journal of Clinical Oncology. 2021;39(15_suppl):12044-12044. doi:10.1200/JCO.2021.39.15_suppl.12044.
Stites SD, Largent EA, Gill J, Gurian A, Harkins K, Karlawish J. Predictors of who Serves as an Alzheimer's Disease Research Participant's Study Partner and the Impact of their Relationship on Study Partners' Reports on Participants. Research on Aging. 2022;44(9-10):734-746. doi:10.1177/01640275221075739.
Jackson SE, Beeken RJ, Wardle J. Predictors of Weight Loss in Obese Older Adults: Findings from the USA and the UK. Obesity Facts. 2014;7(2):102-110.
Lund B. Predictors of use of digital technology for communication among older adults: analysis of data from the health and retirement study. Working with Older People. 2021;25(4):294-303. doi:10.1108/WWOP-01-2021-0002.
Choi NG, Schlichting-Ray L. Predictors of transitions in disease and disability in pre- and early-retirement populations. J Aging Health. 2001;13(3):379-409. doi:10.1177/089826430101300304.
http://www.ncbi.nlm.nih.gov/pubmed/11813732?dopt=Abstract
Wan X. Predictors of Technology Use among Older Adults: Evidence Ranging from Non-Users to Elite Users. 2022;Ph.D.
McCarthy MJ, Huguet N, Newsom JT, Kaplan MS, McFarland B. Predictors of Smoking Patterns After First Stroke. Social Work in Health Care. 2013;52(5):467.