HRS Bibliography

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Ozawa MN, Hong B-E. Postretirement earnings relative to preretirement earnings: gender and racial differences. J Gerontol Soc Work. 2006;47(3-4):63-82. doi:10.1300/J083v47n03_05.
http://www.ncbi.nlm.nih.gov/pubmed/17062523?dopt=Abstract
Carr DC, Moen P, M. Jenkins P, Smyer M. Postretirement life satisfaction and financial vulnerability: The moderating role of control. Journals of Gerontology - Series B Psychological Sciences and Social Sciences. 2020;75(4):849-860. doi:10.1093/geronb/gby105.
Cho J, Kim BR, Park SJung, Jang J. Postretirement work and volunteering by poverty groups informed by role theory. Journal of Gerontological Social Work. 2018;61(3):243-260. doi:10.1080/01634372.2017.1416719.
http://www.ncbi.nlm.nih.gov/pubmed/29236613?dopt=Abstract
Haider S, McGarry K. Postsecondary Schooling and Parental Resources: Evidence from the PSID and HRS. Education Finance and Policy. 2018;13(1):72-96. doi:10.1162/edfp_a_00219.
Choi NG. Potential Consequences of Raising the Social Security Eligibility Age on Low-Income Older Workers. Journal of Aging and Social Policy. 2000;11(4):15-39. doi:10.1300/J031v11n04_04.
Johnson RW, Uccello CE. The Potential Effects of Cash Balance Plans on the Distribution of Pension Wealth at Midlife. Washington, D.C.: The Urban Institute; 2001.
Ayanian JZ, Meara E, McWilliams JM. Potential Enhancements to Data on Health Insurance, Health Services, and Medicare in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14(3):Article 3.
Burkhauser RV, Daly MC. The Potential Impact on the Employment of People with Disabilities. In: West J, ed. Implementing the Americans with Disabilities Act. Implementing the Americans with Disabilities Act. Cambridge, MA: Blackwell Publishers; 1996:153-192.
Raykov T, Gorelick PB, Zajacova A, Marcoulides GA. On the potential of discrete time survival analysis using latent variable modeling: An application to the study of the vascular depression hypothesis. Structural Equation Modeling: A Multidisciplinary Journal. 2017:1 - 10. doi:10.1080/10705511.2017.1315305.
Dougherty DD. Potential to Privately Pay for Long-Term Care Services. 2000.
Gawronski KAB, Kim ES, Miller LE. Potentially traumatic events and serious life stressors are prospectively associated with frequency of doctor visits and overnight hospital visits. Journal of Psychosomatic Research. 2014;77(2):90-96. doi:10.1016/j.jpsychores.2014.05.009.
Chopik WJ, Wimer C, Betson DM, Manfield L. Poverty among the aged population: The role of out-of-pocket medical expenditures and annuitized assets in supplemental poverty measure estimates. 2018:47-75.
Bernstein SFae, Rehkopf D, Tuljapurkar S, Horvitz CC. Poverty dynamics, poverty thresholds and mortality: An age-stage Markovian model. Komarova NL, ed. PLOS ONE. 2018;13(5):e0195734. doi:10.1371/journal.pone.0195734.
Poverty report links wealth to life expectancy. Prince George Citizen. https://proxy.lib.umich.edu/login?url=https://search.proquest.com/docview/2292028778?accountid=14667. Published 2019.PDF icon ProQuestDocuments-2019-09-30.pdf (208.67 KB)
Lee Y. Poverty Transitions for the Elderly. 2009:Ph.D.
Bronshtein G, Scott JS, Shoven JB, Slavov SNataraj. The Power of Working Longer. Cambridge, MA: National Bureau of Economic Research; 2018. doi:10.3386/w24226.
Barcelo H, Faul JD, Crimmins EM, Thyagarajan B. A Practical Cryopreservation and Staining Protocol for Immunophenotyping in Population Studies. Current Protocols in Cytometry. 2018;84(1):e35. doi:10.1002/cpcy.35.
http://www.ncbi.nlm.nih.gov/pubmed/30040214?dopt=Abstract
Lusardi A. Precautionary Saving and the Accumulation of Wealth. Dartmouth College; 2000.
Yilmazer T, Scharff RL. Precautionary Savings Against Health Risks: Evidence From the Health and Retirement Study. Research on Aging. 2013;36(2):180-206. doi:10.1177/0164027512473487.
Barsky R, Bound J, Charles KK, Lupton JP. A Precise Characterization of The Black-White Wealth Gap. University of Michigan; 2001.
Giustinelli P, Manski CF, Molinari F. Precise or Imprecise Probabilities? Evidence from Survey Response on Late-onset Dementia. National Bureau of Economic Research Working Paper Series. 2019;No. 26125. doi:10.3386/w26125.PDF icon w26125.pdf (535.1 KB)
Bobo JKay, Greek AA, Klepinger DH, Herting JR. Predicting 10-year alcohol use trajectories among men age 50 years and older. Am J Geriatr Psychiatry. 2013;21(2):204. doi:10.1097/JGP.0b013e3182423b4b.
Cruz M, Covinsky KE, Widera EW, Stijacic-Cenzer I, Lee SJ. Predicting 10-year mortality for older adults. JAMA. 2013;309(9):874-6. doi:10.1001/jama.2013.1184.
http://www.ncbi.nlm.nih.gov/pubmed/23462780?dopt=Abstract
Aschwanden D, Aichele S, Ghisletta P, et al. Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Hill NL, Mogle J, Bell TReed, Bhargava S, Wion RK, Bhang I. Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints. International Journal of Geriatric Psychiatry. 2019.