HRS Bibliography

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Pradeep N, Sutin AR. Spouses and depressive symptoms in older adulthood. Sci Rep. 2015;5:8594. doi:10.1038/srep08594.
http://www.ncbi.nlm.nih.gov/pubmed/25716455?dopt=Abstract
Chen P, Botticello AL. Spouses of stroke survivors may be at risk for poor cognitive functioning: a cross-sectional population-based study. Top Stroke Rehabil. 2013;20(4):369-78. doi:10.1310/tsr2004-369.
http://www.ncbi.nlm.nih.gov/pubmed/23893836?dopt=Abstract
Iwashyna TJ, Netzer G, Langa KM, Cigolle CT. Spurious inferences about long-term outcomes: the case of severe sepsis and geriatric conditions. Am J Respir Crit Care Med. 2012;185(8):835-41. doi:10.1164/rccm.201109-1660OC.
http://www.ncbi.nlm.nih.gov/pubmed/22323301?dopt=Abstract
Dorn S, Shang B. Spurring enrollment in Medicare savings programs through a substitute for the asset test focused on investment income. Health Aff (Millwood). 2012;31(2):367-75. doi:10.1377/hlthaff.2011.0443.
http://www.ncbi.nlm.nih.gov/pubmed/22323167?dopt=Abstract
SSA Permissions Consent History: 1992-2012 (Public Version). Ann Arbor: Survey Research Center, University of Michigan; 2015:5.PDF icon Download PDF (62.86 KB)
Kim JH. SSI eligibility and participation among the aged: A hazard model approach. 2010;Doctor of Philosophy.
Davies PS. SSI Eligibility and Participation Among the Oldest Old: Evidence from the AHEAD. Social Security Bulletin. 2003;64(3).
Kim JH. SSI Participation Among the Elderly: A Hazard Model Approach. Journal of Poverty. 2013;17(2):217-233. doi:10.1080/10875549.2013.775994.
Szinovacz ME, Davey A. Stability and change in financial transfers from adult children to older parents. Can J Aging. 2012;31(4):367-78. doi:10.1017/S0714980812000372.
http://www.ncbi.nlm.nih.gov/pubmed/23217582?dopt=Abstract
Ekerdt DJ, DeViney S, Kosloski K. Stability and Change in Plans for Retirement. University of Michigan; 1996.
Kasper JD, Pezzin LE, J Rice B. Stability and changes in living arrangements: relationship to nursing home admission and timing of placement. J Gerontol B Psychol Sci Soc Sci. 2010;65(6):783-91. doi:10.1093/geronb/gbq023.
http://www.ncbi.nlm.nih.gov/pubmed/20442211?dopt=Abstract
de la Torre-Luque A, de la Fuente J, Sánchez-Niubó A, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study. Acta Psychiatrica Scandinavica. 2019. doi:10.1111/acps.13107.
University PState. Startling News: Chronic Health Conditions Are Far More Common in Recent Generations.
McDade TW. The State and Future of Blood-Based Biomarkers in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14:1-5. doi:10.2202/1558-9544.1263.
Muramatsu N, Campbell RT. State expenditures on home and community based services and use of formal and informal personal assistance: a multilevel analysis. J Health Soc Behav. 2002;43(1):107-24. doi:10.2307/3090248.
http://www.ncbi.nlm.nih.gov/pubmed/11949194?dopt=Abstract
Farnham MP, Sevak P. State Fiscal Institutions and Empty-Nest Migration: Are Tiebout voters hobbled?. Journal of Public Economics. 2006;90(3):407 -427. doi:https://doi.org/10.1016/j.jpubeco.2005.07.005.
Chen Y, Fang H. The State of Mental Health Among the Elderly Chinese. Cambridge, MA: National Bureau of Economic Research; 2020. doi:10.3386/w26690.
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
O'Muircheartaigh C, Eckman S, Smith S. Statistical design and estimation for the national social life, health, and aging project. J Gerontol B Psychol Sci Soc Sci. 2009;64 Suppl 1(Suppl 1):i12-9. doi:10.1093/geronb/gbp045.
http://www.ncbi.nlm.nih.gov/pubmed/19567827?dopt=Abstract
Ding Y, Li Y, Song R. Statistical Learning for Individualized Asset Allocation. Journal of the American Statistical Association. Forthcoming. doi:10.1080/01621459.2022.2139265.
Hancock J, Khoshgoftaar TM, Landset S. Statistical Significance of Hyperparameter Tuning for Varying Levels of Class Imbalance. In: 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. ; 2021.
Case A, Paxson C. Stature and status: Height, ability, and labor market outcomes. J Polit Econ. 2008;116(3):499-532. doi:10.1086/589524.
http://www.ncbi.nlm.nih.gov/pubmed/19603086?dopt=Abstract
Steinke A. Staying mentally fit by helping others. The Herald-Palladium. http://www.heraldpalladium.com/features/staying-mentally-fit-by-helping-others/article_2d4bd273-41af-5327-8008-879c1a4d91f2.html. Published 2017.
Liu Z. Staying Optimistic: Older Americans’ Retirement Expectations Remain Uninterrupted Despite COVID-19 Impact. EBRI Issue Brief. 2022;no. 565.