HRS Bibliography

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D

Burkhauser RV, Butler JS, Gumus G. Dynamic Modeling of the SSDI Application Timing Decision: The Importance of Policy Variables. Journal of Applied Econometrics. 2004;19(6):671-685.
Burkhauser RV, Butler JS, Gumus G. Dynamic Modeling of the SSDI Application Timing Decision: The Importance of Policy Variables. Journal of Applied Econometrics. 2004;19(6):671-685.
Mudrazija S, Butrica BA. The dynamic nature of poverty and food insecurity among older adults: Evidence from the Health and Retirement Study. Applied Economic Perspectives and Policy. 2022. doi:https://doi.org/10.1002/aepp.13329.
Blau DM, Gilleskie DB. A Dynamic Structural Model of Health Insurance and Retirement. University of North Carolina-Chapel Hill; 1998.
Marshall GL, Bayaz-Ozturk G, Kahana E, Gallo WT, Seghal A. Dynamics of Financial Hardship in the United States: Health and Retirement Study 2006-2016. Journal of Gerontological Social Work. 2022;65(3):241-251. doi:10.1080/01634372.2021.1953662.
Covinsky KE, Cenzer I, Yaffe K, O'Brien S, Blazer DG. Dysphoria and anhedonia as risk factors for disability or death in older persons: implications for the assessment of geriatric depression. Am J Geriatr Psychiatry. 2014;22(6):606-13. doi:10.1016/j.jagp.2012.12.001.
http://www.ncbi.nlm.nih.gov/pubmed/23602308?dopt=Abstract

E

Yang YC, Walsh CE, Shartle K, et al. An Early and Unequal Decline: Life Course Trajectories of Cognitive Aging in the United States. J Aging Health. 2023:8982643231184593. doi:10.1177/08982643231184593.
Benítez-Silva H, Heiland F. Early Claiming of Social Security Benefits and Labor Supply Behavior of Older Americans. Appl Econ. 2008;40(23):2969-2985. doi:10.1080/00036840600994054.
http://www.ncbi.nlm.nih.gov/pubmed/20811509?dopt=Abstract
M. Glymour M, Benjamin EJ, Kosheleva A, Gilsanz P, Curtis LH, Patton KK. Early life predictors of atrial fibrillation-related mortality: evidence from the health and retirement study. Health Place. 2013;21:133-9. doi:10.1016/j.healthplace.2012.12.008.
http://www.ncbi.nlm.nih.gov/pubmed/23454734?dopt=Abstract
Brown C. Early Retirement Windows. In: Mitchell OS, Hammond B, Rappaport A, eds. Forecasting Retirement Needs and Retirement Wealth. Forecasting Retirement Needs and Retirement Wealth. Philadelphia: Univ. of Pennsylvania Press; 2000:253-273.
Brown MT. Early-life characteristics, psychiatric history, and cognition trajectories in later life. Gerontologist. 2010;50(5):646-56. doi:10.1093/geront/gnq049.
http://www.ncbi.nlm.nih.gov/pubmed/20566836?dopt=Abstract
Bell MJ, Sauerteig-Rolston MR, Ferraro KF. Is Early-Life Enrichment Associated With Better Cognitive Function Among Older Adults? Examining Home and School Environments. Journal of Aging and Health. Forthcoming:8982643241232718. doi:10.1177/08982643241232718.
Nakamura JS, Kim ES, Rentscher KE, Bower JE, Kuhlman K. Early-life stress, depressive symptoms, and inflammation: the role of social factors. Aging & Mental Health. 2021. doi:10.1080/13607863.2021.1876636.
Lin I-F, Brown SL. The Economic Consequences of Gray Divorce for Women and Men. The Journals of Gerontology, Series B. 2021;76(10):2073-2085. doi:10.1093/geronb/gbaa157.
Angel JL, Buckley CJ, Angel RJ, Jimenez MA. The Economic Consequences of Marital Disruption for Pre-Retirement Age African-American, Hispanic and Non-Hispanic White Women. Minneapolis, MN: Population Association of America; 2003.
Hessel P, Riumallo-Herl CJ, Leist AK, Berkman LF, Avendano M. Economic downturns, retirement and long-term cognitive function among older Americans. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. 2018;73(4):744-754. doi:10.1093/geronb/gbx035.
Banks J. Economic measures in the Health and Retirement Study. 2002.PDF icon Download PDF (181.16 KB)
Browning M, Chiappori P-A, Weiss Y. Economics of the Family. New York: Cambridge University Press; 2014.
Han SHwang, Wu B, Burr JA. Edentulism and trajectories of cognitive functioning among older adults: The role of dental care service utilization. Journal of Aging and Health. 2020;32(7-8):744-752. doi:10.1177/0898264319851654.
Palgi Y, Ayalon L, Avidor S, Segel-Karpas D, Bodner E. On the edge: The association between extreme values of proportional felt-age and functioning. Psychiatry Research. 2018;270:538-543. doi:10.1016/j.psychres.2018.10.035.
Basu R. Education and Dementia Risk: Results From the Aging Demographics and Memory Study. Research on Aging. 2013;35(1):7.
Mitchell UA, Ailshire JA, Brown LL, Levine ME, Crimmins EM. Education and Psychosocial Functioning Among Older Adults: 4-Year Change in Sense of Control and Hopelessness. J Gerontol B Psychol Sci Soc Sci. 2018;73(5):849-859. doi:10.1093/geronb/gbw031.
http://www.ncbi.nlm.nih.gov/pubmed/27013537?dopt=Abstract
Ospina-Romero M, Brenowitz WD, M Glymour M, et al. Education, incident cancer, and rate of memory decline in a national sample of US adults in mid-to-later-life. J Geriatr Oncol. 2023;14(5):101530. doi:10.1016/j.jgo.2023.101530.
Yamashita T, Bardo AR, Liu D, Yoo JWon. Education, lifelong learning and self-rated health in later life in the USA. Health Education Journal. 2019;78(3):328-339. doi:10.1177/0017896918809500.
Ding X, Barban N, Mills MC. Educational attainment and allostatic load in later life: Evidence using genetic markers. Preventive Medicine. 2019;129:105866. doi:10.1016/j.ypmed.2019.105866.