HRS Bibliography

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Hayward MD, Crimmins EM, Zhang Z. Consequences of Educational Change for the Burden of Chronic Health Problems in the Population. In: Gauthier AH, Chu C, Tuljapurkar S, eds. Allocating Public and Private Resources across Generations. Allocating Public and Private Resources across Generations. Oxford, UK: Oxford University Press; 2006:227-242. doi:https://doi.org/10.1007/978-1-4020-4481-6_9.
Lin I-F. Consequences of Divorce and Remarriage on Intergenerational Transfers. Bowling Green State University; 2004.
Biggs AG, Chen A, Munnell AH. The Consequences of Current Benefit Adjustments for Early and Delayed Claiming. Boston, MA: Center for Retirement Research at Boston College; 2021.
Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62.
Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62. Washington, D.C.: AARP Public Policy Institute; 2021. doi:10.26419/ppi.00134.001.
Smith JP. Consequences and Predictors of New Health Events. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005.
Hill PL, Turiano NA, Hurd MD, Mroczek DK, Roberts BW. Conscientiousness and longevity: an examination of possible mediators. Health Psychol. 2011;30(5):536-41. doi:10.1037/a0023859.
http://www.ncbi.nlm.nih.gov/pubmed/21604882?dopt=Abstract
Mike A, Jackson JJ, Oltmanns TF. The conscientious retiree: The relationship between conscientiousness, retirement, and volunteering. J Res Pers. 2014;52:68-77. doi:10.1016/j.jrp.2014.07.002.
http://www.ncbi.nlm.nih.gov/pubmed/25843985?dopt=Abstract
Airaksinen J, Gluschkoff K, Kivimäki M, Jokela M. Connectivity of depression symptoms before and after diagnosis of a chronic disease: A network analysis in the U.S. Health and Retirement Study. Journal of Affective Disorders. 2020;266:230 - 234. doi:https://doi.org/10.1016/j.jad.2020.01.170.
Heatlh O. A Connection Between Diabetes, Oral Health and Dementia Highlights the Importance of Dental Care.
Hill PL, Weston SJ, Jackson JJ. Connecting Social Environment Variables to the Onset of Major Specific Health Outcomes. Psychology and Health. 2014;29(7):753-767. doi:10.1080/08870446.2014.884221.
Turvey CL, Carney C, Arndt S, Wallace RB, Herzog AR. Conjugal loss and syndromal depression in a sample of elders aged 70 years or older. Am J Psychiatry. 1999;156(10):1596-601. doi:10.1176/ajp.156.10.1596.
http://www.ncbi.nlm.nih.gov/pubmed/10518172?dopt=Abstract
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Dey R, M. Islam A. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
Mejia ST, Giasson HL, Smith J, Gonzalez R. Concurrent and enduring associations between married partners' shared beliefs and markers of aging. Psychology and Aging. 2020;35(7):925-936. doi:10.1037/pag0000515.
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. The Concordance of Survey Reports and Medicare Claims in a Nationally Representative Longitudinal Cohort of Older Adults. Medical Care. 2014;52(5):462-468. doi:10.1097/MLR.0000000000000120.
Li K-K, Cardinal BJ, Acock AC. Concordance of Physical Activity Trajectories Among Middle-Aged and Older Married Couples: Impact of Diseases and Functional Difficulties. The Journals of Gerontology. 2013;68(5):794.
Hudomiet P, Willis RJ. Computerization, obsolescence and the length of working life. Labour Economics. 2022;77:102005. doi:https://doi.org/10.1016/j.labeco.2021.102005.
Calhoun D, Lee SBok. Computer usage and cognitive capability of older adults: Analysis of data from the Health and Retirement Study. Educational Gerontology. 2019;45(1):22-23. doi:10.1080/03601277.2019.1575026.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Mirina A. Computational approaches for intelligent processing of biomedical data. 2015;3664552:111.
Gordo LRomeu. Compression of morbidity and the labour supply of older people. Applied Economics. 2011;43(4):503-513. doi:https://doi.org/10.1080/00036840802599941.
Bardenheier BH, Lin J, Zhuo X, et al. Compression of disability between two birth cohorts of US adults with diabetes, 1992-2012: a prospective longitudinal analysis. Lancet Diabetes Endocrinol. 2016;4(8):686-694. doi:10.1016/S2213-8587(16)30090-0.
http://www.ncbi.nlm.nih.gov/pubmed/27298181?dopt=Abstract
Love DA, Schmidt L. The Comprehensive Wealth of Immigrants and Natives. In: 17th Annual Joint Meeting of the Retirement Research Consortium. 17th Annual Joint Meeting of the Retirement Research Consortium. Washington, DC: NBER; 2015.
Wei MY, Luster JE, Chan C-L, Min LC. Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data. BMC Health Services Research. 2020;20. doi:10.1186/s12913-020-05207-4.