HRS Bibliography

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Smith DM. Time Use and Well-being, and Large Survey Studies. Forum for Health Economics and Policy. 2011;14(3):Article 8.
Yu J, Zhong H. Time varying mixed effects model with fused lasso regularization. Journal of Applied Statistics. 2020. doi:10.1080/02664763.2020.1791805.
A Kraal Z, Zaheed AB, Krasnova A, Vadari H, Byrd DAR, Zahodne LB. Time-lagged associations between two adverse childhood experiences and later-life cognitive function through educational attainment and stroke. J Int Neuropsychol Soc. 2023:1-10. doi:10.1017/S135561772300036X.
Riffe T, Chung PH, Spinjker J, MacInnes J. Time-to-Death Patterns in Markers of Age and Dependency. Rostock, Germany, Max Planck Institute for Demographic Research; 2015.
Riffe T, Chung PH, Spijker J, MacInnes J. Time-to-death patterns in markers of age and dependency. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:229-254. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s229.
Matsuyama Y. Time-varying exposure analysis of the relationship between sustained natural dentition and cognitive decline. J Clin Periodontol. 2023;50(6):727-735. doi:10.1111/jcpe.13786.
Resciniti NV, Yelverton V, Kase BE, Zhang J, Lohman MC. Time-Varying Insomnia Symptoms and Incidence of Cognitive Impairment and Dementia among Older US Adults. International Journal of Environmental Research and Public Health. 2021;18(1):351. doi:10.3390/ijerph18010351.
Enguidanos S, Ailshire JA. Timing of Advance Directive Completion and Relationship to Care Preferences. J Pain Symptom Manage. 2017;53(1):49-56. doi:10.1016/j.jpainsymman.2016.08.008.
http://www.ncbi.nlm.nih.gov/pubmed/27720793?dopt=Abstract
Cadet TJ, Burke SLynn, Nedjat-Haiem FR, et al. Timing of Immigration Effects Asset Change Among Hispanic Caregivers of Older Family Members. Journal of Family and Economic Issues. 2021;42(3):561-572. doi:https://doi.org/10.1007/s10834-020-09719-3.
Mehri N. Title Living Longer but Unhealthier? Spouse Caregivers' Health and Mortality in the US (2004-2014). Gerontology. 2020;Doctor of Philosophy.
Fawaz Y. To claim or to retire: The social security claiming decision of employed and unemployed workers. International Journal of Manpower. 2017;38(3):392-416. doi:10.1108/IJM-08-2015-0127.
Coy P. To Save or Not To Save. Business Week. 2000:34.
Munnell AH, Chen A, Webb A. To What Extent Does SES Status Lead People to Retire Too Soon?. Center for Retirement Research at Boston College; 2015.
Cahill KE, Giandrea MD, Quinn JF. To What Extent is Gradual Retirement a Product of Financial Necessity?. Work, Aging and Retirement. 2017;3(1):25 - 54. doi:10.1093/workar/waw027.
Wolfe MT, Patel PC. To Your Health: Health Insurance, Self-Employment Exit, and Older Entrepreneurs. Journal of Small Business Management. 2019;57(2):593-615. doi:10.1111/jsbm.12412.
Kalousova L. Tobacco control policy and smoking among older Americans: An analysis of a nationally-representative longitudinal sample (1992–2014). Preventive Medicine. 2020;137. doi:https://doi.org/10.1016/j.ypmed.2020.106127.
Graham J. The Toll of Caring for Aging Parents.
Greene K. Toll of Caring for Elderly Increases. Wall Street Journal (Online). http://online.wsj.com/article/SB10001424052702304665904576383483508416152.html. Published 2011.
Zhao B. Too poor to retire? Housing prices and retirement. Review of Economic Dynamics. 2018;27:27-47. doi:10.1016/j.red.2017.11.002.
Westgate PM, West BT. Tools for Selecting Working Correlation Structures When Using Weighted GEE to Model Longitudinal Survey Data. Journal of Survey Statistics and Methodology. 2021;9(1):141-158. doi:10.1093/jssam/smz048.
Baker CSean. Topics in Labor Markets, Health, and Employer-Sponsored Health Insurance. 2005.
Kirson NY. Topics in the economics of health and aging. 2008;Doctor of Philosophy.
Dao N. Topics on Retirement Saving, Retirement and Health in the Era of Population Aging. Public Affairs. 2019;PhD:194.
Accius, II JC. Toward a demographic divide? Equity, race, and Social Security. 2008.
McCrory C, McLoughlin S, Layte R, et al. Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis. Psychoneuroendocrinology. 2023;153:106117. doi:10.1016/j.psyneuen.2023.106117.