HRS Bibliography

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2018

Sonnega A, Helppie-McFall B, Hudomiet P, Willis RJ, Fisher GG. A comparison of subjective and objective job demands and fit with personal resources as predictors of retirement timing in a national U.S. Sample. Work, Aging and Retirement. 2018;4(1). doi:10.1093/workar/wax016.
Kavé G, Fridkin S, Ayalon L. Demographic factors and retrieval of object and proper names after age 70. Vigliecca NSilvana, ed. PLOS ONE. 2018;13(1):e0191876. doi:10.1371/journal.pone.0191876.
Favreault M, Johnson RW. Distributional Effects of Alternative Strategies for Financing Long-Term Services and Supports and Assisting Family Caregivers. Boston, MA: Center for Retirement Research at Boston College; 2018:2-65.
Figinski TF, Neumark D. Does eliminating the earnings test increase the incidence of low income among older women?. Research on Aging. 2018;40(1). doi:10.1177/0164027516676877.
Kemp BR, Ferraro KF, Morton PM, Mustillo SA. Early origins of adult cancer risk among men and women: Influence of childhood misfortune?. Journal of Aging and Health. 2018;30(1):140-163. doi:10.1177/0898264316670049.
Filatov A. Essays in labor economics. Department of Economics and the History of Economics. 2018;Doctor of Philosophy:67.
Fu W. Essays on Retirement Behavior during the Housing Boom and Bust. Economics. 2018;PhD:112.
Yashin AI, Arbeev KG, Wu D, et al. Genetics of human longevity from incomplete data: New findings from the long life family study. Journals of Gerontology, Series A: Biological Sciences & Medical Sciences. 2018;73(11):1472-1481. doi:10.1093/gerona/gly057.
http://www.ncbi.nlm.nih.gov/pubmed/30299504?dopt=Abstract
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Ferdows NB, Jensen GA, Tarraf W. Healthy aging after age 65: A life-span health production function approach. Research on Aging. 2018;40(5):480-507. doi:10.1177/0164027517713312.
http://www.ncbi.nlm.nih.gov/pubmed/28610549?dopt=Abstract
Yashin AI, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.
Vettoretti M, Longato E, Di Camillo B, Facchinetti A. Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. Conf Proc IEEE Eng Med Biol Soc. 2018;2018:5358-5361. doi:10.1109/EMBC.2018.8513554.
http://www.ncbi.nlm.nih.gov/pubmed/30441547?dopt=Abstract
Farmer HR. An Intersectional Perspective on the Relationships Among Social Status, Self-reported Discrimination, and Low-grade C-Reactive Protein in the Health and Retirement Study. Biobehavioral Health. 2018;Doctor of Philosophy:205.
Fahle SPatrick, McGarry KM, Goldin C, Katz LF. Labor Market Implications of Providing Family Care. In: Women Working Longer: Increased Employment at Older Ages. Women Working Longer: Increased Employment at Older Ages. Chicago: University of Chicago Press; 2018:157-178. doi:10.7208/chicago/9780226532646.001.0001.
Jones JBailey, De Nardi M, French E, McGee R, Kirschner J. The Lifetime Medical Spending of Retirees. Cambridge, MA: National Bureau of Economic Research; 2018:2-31. doi:10.3386/w24599.
Infurna FJ, Kappes C, Fraire N. Long-term antecedents of constraints and mastery: Findings from the Health and Retirement Study. Psychology and Aging. 2018;33(6):965-974. doi:10.1037/pag0000281.
Kapinos K, Fischer SH, Mulcahy A, Hayden O, Barron R. Medical Costs for Osteoporosis-Related Fractures in High-Risk Medicare Beneficiaries. Journal of the American Geriatrics Society. 2018;66(12):2298-2304. doi:10.1111/jgs.15585.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
Hatfield LA, Favreault MM, McGuire TG, Chernew ME. Modeling Health Care Spending Growth of Older Adults. Health Services Research. 2018;53:138-155. doi:10.1111/1475-6773.12640.
Finch P. The Myth of Steady Retirement Spending, and Why Reality May Cost Less. The New York Times. https://www.nytimes.com/2018/11/29/business/retirement/retirement-spending-calculators.html. Published 2018.
Weir DR, Waite LJ, Wong R, Freedman VA. New Measures and New Designs in Demography of Aging Research. In: Future Directions for the Demography of Aging: Proceedings of a Workshop . Future Directions for the Demography of Aging: Proceedings of a Workshop . Washington, DC: The National Academies Press; 2018:371-396. doi:https://doi.org/10.17226/25064.
Carr E, Fleischmann M, Goldberg M, et al. Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohorts. Occupational and Environmental Medicine. 2018;75(5):369 - 377. doi:10.1136/oemed-2017-10461910.1136/oemed-2017-104619.supp1.
Burgard SA, Sonnega A. Occupational Differences in BMI, BMI Trajectories, and Implications for Employment Status among Older U.S. Workers. Fisher GG, ed. Work, Aging and Retirement. 2018;4(1):21-36. doi:10.1093/workar/waw038.
Raab M, Fasang A, Hess M. Pathways to death: The co-occurrence of physical and mental health in the last years of life. Demographic Research. 2018;38:1619 - 1634. doi:10.4054/DemRes.2018.38.53.