HRS Bibliography

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Soldo BJ, Hill MS. Intergenerational Transfers: Economic, Demographic, and Social Perspectives. In: Maddox GL, M. Lawton P, eds. Annual Review of Gerontology and Geriatrics: Focus on Kinship, Aging, and Social Change. Vol. Vol. 13. Annual Review of Gerontology and Geriatrics: Focus on Kinship, Aging, and Social Change. New York: Springer Publishing Company; 1993:187-216.
Soldo BJ, Wolf DA, Henretta JC. Intergenerational Transfers: Blood, Marriage, and Gender Effects on Household Decisions. In: Smith JP, Willis RJ, eds. Wealth, work, and health: Innovations in measurement in the social sciences: Essays in honor of F. Thomas Juster. Wealth, work, and health: Innovations in measurement in the social sciences: Essays in honor of F. Thomas Juster. Ann Arbor, MI: University of Michigan Press; 1999:335-55.
Hill MS, Soldo BJ, Li W. Intergenerational Transfers and Labor Supply: Preliminary Evidence from the HRS. University of Michigan; 1993.
Zissimopoulos JM. Intergenerational Transfers and Family Behavior: Children, spouses, siblings, parents and parents-in-law. 2000.
Gaviria A. Intergenerational Mobility, Siblings' Inequality and Borrowing Constraints. University of California, San Diego; 1998.
Wilkinson JAnn. Intergenerational Intervivos Transfers: What is the pattern and level of financial support parents provide their adult children?. 2000.
Dunn TA, Phillips JWR. Intergenerational Co-Residence and Children's Incomes. Syracuse University; 1998.
Hoffman GJ, Burgard SA, Mendez-Luck CA, Gaugler JE. Interdependence in Health and Functioning Among Older Spousal Caregivers and Care Recipients. West J Nurs Res. 2019;41(5):685-703. doi:10.1177/0193945918781057.
http://www.ncbi.nlm.nih.gov/pubmed/29900758?dopt=Abstract
Shen H-W, Perry TE. Interdependence between the Social and Material Convoy: Links between Volunteering, Widowhood, and Housing Transitions. Social Work Research. 2016;40(2):71-82. doi:10.1093/swr/svw002.
Oi K. Inter-connected trends in cognitive aging and depression: Evidence from the Health and Retirement Study. Intelligence. 2017;63:56-65. doi:10.1016/j.intell.2017.05.004.
Wilmoth JM, London AS, Himes CL. Inter-Cohort Variation in the Consequences of U.S. Military Service for Men's Mid- to Late-Life Body Mass Index Trajectories. In: Burton-Jeangros C, Cullati S, Sacker A, Blane D, eds. A Life Course Perspective on Health Trajectories and Transitions. A Life Course Perspective on Health Trajectories and Transitions. New York: Springer; 2015:133-154.
Zhao W, Ware EB, He Z, Kardia SLR, Faul JD. Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting. International Journal of Environmental Research and Public Health. 2017;14(10):1153. doi:10.3390/ijerph14101153.
McGarry K. Inter Vivos Transfers and Intended Bequests. Journal of Public Economics. 1999;73(3):321-51.
Wu Y, Zeng J, Zhang F, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03371-0.
Gustman AL, Steinmeier TL. Integrating Retirement Models. Cambridge, MA, National Bureau of Economic Research; 2009.
Crimmins EM, Seeman TE. Integrating Biology into the Study of Health Disparities. In: Waite LJ, ed. Aging, Health, and Public Policy: Demographic and Economic Perspectives. Vol. 30. Aging, Health, and Public Policy: Demographic and Economic Perspectives. New York: Population Council; 2005:89-107.
Bhattacharya J. Insuring the Near-Elderly: How Much Would Medicare Save?. Annals of Internal Medicine. 2009;151(11):816-17.
Johnson RW, Davidoff AJ, Moon M. Insuring the Near Elderly: The Potential Role for Medicare Buy-In Plans. The Urban Institute. 2002;The Retirement Project Brief Series(No. 13).
Xu X, Patel DA, Vahratian A, Ransom SB. Insurance Coverage and Health Care Use among Near-Elderly Women. Women's Health Issues. 2006;16(3):139-148.
Martinussen T, Vansteelandt S, Tchetgen EJTchetgen, Zucker DM. Instrumental variables estimation of exposure effects on a time-to-event endpoint using structural cumulative survival models. Biometrics. 2017;73(4):1140-1149. doi:10.1111/biom.12699.
http://www.ncbi.nlm.nih.gov/pubmed/28493302?dopt=Abstract
Tchetgen Tchetgen EJ, Walter S, Vansteelandt S, Martinussen T, M. Glymour M. Instrumental variable estimation in a survival context. Epidemiology. 2015;26(3):402-410. doi:10.1097/ede.0000000000000262.
Nguyen TT, Tchetgen EJTchetgen, Kawachi I, et al. Instrumental variable approaches to identifying the causal effect of educational attainment on dementia risk. Ann Epidemiol. 2016;26(1):71-6.e1-3. doi:10.1016/j.annepidem.2015.10.006.
http://www.ncbi.nlm.nih.gov/pubmed/26633592?dopt=Abstract
Kapteyn A, Panis C. Institutions and Saving for Retirement: Comparing the United States, Italy, and the Netherlands. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005.
Dong Y, Yang FMargaret. Insomnia symptoms predict both future hypertension and depression. Prev Med. 2019;123:41-47. doi:10.1016/j.ypmed.2019.02.001.
http://www.ncbi.nlm.nih.gov/pubmed/30742871?dopt=Abstract
Dong L, Agnew J, Mojtabai R, Surkan PJ, Spira AP. Insomnia as a predictor of job exit among middle-aged and older adults: results from the Health and Retirement Study. J Epidemiol Community Health. 2017;71(8):750-757. doi:10.1136/jech-2016-208630.
http://www.ncbi.nlm.nih.gov/pubmed/28298414?dopt=Abstract