HRS Bibliography

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Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Fang H, Keane MP, Silverman DS. Sources of Advantageous Selection: Evidence from the Medigap Insurance Market. Journal of Political Economy. 2008;116(2):303-350. doi:https://doi.org/10.1086/587623.
Wilson RS, Weir DR, Leurgans SE, et al. Sources of variability in estimates of the prevalence of Alzheimer's disease in the United States. Alzheimers Dement. 2011;7(1):74-9. doi:10.1016/j.jalz.2010.11.006.
http://www.ncbi.nlm.nih.gov/pubmed/21255745?dopt=Abstract
Smith JP, Stafford F, Walker JR. Special Issue on Cross-National Comparative Research Using Panel Surveys (Introduction). Journal of Human Resources. 2003;38(2):231-240. doi:10.2307/1558744.
Smith JP, Stafford F, Walker JR. Special Issue on Cross-National Comparative Research Using Panel Surveys (Introduction). Journal of Human Resources. 2003;38(2):231-240. doi:10.2307/1558744.
Sharma M, Babiarz P. Spending behavior and stimulus transfer use in response to income shocks among older Americans: evidence from the COVID-19 pandemic. Applied Economics Letters. Forthcoming. doi:10.1080/13504851.2022.2078774.
Perna M, Stempien J. Spending in retirement: How you just might find what you want and what you need. Atlanta: PGIM; 2020.
Hurd MD, Rohwedder S. Spending Patterns in the Older Population. In: Drolet A, Schwarz N, Yoon C, eds. Aging Consumer: Perspectives from Psychology and Economics. Aging Consumer: Perspectives from Psychology and Economics. New York: Routledge; 2010:25-49.
Chan AChung Yin, Sneed R. SPOUSAL ASSOCIATIONS BETWEEN GRANDPARENT CAREGIVING AND WELL-BEING: FINDINGS FROM THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2022;6(Suppl 1):558. doi:10.1093/geroni/igac059.2108.
Springer KW, Lee C, Carr D. Spousal breadwinning across 30 years of marriage and husbands' health: A gendered life course stress approach. Journal of Aging and Health. 2019;31(1):37-66. doi:10.1177/0898264317721824.
http://www.ncbi.nlm.nih.gov/pubmed/28782397?dopt=Abstract
Ornstein KA, Aldridge MD, Mair CA, Gorges RJean, Siu AL, Kelley A. Spousal Characteristics and Older Adults' Hospice Use: Understanding Disparities in End-of-Life Care. J Palliat Med. 2016;19(5):509-15. doi:10.1089/jpm.2015.0399.
http://www.ncbi.nlm.nih.gov/pubmed/26991831?dopt=Abstract
Falba T, Sindelar JL. Spousal concordance in health behavior change. Health Serv Res. 2008;43(1 Pt 1):96-116. doi:10.1111/j.1475-6773.2007.00754.x.
http://www.ncbi.nlm.nih.gov/pubmed/18211520?dopt=Abstract
Ryan LH, Wan WH, Smith J. Spousal social support and strain: impacts on health in older couples. Journal of Behavioral Medicine. 2014;37(6):1108-17. doi:10.1007/s10865-014-9561-x.
Choi H, Schoeni RF, Langa KM, Heisler MM. Spouse and Child Availability for Newly Disabled Older Adults: Socioeconomic Differences and Potential Role of Residential Proximity. J Gerontol B Psychol Sci Soc Sci. 2015;70(3):462-9. doi:10.1093/geronb/gbu015.
http://www.ncbi.nlm.nih.gov/pubmed/24607786?dopt=Abstract
Pradeep N, Sutin AR. Spouses and depressive symptoms in older adulthood. Sci Rep. 2015;5:8594. doi:10.1038/srep08594.
http://www.ncbi.nlm.nih.gov/pubmed/25716455?dopt=Abstract
Dorn S, Shang B. Spurring enrollment in Medicare savings programs through a substitute for the asset test focused on investment income. Health Aff (Millwood). 2012;31(2):367-75. doi:10.1377/hlthaff.2011.0443.
http://www.ncbi.nlm.nih.gov/pubmed/22323167?dopt=Abstract
Szinovacz ME, Davey A. Stability and change in financial transfers from adult children to older parents. Can J Aging. 2012;31(4):367-78. doi:10.1017/S0714980812000372.
http://www.ncbi.nlm.nih.gov/pubmed/23217582?dopt=Abstract
de la Torre-Luque A, de la Fuente J, Sánchez-Niubó A, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study. Acta Psychiatrica Scandinavica. 2019. doi:10.1111/acps.13107.
Farnham MP, Sevak P. State Fiscal Institutions and Empty-Nest Migration: Are Tiebout voters hobbled?. Journal of Public Economics. 2006;90(3):407 -427. doi:https://doi.org/10.1016/j.jpubeco.2005.07.005.
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
O'Muircheartaigh C, Eckman S, Smith S. Statistical design and estimation for the national social life, health, and aging project. J Gerontol B Psychol Sci Soc Sci. 2009;64 Suppl 1(Suppl 1):i12-9. doi:10.1093/geronb/gbp045.
http://www.ncbi.nlm.nih.gov/pubmed/19567827?dopt=Abstract