HRS Bibliography

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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.
Sathyan S, Wang T, Ayers E, Verghese J. Genetic basis of motoric cognitive risk syndrome in the Health and Retirement Study. Neurology. 2019;92(13):e1427-e1434. doi:10.1212/WNL.0000000000007141.
http://www.ncbi.nlm.nih.gov/pubmed/30737336?dopt=Abstract
Sasson I, Umberson D. Widowhood and depression: new light on gender differences, selection, and psychological adjustment. The journals of gerontology. Series B, Psychological sciences and social sciences. 2014;69(1):135.
Sass SA, Sun W, Webb A. When Should Married Men Claim Social Security Benefits?. Boston: Center for Retirement Research at Boston College; 2008.
Sarpong E. Essays in Labor Economics: Alcohol consumption and socioeconomic outcomes. Economics. 2007;Doctor of Philosophy.
Sargent-Cox KA, Anstey KJ, Kendig H, Skladzien E. Determinants of retirement timing expectations in the United States and australia: a cross-national comparison of the effects of health and retirement benefit policies on retirement timing decisions. Journal of Aging & Social Policy. 2012;24(3):291-308. doi:10.1080/08959420.2012.676324.
Sanzenbacher GT, Belbase A. Cognitive Impairment and Social Security’s Representative Payee Program. Center for Retirement Research at Boston College; 2016.
Sanzenbacher GT, Sass SA, Gillis CM. How job changes affect retirement timing by socioeconomic status. Boston: Center for Retirement Research at Boston College; 2017.
Sanzenbacher GT, Wu AYanyuan, Rutledge MS. The Impact of Temporary Assistance Programs on the Social Security Claiming Age. Chestnut Hill, MA: Center for Retirement Research at Boston College; 2015:1-331.
Sanz-de-Galdeano A, Terskaya A, Upegui A. Association of a genetic risk score with BMI along the life-cycle: Evidence from several US cohorts. PLoS One. 2020;15(9):e0239067. doi:10.1371/journal.pone.0239067.
http://www.ncbi.nlm.nih.gov/pubmed/32941506?dopt=Abstract
Sanz-de-Galdeano A, Terskaya A, Upegui A. Association of a Genetic Risk Score with BMI along the Life-Cycle: Evidence from Several US Cohorts. Bonn, Germany: IZA Institute of Labor Economics; 2020.
Santiago AM, Muschkin CG. Disentangling the effects of disability status and gender on the labor supply of Anglo, black, and Latino older workers. Gerontologist. 1996;36(3):299-310. doi:10.1093/geront/36.3.299.
http://www.ncbi.nlm.nih.gov/pubmed/8682328?dopt=Abstract
Sanses TVD. Functional Status and Muscle Evaluation in Older Women with Urinary Incontinence. Epidemiology and Preventive Medicine. 2019;M.S.:103.
Sanses TVD, Schiltz NK, Couri BM, et al. Functional status in older women diagnosed with pelvic organ prolapse. Am J Obstet Gynecol. 2016;214(5):613.e1-7. doi:10.1016/j.ajog.2015.11.038.
http://www.ncbi.nlm.nih.gov/pubmed/26704893?dopt=Abstract
Sanguinetti TP. Decision-Making in Health Insurance Markets. Philosophy. 2020;Doctor of Philosophy.
Sanchez-Arias R, Batista RW. Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). Boca Raton, FL, USA: IEEE; 2019. doi:10.1109/ICMLA.2019.00063.
Samwick AA. Means Testing Federal Health Entitlement Benefits. Tax Policy and the Economy. 2018;32(1):173 - 210. doi:10.3386/w23990.
Samwick AA, Wise DA. Option Value Estimation with HRS Data. In: Ogura S, Tachibanaki T, Wise DA, eds. Labor Markets and Firm Benefit Policies in Japan and the United States. Labor Markets and Firm Benefit Policies in Japan and the United States. Chicago: University of Chicago Press; 2003:205-228.
Samper-Ternent R, Kuo YFang, Ray LA, Ottenbacher KJ, Markides KS, Snih SAl. Prevalence of Health Conditions and Predictors of Mortality in Oldest Old Mexican Americans and Non-Hispanic Whites. Journal of the American Medical Directors Association. 2012;13(3):254 - 259. doi:10.1016/j.jamda.2010.07.010.
Salm M. Essays on Health and Household Finances. 2006.
Salm M. Subjective Mortality Expectations and Consumption and Saving Behaviours among the Elderly. Canadian Journal of Economics. 2010;43(3):1040-1057.
Salm M. Does job loss cause ill health?. Health Economics. 2009;18(9):1075-1089. doi:10.1002/hec.1537.
Saldana SLee. Comparing Cognitive Functioning in White Mexican/Mexican Americans and non-Hispanic White Americans with and without Type 2 Diabetes. Department of Psychology. 2019;Master of Science:49.
Sakshaug JW, Couper MP, Ofstedal MBeth. Characteristics of physical measurement consent in a population-based survey of older adults. Medical Care. 2010;48(1):64-71. doi:10.1097/mlr.0b013e3181adcbd3.
Sakshaug JW, Couper MP, Ofstedal MBeth, Weir DR. Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research. 2012;41(4):535-569. doi:10.1177/0049124112460381.