HRS Bibliography

Bibliography Search
Export 497 results:
Filters: First Letter Of Last Name is S  [Clear All Filters]

S

Scholz JKarl, Seshadri A, Khitatrakun S. Are Americans saving "optimally" for retirement?. Cambridge, MA: The National Bureau of Economic Research; 2004. doi:10.3386/w10260.
Scholz JKarl, Seshadri A. Health and Wealth in a Life-Cycle Model. The University of Michigan, Michigan Retirement Research Center; 2010.
Scholz JKarl. Achieving Retirement Security or a Loophole Ridden Tax Code? Saving Incentives in the U.S. University of Wisconsin-Madison, Dept. of Economics; 2001.
Schonlau M, vanSoest AHO, Kapteyn A, Couper MP. Selection Bias in Web Surveys and the Use of Propensity Scores. Sociological Methods and Research. 2009;37(3):291-318. doi:https://doi.org/10.1177/0049124108327128.
Schonlau M, vanSoest AHO, Couper MP, Kapteyn A, Winter J. Adjust for Selection Bias in Web Surveys with Propensity Scores: The case of the Health and Retirement Study. Proceedings of the American Statistical Association. 2004.
Schreiber P. Widowhood and Retirement Timing: Evidence from the Health and Retirement Study. The B.E. Journal of Economic Analysis & Policy. 2018;18(3). doi:10.1515/bejeap-2017-0178.
Schulhofer-Wohl SA. Heterogeneity, Risk Sharing and the Welfare Costs of Risk. 2007.
Schwandt H. Wealth Shocks and Health Outcomes: Evidence from Stock Market Fluctuations. American Economic Journal: Applied Economics. 2018;10(4):349-377. doi:10.1257/app.20140499.
Schwandt H. Wealth Shocks and Health Outcomes: Evidence from Stock Market Fluctuations. Bonn, Germany, Institute for the Study of Labor; 2014.
Scott KA, Fisher GG, Barón AE, Tompa E, Stallones L, DiGuiseppi C. The Associations between Falls, Fall Injuries and Labor Market Outcomes among U.S. Workers 65 Years and Older. Journal of Occupational and Environmental Medicine. 2018. doi:10.1097/JOM.0000000000001379.
http://www.ncbi.nlm.nih.gov/pubmed/29905647?dopt=Abstract
Scott KA. Falls, Fall Injuries and the Aging Workforce. Epidemiology. 2016;Ph.D.:152.
Scott RG, Wiener CH, Paulson D. The Benefit of Moderate Alcohol Use on Mood and Functional Ability in Later Life: Due to Beers or Frequent Cheers?. Gerontologist. 2020;60(1):80-88. doi:10.1093/geront/gny129.
http://www.ncbi.nlm.nih.gov/pubmed/30358833?dopt=Abstract
Scott MMary. Gender Privilege in Retirement Planning and Saving. 1997.
Segel-Karpas D, Ayalon L, Lachman ME. Retirement and depressive symptoms: A 10-year cross-lagged analysis. Psychiatry Research. 2018;269:565-570. doi:10.1016/j.psychres.2018.08.081.
http://www.ncbi.nlm.nih.gov/pubmed/30199698?dopt=Abstract
Segel-Karpas D, Ermer AE. Hostility and Loneliness in Older Adult Married couples: An Indirect Effect through Friendships. Journal of Gerontology, Series B Psychological Sciences and Social Sciences. 2020. doi:10.1093/geronb/gbaa170.
Segel-Karpas D, Ayalon L. Loneliness and hostility in older adults: A cross-lagged model. Psychology and Aging. 2019.
Segel-Karpas D, Palgi Y. 'It is nothing more than a senior moment': The moderating role of subjective age in the effect of change in memory on self-rated memory. Aging & Mental Health. 2019;23(2):272-276. doi:10.1080/13607863.2017.1399350.
http://www.ncbi.nlm.nih.gov/pubmed/29125316?dopt=Abstract
Segel-Karpas D, Ayalon L, Lachman ME. Loneliness and depressive symptoms: the moderating role of the transition into retirement. Aging Ment Health. 2018;22(1):135-140. doi:10.1080/13607863.2016.1226770.
http://www.ncbi.nlm.nih.gov/pubmed/27624519?dopt=Abstract
Segel-Karpas D, Ayalon L. Loneliness and hostility in older adults: A cross-lagged model. Psychology and Aging. 2020;35(2):169–176. doi:10.1037/pag0000417.
Seipel T. Chronic Pain in Elderly, Dementia Linked: Researchers Say Use of Medications Such As Opioids Could Accelerate Cognitive Decline, but That More Studies Needed. The Mercury News. http://search.proquest.com/docview/1908757073/7443729E878D4F54PQ?accountid=14667. Published 2017.
Sekaran NK, Choi H, Hayward RA, Langa KM. Fall-associated difficulty with activities of daily living in functionally independent individuals aged 65 to 69 in the United States: a cohort study. J Am Geriatr Soc. 2013;61(1):96-100. doi:10.1111/jgs.12071.
http://www.ncbi.nlm.nih.gov/pubmed/23311555?dopt=Abstract
Self S, Basuroy S. Factors influencing healthcare choices by the elderly in India: role of social interactions. International Journal of Social Economics. 2017;44(9):1231-1251. doi:10.1108/IJSE-12-2015-0340.
Seligman B, Tuljapurkar S, Rehkopf D. Machine learning approaches to the social determinants of health in the Health and Retirement study. SSM Popul Health. 2018;4:95-99. doi:10.1016/j.ssmph.2017.11.008.
http://www.ncbi.nlm.nih.gov/pubmed/29349278?dopt=Abstract
Seligman JS. Involuntary Retirement, U.S. Social Security Program Participation and the Great Recession. Public Finance and Management. 2014;14(3):329-356.
Seligman JS, Bose R. Are DC Plans Tools for Learning? Pension Design, Financial Education, and Portfolio Choice for Older Workers. University of Georgia; 2005.