HRS Bibliography | Health and Retirement Study

Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.

http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract

Lohman MC, Mezuk B. Construct overlap between depression and frailty in later life: evidence from the health and retirement study. Comprehensive Psychiatry. 2013;54(1):e6.

Mitchell OS, Olson J, Steinmeier TL. Construction of the Earnings and Benefits File (EBF) for Use With the Health and Retirement Survey. National Bureau of Economic Research; 1996. doi:10.3386/w5707.

Mitchell OS, Olson J, Steinmeier TL. Construction of the Earnings and Benefits File (EBF) for Use with the Health and Retirement Study. University of Pennsylvania; 1996.

Note - An updated and revised version of this paper is available in Forecasting Retirement Needs and Retirement Wealth, Olivia S. Mitchell, P. Brett Hammond and Anna M. Rappaport, eds., Philadelphia: University of Pennsylvania Press, 2000. See Chapter 13, "Social Security Earnings and Projected Benefits"

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McGarry BE, Tempkin-Greener H, Grabowski DC, Chapman BP, Li Y. Consumer decision-making abilities and long-term care insurance purchase. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2017. doi:10.1093/geronb/gbx059.

http://www.ncbi.nlm.nih.gov/pubmed/28541583?dopt=Abstract

Campbell JY, Jackson HE, Madrian BC, Tufano P. Consumer Financial Protection. The Journal of Economic Perspectives. 2011;25(1):91-91-114. doi:10.1257/jep.25.1.91.

Consumer Financial Protection Bureau: Retirement Security and Financial Decision-making - Research Brief. Washington, D.C.: Consumer Financial Protection Bureau; 2020.

Hong G-S, White-Means SI. Consumer Preferences for Health Care Reform Options. Journal of Consumer Affairs. 1999;33(2):237-53.

Hurd MD, Rohwedder S. Consumption and Differential Mortality. The University of Michigan, Michigan Retirement Research Center; 2011.

Hurd MD, Rohwedder S. Consumption and Economic Well-Being at Older Ages: Income- and Consumption-Based Poverty Measures in the HRS. Santa Monica, CA: RAND Corporation; 2006. doi:https://doi.org/10.7249/WR410.

Hurd MD, McFadden D, Chand H, Gan L, Merrill A, Roberts MEwing. Consumption and Saving Balances of the Elderly: Experimental Evidence on Survey Response Bias. In: Wise DA, ed. Frontiers in the Economics of Aging. Frontiers in the Economics of Aging. Chicago: Univ. of Chicago Press; 1998:353-387.

Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.

Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption Behavior, Annuity Income and Mortality Risk of the Elderly. Tilburg, The Netherlands, Netspar; 2014.

Pounder L. Consumption Response to Expected Future Income.; 2009.

Laitner J, Silverman DS. Consumption, Retirement, and Social Security: Evaluating the Efficiency of Reform with a Life-Cycle Model. The University of Michigan, Michigan Retirement Research Center; 2006.

Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.

http://www.ncbi.nlm.nih.gov/pubmed/28911009?dopt=Abstract

McArdle JJ. Contemporary Challenges of Longitudinal Measurement Using HRS Data. In: Walford G, Tucker E, Viswanathan M, eds. The Sage Handbook of Measurement. The Sage Handbook of Measurement. London: Sage Publications; 2009.

McArdle JJ, Prescott CA. Contemporary Modeling of Gene × Environment Effects in Randomized Multivariate Longitudinal Studies. Perspect Psychol Sci. 2010;5(5):606-21. doi:10.1177/1745691610383510.

http://www.ncbi.nlm.nih.gov/pubmed/22472970?dopt=Abstract

Mehta NK. Contemporary Topics in American Adult Health and Mortality: Obesity and immigration. 2009.

Wilkinson LR, Ferraro KF, Kemp BR. Contextualization of Survey Data: What Do We Gain and Does It Matter?. Research in Human Development. 2017;14(3):234-252. doi:10.1080/15427609.2017.1340049.

Grollman EAnthony. The continuing significance of discrimination: Multiple forms of discrimination and health. 2013;3587339:372.

Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.

http://www.ncbi.nlm.nih.gov/pubmed/19995831?dopt=Abstract

Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Hum Mol Genet. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097.

http://www.ncbi.nlm.nih.gov/pubmed/25784503?dopt=Abstract

Kaufman J, Gallo WT, Fahs MC. The contribution of dementia to the disparity in family wealth between black and non-black Americans. Ageing and Society. 2020;40:306-327. doi:10.1017/S0144686X18000934.

Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS Genet. 2015;11(4):e1005103. doi:10.1371/journal.pgen.1005103.

http://www.ncbi.nlm.nih.gov/pubmed/25856144?dopt=Abstract