HRS Bibliography

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McGarry K. Testing Parental Altruism: Implications of a Dynamic Model. NBER; 2000.
Conley DC, Siegal ML, Domingue BW, Harris KMullan, McQueen MB, Boardman JD. Testing the key assumption of heritability estimates based on genome-wide genetic relatedness. J Hum Genet. 2014;59(6):342-5. doi:10.1038/jhg.2014.14.
http://www.ncbi.nlm.nih.gov/pubmed/24599117?dopt=Abstract
Callaghan BC, McCammon RJ, Kerber K, Xu X, Langa KM, Feldman EL. Tests and expenditures in the initial evaluation of peripheral neuropathy. Arch Intern Med. 2012;172(2):127-32. doi:10.1001/archinternmed.2011.1032.
http://www.ncbi.nlm.nih.gov/pubmed/22271119?dopt=Abstract
Manganaro J. These Factors Drive Americans to Retire Earlier Than Expected.
Schwartz ND, Marcos CMurphy. They Didn’t Expect to Retire Early. The Pandemic Changed Their Plans. The New York Times. https://www.nytimes.com/2021/07/02/business/economy/retire-early-pandemic-social-security.html?action=click&module=Spotlight&pgtype=Homepage. Published 2021.
Mulholland BS. A Three Essay Examination of Life Insurance. 2014.
Zhang X. Three Essays in Applied Microeconomics. Economics. 2013;Ph.D.
Markowski MP. Three Essays on Cancer Survivorship and Labor Supply. College of Health and Human Development. 2010;Doctor of Philosophy.
Yoo M. Three essays on health care spending. 2012;Ph.D. doi:10.7282/T3WM1C5J.
Mohanan M. Three Essays on the Effects of Health Shocks. 2009.
Marples D. Three Essays on the Estate Tax. Economics. 2001;Doctor of Philosophy.
Palloni A, McEniry M, Wong R, Pelaez M. The tide to come: elderly health in Latin America and the Caribbean. J Aging Health. 2006;18(2):180-206. doi:10.1177/0898264305285664.
http://www.ncbi.nlm.nih.gov/pubmed/16614340?dopt=Abstract
Brown M, Mazzocco M, Scholz JKarl, Seshadri A. Tied Transfers. University of Wisconsin-Madison, Dept. of Economics; 2006.
Huffman D, Maurer R, Mitchell OS. Time discounting and economic decision-making among the elderly. Cambridge, MA: National Bureau of Economic Research; 2016:1-40. doi:10.3386/w22438.
Huffman D, Maurer R, Mitchell OS. Time discounting and economic decision-making among the elderly. Cambridge, MA: National Bureau of Economic Research; 2016:1-40. doi:10.3386/w22438.
Huffman D, Maurer R, Mitchell OS. Time discounting and economic decision-making in the older population. The Journal of the Economics of Ageing. 2019;14. doi:10.1016/j.jeoa.2017.05.001.
Huffman D, Maurer R, Mitchell OS. Time discounting and economic decision-making in the older population. The Journal of the Economics of Ageing. 2019;14. doi:10.1016/j.jeoa.2017.05.001.
Kämpfen F, Maurer J. Time to Burn (Calories)? The Impact of Retirement on Physical Activity among Mature Americans. Journal of Health Economics. 2016;45:91-102. doi:http://dx.doi.org/10.1016/j.jhealeco.2015.12.001.
Riffe T, Chung PH, Spinjker J, MacInnes J. Time-to-Death Patterns in Markers of Age and Dependency. Rostock, Germany, Max Planck Institute for Demographic Research; 2015.
Riffe T, Chung PH, Spijker J, MacInnes J. Time-to-death patterns in markers of age and dependency. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:229-254. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s229.
Matsuyama Y. Time-varying exposure analysis of the relationship between sustained natural dentition and cognitive decline. J Clin Periodontol. 2023;50(6):727-735. doi:10.1111/jcpe.13786.
Mehri N. Title Living Longer but Unhealthier? Spouse Caregivers' Health and Mortality in the US (2004-2014). Gerontology. 2020;Doctor of Philosophy.
Munnell AH, Chen A, Webb A. To What Extent Does SES Status Lead People to Retire Too Soon?. Center for Retirement Research at Boston College; 2015.
McCrory C, McLoughlin S, Layte R, et al. Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis. Psychoneuroendocrinology. 2023;153:106117. doi:10.1016/j.psyneuen.2023.106117.
McCrory C, McLoughlin S, Layte R, et al. Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis. Psychoneuroendocrinology. 2023;153:106117. doi:10.1016/j.psyneuen.2023.106117.