HRS Bibliography

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Vable AM, Kawachi I, Canning D, Glymour MM, Jimenez MP, Subramanian SV. Are There Spillover Effects from the GI Bill? The Mental Health of Wives of Korean War Veterans. PLoS One. 2016;11(5):e0154203. doi:10.1371/journal.pone.0154203.
Vable AM, Subramanian SV, Rist PM, Glymour MM. Does the Widowhood Effect Precede Spousal Bereavement? Results from a Nationally Representative Sample of Older Adults. American Journal of Geriatric Psychiatry. 2014. doi:10.1016/j.jagp.2014.05.004.
Vable AM, Kiang MV, Basu S, et al. Military Service, Childhood Socio-Economic Status, and Late-Life Lung Function: Korean War Era Military Service Associated with Smaller Disparities. Military Medicine. Forthcoming. doi:10.1093/milmed/usx196.
http://www.ncbi.nlm.nih.gov/pubmed/29509934?dopt=Abstract
Vable AM, Gilsanz P, Kawachi I. Is it possible to overcome the 'long arm' of childhood socioeconomic disadvantage through upward socioeconomic mobility?. Journal of Public Health (Oxf). Forthcoming. doi:10.1093/pubmed/fdz018.
http://www.ncbi.nlm.nih.gov/pubmed/30811528?dopt=Abstract
Vable AM. Changes to the Social Patterning of Economic Resources and the Distribution of Mental and Biological Health Markers. 2015.
Vable AM, Canning D, Glymour MM, Kawachi I, Jimenez MP, Subramanian SV. Can Social Policy Influence Socio-Economic Disparities? Korean War GI Bill Eligibility and Markers of Depression. Annals of Epidemiology. 2016;26(2):129 135.e3. doi:http://dx.doi.org/10.1016/j.annepidem.2015.12.003.
Vable AM, Gilsanz P, Nguyen TT, Kawachi I, Glymour MM. Validation of a theoretically motivated approach to measuring childhood socioeconomic circumstances in the Health and Retirement Study. PLoS One. 2017;12(10):e0185898. doi:10.1371/journal.pone.0185898.
http://www.ncbi.nlm.nih.gov/pubmed/29028834?dopt=Abstract
Vable AM, Eng CW, Mayeda ER, et al. Mother's education and late-life disparities in memory and dementia risk among US military veterans and non-veterans. Journal of Epidemiology and Community Health. 2018;72(12):1162-1167. doi:10.1136/jech-2018-210771.
http://www.ncbi.nlm.nih.gov/pubmed/30082424?dopt=Abstract
Vable AM, Nguyen TT, Rehkopf DH, Glymour MM, Hamad R. Differential associations between state-level educational quality and cardiovascular health by race: Early-life exposures and late-life health. SSM Population Health. 2019;8:100418. doi:10.1016/j.ssmph.2019.100418.
http://www.ncbi.nlm.nih.gov/pubmed/31249857?dopt=Abstract
Vaghela PM. Racial differences in the manifestation of mental illness among older adults. Sociology. 2016;Ph.D.:99.
Valle G, Weeks JA, Taylor MG, Eberstein IW. Mental and physical health consequences of spousal health shocks among older adults. Journal of Aging and Health. 2013;25(7):1121-42. doi:10.1177/0898264313494800.
Valliant R, Hubbard F, Lee S, Chang C. Efficient Use of Commercial Lists in U.S. Household Sampling. Journal of Survey Statistics and Methodology. 2014;2(2):182-209. doi:10.1093/jssam/smu006.
Vallone DM. Relative Deprivation and Resource Utilization as Explanations for SES Differentials in Adult Morbidity and Mortality. 2003.
Van Dam A. How these grandparents became America’s unofficial social safety net. The Washington Post. https://www.washingtonpost.com/us-policy/2019/03/23/how-these-grandparents-became-americas-unofficial-social-safety-net/?utm_term=.3cafc8231380. Published 2019.
Van Dam A. It’s better to be born rich than gifted. The Washington Post. https://www.washingtonpost.com/business/2018/10/09/its-better-be-born-rich-than-talented/?noredirect=on&utm_term=.e6c0cc49f545. Published 2018.
van der Klaauw W, Wolpin KI. Social Security and the Retirement and Savings Behavior of Low Income Households. Penn Institute for Economic Research, University of Pennsylvania; 2005.
van der Klaauw W, Wolpin KI. Social Security and the Retirement and Savings Behavior of Low-Income Households. Journal of Econometrics. 2008;145(1/2):21-42.
van der Klaauw W, Wolpin KI. Social Security, Pensions and the Savings and Retirement Behavior of Households. University of North Carolina at Chapel Hill; 2002.
van der Leeuw G, Ayers E, Blankenstein AH, van der Horst HE, Verghese J. The association between pain and prevalent and incident Motoric Cognitive Risk syndrome in older adults. Archives of Gerontology and Geriatrics. 2019:103991. doi:https://doi.org/10.1016/j.archger.2019.103991.
van Hedel K, Mejía-Guevara I, Avendaño M, et al. Work-Family Trajectories and the Higher Cardiovascular Risk of American Women Relative to Women in 13 European Countries. American journal of public health. 2016;106(8):1449-1456. doi:10.2105/AJPH.2016.303264.
Van Houtven CHarold, Norton EC. Informal care and Medicare expenditures: testing for heterogeneous treatment effects. J Health Econ. 2008;27(1):134-56. doi:10.1016/j.jhealeco.2007.03.002.
http://www.ncbi.nlm.nih.gov/pubmed/17462764?dopt=Abstract
van Houtven CH, Norton EC. Informal Care and Health Care Use of Older Adults. Journal of Health Economics. 2004;23(6):1159-1180.
van Houtven CH, Coe N, Skira MM. The effect of informal care on work and wages. Journal of health economics. 2013;32(1):240.
van Raalte AA, Sasson I, Martikainen P. The case for monitoring life-span inequality. Science. 2018;362(6418):1002-1004. doi:10.1126/science.aau5811.
van Soest A, Kapteyn A. Mode and Context Effects in Measuring Household Assets. RAND Corporation Publications Department Working Papers: 668; 2009.