HRS Bibliography
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Medical insurance and the use of health care services by the elderly. J Health Econ. 1997;16(2):129-54. doi:10.1016/s0167-6296(96)00515-2.
. http://www.ncbi.nlm.nih.gov/pubmed/10169091?dopt=Abstract
Saving for Retirement: Wage Growth and Unexpected Events. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2002.
. The Effects of Bracketing and Anchoring on Measurement in the Health and Retirement Study. University of Michigan, Institute for Social Research; 1998.
. The Effects of the Economic Crisis on the Older Population. Ann Arbor, MI: The University of Michigan; 2010.
. Consumption and Saving Balances of the Elderly: Experimental Evidence on Survey Response Bias. In: Frontiers in the Economics of Aging. Frontiers in the Economics of Aging. Chicago: Univ. of Chicago Press; 1998:353-387.
. Inter-Vivos Giving Over the Lifecycle. Santa Monica, CA: RAND Corporation ; 2011. doi:https://doi.org/10.7249/WR524-1.
. Evaluation of Subjective Probability Distributions in the HRS. National Bureau of Economic Research; 1993. doi:10.3386/w4560.
. Trends in Labor Force Participation: How Much is Due to Changes in Pensions?. Journal of Population Ageing. 2011;4(1-2):81-96. doi:10.1007/s12062-011-9042-8.
. Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey. Fisc Stud. 2009;30(3-4):435-459. doi:10.1111/j.1475-5890.2009.00103.x.
. http://www.ncbi.nlm.nih.gov/pubmed/21052480?dopt=Abstract
Distribution of lifetime nursing home use and of out‐of‐pocket spending. Proceedings of the National Academy of Sciences. 2017;114(37):9838–9842. doi:10.1073/pnas.1700618114.
. Adequacy of Economic Resources in Retirement and Returns-to-scale in Consumption. The University of Michigan, Michigan Retirement Research Center; 2008.
. The Effect of the Risk of Out-of-Pocket Spending for Health Care on Economic Preparation for Retirement. The University of Michigan, Michigan Retirement Research Center; 2010.
. Spending Trajectories After Age 65. Santa Monica, CA: RAND Corporation; 2022. doi:10.7249/RRA2355-1.
. 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.
. Living longer, working longer. Commentary (The RAND Blog).
. Future Monetary Costs of Dementia in the United States under Alternative Dementia Prevalence Scenarios. Journal of Population Ageing. 2015;8(1-2):101-112. doi:10.1007/s12062-015-9112-4.
. Labor Market Transitions in the HRS: Effects of the Subjective Probability of Retirement and of Pension Eligibility. In: Wealth, Work and Health: Innovations in Measurement in the Social Sciences. Wealth, Work and Health: Innovations in Measurement in the Social Sciences. Ann Arbor, MI: University of Michigan Press; 1999:267-90.
. Evaluation of the Subjective Probabilities of Survival in the Health and Retirement Study. Journal of Human Resources. 1995;30:S268-92. doi:10.2307/146285.
. The Predictive Validity of Subjective Probabilities of Survival. The Economic Journal. 2002;112(482).
. Consumption and Differential Mortality. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2011.
. Intervivos Giving in the Older Population: Who Receives Financial Gifts from the Childless?. Ageing Soc. 2009;29(8):1207-1225. doi:10.1017/S0144686X08008362.
. http://www.ncbi.nlm.nih.gov/pubmed/23487586?dopt=Abstract
Anchoring and Acquiescence Bias in Measuring Assets in Household Surveys. Journal of Risk and Uncertainty. 1999;19:111-36. doi:10.1023/A:1007819225602.
. The Retirement-Consumption Puzzle: Anticipated and Actual Declines in Spending at Retirement. Cambridge, MA: The National Bureau of Economic Research; 2003. doi:10.3386/w9586.
. Forecasting Employment of the Older Population . In: Overtime: America's Aging Workforce and the Future of Working Longer. Overtime: America's Aging Workforce and the Future of Working Longer. Oxford University Press; 2022:155-174. doi:10.1093/oso/9780197512067.003.0008.
. Genetic markers of dopaminergic transmission predict performance for older males but not females. Neurobiology of Aging. 2018;66(180):.e11-180.e21. doi:10.1016/j.neurobiolaging.2018.02.005.
. http://www.ncbi.nlm.nih.gov/pubmed/29525179?dopt=Abstract