HRS Bibliography

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Baird MD, Zaber MA, Chen A, et al. Societal Impact of Research Funding for Women's Health in Rheumatoid Arthritis. Santa Monica, CA: RAND Corporation; 2022.
Arpino B, Bordone V, Scherbov S. Smoking, Education and the Ability to Predict Own Survival Probabilities: An Observational Study on US Data. Laxenburg, Austria: International Institute for Applied Systems Analysis ; 2017.
Ayyagari P, Deb P, Fletcher JM, Gallo WT, Sindelar JL. Sin Taxes: Do Heterogeneous Responses Undercut Their Value?. Cambridge, MA: The National Bureau of Economic Research; 2009. doi:10.3386/w15124.
Alessandro B, Coriele C, Luca Z. The Shared Non-cognitive Roots of Health and Socioeconomic Status: Evidence from the US. Verona, Italy : University of Verona; 2020.
vanSoest AHO, Arie K. Savings, Portfolio Choice, and Retirement Expectations. The University of Michigan, Michigan Retirement Research Center; 2006.
Au A, Mitchell OS, Phillips JWR. Saving Shortfalls and Delayed Retirement. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2005.
S. Akin N, Leukhina O. Risk-Sharing Within Families: Evidence From the Health and Retirement Study. Coral Gables, FL, University of Miami, Department of Economics; 2013.
Mitchell OS, Phillips JWR, Au A, McCarthy D. Retirement Wealth and Lifetime Earnings Variability. Philadelphia: University of Pennsylvania, Wharton School; 2003.
Joondeph B, Altman NJ, Gokhale J, Shuart A. Retirement Trajectories and Social Security’s Retirement Earnings Test. Washington, DC: Social Security Advisory Board; 2023.
Armour P, Carman K, Hung A. Retirement Security and Financial Decision Making. Santa Monica, CA: RAND Corporation; 2019. doi:https://doi.org/10.7249/WR1224.
Knapp D, Asch B, Hosek J, Mattock M. The Retirement and Social Security Benefit Claiming of U.S. Military Retirees. Ann Arbor, MI, Michigan Retirement Research Center; 2015.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
Ayyagari P, Wang Y. Nursing Home Use Expectations and Wealth Accumulation Among Older Adults. Madison, WI: Center for Financial Security, University of Wisconsin-Madison; 2020.
Alvarez RVazquez, Melenberg B, vanSoest AHO. Nonparametric Modeling of the Anchoring Effect in an Unfolding Bracket Design. Tilburg, NE, Tilburg University, Center for Economic Research Discussion Paper; 1999.
Angrisani M, Kapteyn A, Meijer E. Nonmonetary Job Characteristics and Employment Transitions at Older Ages. Ann Arbor, MI, University of Michigan; 2015.
Alessandro B, Zarri L. The Non-Cognitive Roots of Civic Honesty: Evidence from the US. Verona, Italy: University of Verona; 2021.
Abramowitz J. New Insights on Self-Employment of Older Adults in the United States. Boston: Center for Retirement Research at Boston College; 2020.
Mitchell OS, Phillips JWR, Au A. Modeling Lifetime Earnings Paths: Hypothetical versus Actual Workers. University of Pennsylvania, Boettner Center for Pe, Pension Research Council WP 2004-3; 2004.
Wiener JM, Anderson WL, Khatutsky G, Kaganova Y, O'Keeffe J. Medicaid Spend Down: Implications for Long-Term Services and Supports and Aging Policy. Long Beach, CA, The SCAN Foundation; 2013.
An C-B, Jeon S-H. Measuring the Optimal Income Replacement Rate: A Panel Data Analysis. Sungkyunkwan University, Korea; Dept. of Economics; 2003.
Altonji JG, Villanueva E, Department of Economics. The Marginal Propensity to Spend on Adult Children. New Haven, Connecticut, Yale University; 2004.
Altonji JG, Villanueva E. The Marginal Propensity to Spend on Adult Children. Cambridge, MA: The National Bureau of Economic Research; 2003. doi:10.3386/w9811.
Heflin C, Zuo D, Alphonso G. Limited Cognitive Ability May Reduce SNAP Participation among Older Adults . Syracuse, NY: Center for Aging and Policy Studies, Syracuse University ; 2022.
Mitchell OS, Phillips JWR, Au A, McCarthy D. Lifetime Earnings Variability and Retirement Wealth. Ann Arbor, MI: Michigan Retirement Research Center at the University of Michigan, ; 2003. doi:https://dx.doi.org/10.2139/ssrn.1091441.
Ameriks J, Briggs JS, Caplin A, Shapiro MD, Tonetti C. Late-in-Life Risks and the Under-Insurance Puzzle. Cambridge, MA: National Bureau of Economic Research; 2016:1-62. doi:10.3386/w22726.