HRS Bibliography

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Bozio A, Emmerson C, O'Dea C, Tetlow G. Savings and Wealth of the Lifetime Rich: Evidence from the UK and US. London, Institute for Fiscal Studies; 2013.
Bond SA, Eriksen MD. The Role of Parents on the Home Ownership Experience of Their Children: Evidence from the Health and Retirement Study. Cincinnati, OH: University of Cincinnati; 2019. doi:http://dx.doi.org/10.2139/ssrn.3044708.
Brown C. The Role of Conventional Retirement Age in Retirement Decisions. The University of Michigan, Michigan Retirement Research Center; 2006.
Bajtelsmit VL, Bernasek A. Risk Preferences and the Investment Decisions of Older Americans. Public Affairs at AARP; 2001.
Bajtelsmit VL, Bernasek A. Risk Preferences and the Investment Decisions of Older Americans. Public Affairs at AARP; 2001.
Brown J, Dynan K, Figinski TF. The Risk of Financial Hardship in Retirement: A Cohort Analysis. Philadelphia, PA: Wharton Pension Research Council, University of Pennsylvania; 2019.
Cormier W, Blanchett D. Right-Sizing Retirement: Exploring the Retirement Consumption Gap in Early Retirement. Washington, D.C.: Defined Contribution Institutional Investment Association ; 2020.
Benjamins MReindl. Religion and the Use of Female Preventive Services. University of Texas at Austin; 2004.
Butrica BA, Karamcheva NS. The Relationship Between Automatic Enrollment and DC Plan Contributions: Evidence from a National Survey of Older Workers. Boston, MA, Center for Retirement Research at Boston College; 2015.
Butrica BA, Johnson RW. Racial, Ethnic, and Gender Differentials in Employer-Sponsored Pensions. Washington, D.C.: Urban Institute; 2010.
Brown DR, Cochran D, McGregor KC. Race Differences in the Multiple Social Roles of Midlife Women: Implications for Mental Well-Being.; 1996.
Burkhauser RV, Quinn JF. Pro-Work Policy Proposals for Older Americans in the 21st Century. Syracuse University, Maxwell School of Citizenship and Public Policy; 1997.
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.
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.
Barsky R, Bound J, Charles KK, Lupton JP. A Precise Characterization of The Black-White Wealth Gap. University of Michigan; 2001.
Barsky R, Bound J, Charles KK, Lupton JP. A Precise Characterization of The Black-White Wealth Gap. University of Michigan; 2001.
Bronshtein G, Scott JS, Shoven JB, Slavov SNataraj. The Power of Working Longer. Cambridge, MA: National Bureau of Economic Research; 2018. doi:10.3386/w24226.
Brown C. Post-Retirement Adjustments in Defined Benefit Pensions. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2010.
Fang C, Butchart A, Stolyarova H, Nolte MA, Peticolas R. Pension Estimation Program Users Guide. Ann Arbor, Michigan: University of Michigan; 2016.PDF icon Download PDF (1.31 MB)
Bassett WF, Lumsdaine RL. Outlook, Outcomes, and Optimism. Brown University; 1999.
Burkhauser RV, Butler JS, Gumus G. Option Value and Dynamic Programming Model Estimates of Social Security Disability Insurance Application Timing. Bonn, Germany: Institute for the Study of Labor (IZA); 2003.
Burkhauser RV, Butler JS, Gumus G. Option Value and Dynamic Programming Model Estimates of Social Security Disability Insurance Application Timing. Bonn, Germany: Institute for the Study of Labor (IZA); 2003.
Brown M, Scholz JKarl, Seshadri A. A New Test of Borrowing Constraints for Education. Cambridge, MA: National Bureau of Economic Research; 2009. doi:10.3386/w14879.
Bures RM. Moving the Nest: A Look at the Effects of Family and Work Status Change in Later Mid-Life. University of Chicago - Population Research Center; 1998.
Bauer D, Reif J. Mortality Risk, Insurance, and the Value of Life. Cambridge, United States: National Bureau of Economic Research, Inc.; 2018.