HRS Bibliography

Bibliography Search
Export 710 results:
Filters: First Letter Of Title is E  [Clear All Filters]

Report

Morgan A. Experiencing Transitional Events in the Pre-Retirement Years. University of Massachusetts Boston, The Gerontology Institute; 2002.
Hurd MD, Smith JP. Expected Bequests and their Distribution. National Bureau of Economic Research; 2002.
Cox D, Way MMcDonald. Expectations versus Realizations of Familial Insurance: Evidence from the Great Recession of 2008. Boston College; 2011.
Benítez-Silva H, Dwyer DS, Gayle W-R, Muench TJ. Expectations in Micro Data: Rationality Revisited. The University of Michigan, Michigan Retirement Research Center; 2003.
Benítez-Silva H, Dwyer DS. Expectations Formation of Older Married Couples and the Rational Expectations Hypothesis. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2003.
Waidmann TA, Freedman VA, Himes CL, Ahmad S. Examining the Relationships between Excess Body Weight, Health and Disability. Washington, D.C.: Office of the Assistant Secretary for Planning and Evaluation; 2008.
Jones NSuper. Examining the Links Between Retirement and Health Insurance: Implications for Medicare Eligibility.; 1999.
Choi J, Goodman L, Katz J, Laibson DI, Ramnath S. The Evolution of Late-Life Income and Assets: Measurement in IRS Tax Data and Three Household Surveys. Cambridge, MA: National Bureau of Economic Research, Retirement and Disability Research Center; 2020.
Bajtelsmit VL. Evidence of Risk Aversion in the Health and Retirement Study. Colorado State University; 1999.
Bosworth B, Zhang K. Evidence of Increasing Differential Mortality: A Comparison of the HRS and SIPP. Boston College; 2015.
Bosworth B, Zhang K. Evidence of Increasing Differenctial Mortality: A Comparison of the HRS and SIPP. CRR WP 2015-13, Center for Retirement Research at Boston College; 2015.
Rust J. Evaluation of the HRS and RHS from a Decision-Theoretic Perspective. University of Michigan; 1993.
Hurd MD, McGarry K. Evaluation of Subjective Probability Distributions in the HRS. National Bureau of Economic Research; 1993. doi:10.3386/w4560.
Aguirregabiria V. Evaluation of Social Security reforms under alternative models of retirement and savings. University of Western Ontario; 2001.
Gouskova E. An Evaluation of HRS Sample Weights. Social Science Research Network; 2013.
Weir DR, Ofstedal MBeth. Evaluating Strategies for Reducing Field Costs in a Longitudinal Study. Ann Arbor, MI: Institute for Social Research, University of Michigan; 2016:1-8.PDF icon Download PDF (284.93 KB)
Bosworth B, Smart R. Evaluating Micro-Survey Estimates of Wealth and Saving. Boston: Center for Retirement Research at Boston College; 2009.
Goldman DP, Gertler PJ, Smith JP. Evaluating Health Care Reform Using the Health and Retirement Survey: A Case Study of the Health Security Act of 1993. RAND Corporation; 1994.
Cernat A, Couper MP, Ofstedal MBeth. Estimation of Mode Effects in the Health and Retirement Study using Measurement Models. Essex, UK, Institute for Social and Economic Research; 2015.
Hudomiet P, Willis RJ. Estimating Second Order Probability Beliefs from Subjective Survival Data. Cambridge, MA: National Bureau of Economic Research; 2012. doi:10.3386/w18258.
Jung J. Estimating Markov Transition Probabilities Between Health States Using U.S. Longitudinal Survey Data. Towson, MD: Towson University; 2020.
Laitner J, Silverman DS. Estimating Life-Cycle Parameters from Consumption Behavior at Retirement. The University of Michigan, Michigan Retirement Research Center; 2005.
Perry MM. Estimating Life Cycle Effects of Survival Probabilities in the Health and Retirement Study. The University of Michigan, Michigan Retirement Research Center; 2005.
Fang H, Wang Y. Estimating Dynamic Discrete Choice Models with Hyperbolic Discounting, with an Application to Mammography Decisions. Cambridge, MA: National Bureau of Economic Research; 2010. doi:10.3386/w16438.
Zheng B, Lu Q, Fletcher J. Estimating Causal Effects of Fertility on Life Course Outcomes: Evidence Using A Dyadic Genetic Instrumental Variable Approach.; 2023. doi:10.3386/w30955.