DMC Review Papers

The HRS is a cooperative agreement between the University of Michigan and the National Institute on Aging (NIA). The large multidisciplinary group of co-investigators have primary responsibility to formulate and implement the study's scientific mission. In addition, the NIA appoints a Data Monitoring Committee (DMC) comprised of distinguished scholars in aging research. The DMC is advisory to the NIA on the overall success of the HRS, but it also helps identify important scientific issues that can inform enhancements to the study's design and content. To help accomplish this goal, once each six-year renewal period, the DMC has commissioned review papers on topics thought to be important in the present and in the future. Members of the scientific community with relevant expertise are asked to evaluate how well the HRS is currently doing in a given area and to make recommendations. Papers from four separate reviews are linked below from 2002, 2010, 2016, and 2021.

2021

Monnat SM, Elo I. Enhancing the Utility of the Health and Retirement Study to Identify Drivers of Rising Mortality Rates in the United States. 2021.

Mullen KJ. Using the Health and Retirement Study for Research on the Impact of the Working Conditions on the Individual Life Course. 2021.

Torres J, Glymour M. Future Directions for the HRS Harmonized Cognitive Assessment Protocol. 2021.

Dick C. The Health and Retirement Study: Contextual Data Augmentation. 2021.

Sakshaug JW. Reducing Nonresponse and Linkage Consent Bias in Large-Scale Panel Surveys. 2021.

2016

Agree EM, Wolf DA. Disability Measurement in the Health and Retirement Study. 2016.

Caplin A. New Methods for Measuring Retirement Wealth in the HRS. 2016.

Coile C, Maestas N. The Value of the Health and Retirement Study for Health Economics Research. 2016.

Crosswell AD, Suresh M, Puterman E, Gruenewald TL, Lee J, Epel ES. Report on Stress Measurement in the Health and Retirement Study: Evaluation and Recommendations for Improvement. 2016.

French E, Jones JB, McCauley J. The Accuracy of Economic Measurement in the Health and Retirement Study. 2016.

Glymour M, Hofer SM. Studying Cognitive Aging and Dementia in the Health and Retirement Study: Design and Measurement Strategies to Improve Research. 2016.

Austin J, Reynolds C, Kaye J. Integrating Objective Health Measurement Using Sensors, Devices and Pervasive Computing in Large-Scale Surveys. 2016.

Lauderdale DS. Sleep and Aging in Population Research. 2016.

Spiro A III, Wilmoth JM, London AS. Assessing the Impact of Military Service in the Health and Retirement Study: Current Status and Suggestions for the Future. 2016.

Hyde JS, Stapleton D. Using the Health and Retirement Study for Disability Policy Research: A Review. 2016.

2010

Bianchi SM. Family Data and Research in the Health and Retirement Study (HRS). 2010.

2002

Kahneman D, Laibson DI. Review of the Health and Retirement Survey: Psychology and Econonmics. 2002.

Lachman ME, Spiro A III. Critique of Cognitive Measures in the Health Retirement Study (HRS) and the Asset and Health Dynamics Among the Oldest Old (AHEAD) Study. 2002.

Tienda M. Minorities and the Health and Retirement Survey: Future Analytic Opportunities and Data Requirements. 2002.

Kuller L. Health and Retirement Study External Review. DMC Commissioned Papers. 2002.

Bandeen-Roche K. HRS External Review: Longitudinal Aspects of Health. DMC Commissioned Papers. 2002.

Banks J. Economic Measures in the Health and Retirement Study. 2002.

Bumpass L. HRS/AHEAD:/Family-Related/Research. 2002.

Cutler DM. Evaluation of Health Questions in HRS. 2002.

Coile C, Gruber J. An Evaluation of the Retirement Questions in the Health and Retirement Study. 2002.

Hayward MD. Using the Health and Retirement Survey to Investigate Health Disparities. 2002.