HRS Bibliography

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Hurd MD, Meijer E, Moldoff M, Rohwedder S. Reducing cross-wave variability in survey measures of household wealth. Journal of Economic and Social Measurement. 2020;44:117-139. doi:10.3233/JEM-190465.
Tipirneni R, Ganguli I, Ayanian JZ, Langa KM. Reducing Disparities in Healthy Aging Through an Enhanced Medicare Annual Wellness Visit. Public Policy & Aging Report. 2019;29(1):26-32. doi:10.1093/ppar/pry048.
Sakshaug JW. Reducing Nonresponse and Data Linkage Consent Bias in Large-Scale Panel Surveys. Forum for Health Economics and Policy. Forthcoming. doi:10.1515/fhep-2021-0060.
Sakshaug JW. Reducing Nonresponse and Linkage Consent Bias in Large-Scale Panel Surveys. 2021.PDF icon Download PDF (193.87 KB)
Hill DH, Willis RJ. Reducing Panel Attrition: A Search for Effective Policy Instruments. Journal of Human Resources. 2001;36(3):416-38. doi:10.2307/3069625.
Li X, Engel CC, Kang H, Gore KL. Reducing selection bias in analyzing longitudinal health data with high mortality rates. Journal of Modern Applied Statistical Methods. 2010;9(2):Article 2.
Poterba JM, Rauh J, Venti SF, Wise DA. Reducing Social Security PRA Risk at the Individual Level: Life-Cycle Funds and No-Loss Strategies. In: Social Security Policy in a Changing Environment. Social Security Policy in a Changing Environment. University of Chicago Press; 2009:255-292.
McLaren CF. Reducing the Economic Burden of Work-Related Injuries. 2014;3580237:148.
Ferraro KF, Sauerteig MR, Williams-Farrelly M. REDUCING THE IMPACT OF CHILDHOOD MISFORTUNE: THE ROLE OF ADULT PHYSICAL ACTIVITY ON LATER OBESITY. Innovation in Aging. 2019;3(Suppl 1):S57 - S57.
Webb A, Sass SA. Is the Reduction in Older Workers’ Job Tenure a Cause for Concern?. Center for Retirement Research at Boston College; 2010.
News HD. Reduction in Vial Size of Aducanumab Could Yield Savings.
Falba T, Jofre-Bonet M, Busch SH, Duchovny N, Sindelar JL. Reduction of quantity smoked predicts future cessation among older smokers. Addiction. 2004;99(1):93-102.
Elder TE. Reemployment Patterns of Displaced Older Workers. Northwestern University; 2001.
Ayalon L. Re-examining ethnic differences in concerns, knowledge, and beliefs about Alzheimer's disease: results from a national sample. International Journal of Geriatric Psychiatry. 2013;28(12):1288-1295. doi:10.1002/gps.3959.
Lu P, Shelley M, Liu Y-L. Reexamining the poverty cycle in middle and late adulthood: Evidence from the Health and Retirement Study 2002–2014. International Journal of Social WelfareInternational Journal of Social Welfare . 2020. doi:https://doi.org/10.1111/ijsw.12454.
Zuckerman S, Shang B, Waidmann TA. Reforming beneficiary cost sharing to improve Medicare performance. Inquiry. 2010;47(3):215-25. doi:10.5034/inquiryjrnl_47.03.215.
http://www.ncbi.nlm.nih.gov/pubmed/21155416?dopt=Abstract
Tyrowicz J, Makarski K, Bielecki M. Reforming retirement age in DB and DC pension systems in an aging OLG economy with heterogenous agents. IZA Journal of Labor Policy. 2016;5(1). doi:10.1186/s40173-016-0067-8.
Zang E, Lynch SM, West JS. Regional differences in the impact of diabetes on population health in the USA. Journal of Epidemiology & Community Health. 2020. doi:10.1136/jech-2020-214267.
Kim JH. Is regional income inequality associated with the individual health of older adults? Evidence from the Health and Retirement Study. Poverty & Public Policy. 2016;8(4):416-429. doi:10.1002/pop4.v8.410.1002/pop4.157.
Luo D. Regional variation in healthcare usage for Medicare beneficiaries: a cross-sectional study based on the health and retirement study. BMJ Open. 2022;12(8):e061375. doi:10.1136/bmjopen-2022-061375.
Nicholas LHersch, Langa KM, Iwashyna TJ, Weir DR. Regional variation in the association between advance directives and end-of-life Medicare expenditures. JAMA. 2011;306(13):1447-53. doi:10.1001/jama.2011.1410.
http://www.ncbi.nlm.nih.gov/pubmed/21972306?dopt=Abstract
Ailshire JA, Walsemann KM, Fisk CE. Regional variation in U.S dementia trends from 2000-2012. SSM - Population Health. 2022;19:101164. doi:https://doi.org/10.1016/j.ssmph.2022.101164.
Grand MKlinten, Putter H. Regression models for expected length of stay. Statistics in Medicine. 2016;35(7):1178-1192. doi:10.1002/sim.6771.
Chowdhury RI, M. Islam A. Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data. Biometrical Journal. 2020;n/a. doi:10.1002/bimj.201800101.
Manganaro J. Regret Is a Powerful Savings, Planning Motivator: New Study.