HRS Bibliography

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Fang C, Kapinos K. Prospective Social Security Wealth Measures of Pre-Retirees Wave 10. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (293.22 KB)
Fang MC, Hanna SD, Chatterjee S. The impact of immigrant status and racial/ethnic group on differences in responses to a risk aversion measure. Journal of Financial Counseling and Planning. 2013;24(2):63-76.
Fang H, Gavazza A. Dynamic Inefficiencies in an Employment-Based Health Insurance System: Theory and Evidence. Am Econ Rev. 2011;101(7):3047-77. doi:10.1257/aer.101.7.3047.
http://www.ncbi.nlm.nih.gov/pubmed/29517886?dopt=Abstract
Fang H, Gavazza A. Dynamic Inefficiencies in an Employment-Based Health Insurance System: Theory and Evidence. Duke University; 2010.
Fang C, Butchart A, Stolyarova H. Health and Retirement Study Imputations for Employer-Sponsored Pension Wealth from Current Jobs in 2010: Data Description and Usage. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (283.74 KB)
Fang C. Health and Retirement Study Imputation of Lifetime Earnings: Data Description and Technical Documentation. Ann Arbor, MI: Institute for Social Research, University of Michigan ; 2021.PDF icon HRS Imputation of Lifetime Earnings.pdf (297.85 KB)
Fang C. The Effect of Affordable Care Act Medicaid Expansion on Post-Displacement Labor Supply among the Near-Elderly . Ann Arbor, MI: Michigan Retirement Research Center, Institute for Social Research, University of Michigan; 2017:1-41.
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)
Fang C, Langa KM, Levy HG, Weir DR. Racial Difference in the Use of VA Health Services. Ann Arbor, MI, Michigan Reirement Research Center, University of Michigan; 2015.
Fang H, Gavazza A. Dynamic Inefficiencies in Employment-Based Health Insurance System: Theory and Evidence. Cambridge, MA: National Bureau of Economic Research; 2007. doi:10.3386/w13371.
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.
Fardfini K. Dyadic Associations between Body Mass Index, Stress and Type 2 Diabetes Complications . Psychology. 2021;M.A.
Farina MP, Klopack E, Umberson D, Crimmins E. The embodiment of parental death in early life through accelerated epigenetic aging: Implications for understanding how parental death before 18 shapes age-related health risk among older adults. SSM - Population Health. 2024:101648. doi:https://doi.org/10.1016/j.ssmph.2024.101648.
Farina MP, Ailshire JA. Sociodemographic and health status differences in delaying medical care during the COVID-19 pandemic among older adults: findings from the Health and Retirement Study. BMC Public Health. 2022;22(1):1720. doi:10.1186/s12889-022-14118-4.
Farina MP, Kim JK, Hayward MD, Crimmins EM. Links between inflammation and immune functioning with cognitive status among older Americans in the Health and Retirement Study. Brain, Behavior, & Immunity - Health. 2022;26:100559. doi:10.1016/j.bbih.2022.100559.
Farina MP, Kim JK, Crimmins EM. Racial/Ethnic Differences in Biological Aging and Their Life Course Socioeconomic Determinants: The 2016 Health and Retirement Study. Journal of Aging and Health. 2023. doi:10.1177/08982643221120743.
Farina MP, Hayward MD, Crimmins EM, Kim JK. Racial and educational disparities in cognitive life expectancies. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. 2020;75(7):e105-e112. doi:10.1093/geronb/gbz046.
Farina MP, Zhang YS, Kim JK, Hayward MD, Crimmins EM. Trends in Dementia Prevalence, Incidence, and Mortality in the United States (2000-2016). Journal of Aging and Health. 2022;34(1):100-108. doi:10.1177/08982643211029716.
Farmer HR, Thierry AD, Whitfield KE. Current and Future Directions in Minority Aging: Embracing Interdisciplinary Models. Innovation in Aging. 2021;5(Suppl _1):98. doi:https://doi.org/10.1093/geroni/igab046.368.
Farmer HR. An Intersectional Perspective on the Relationships Among Social Status, Self-reported Discrimination, and Low-grade C-Reactive Protein in the Health and Retirement Study. Biobehavioral Health. 2018;Doctor of Philosophy:205.
Farmer HR, Wray LA, Thomas JR. Do race and everyday discrimination predict mortality risk? Evidence from the Health and Retirement Study. Gerontology & Geriatric Medicine. 2019;5:2333721419855665. doi:10.1177/2333721419855665.
http://www.ncbi.nlm.nih.gov/pubmed/31276018?dopt=Abstract
Farmer HR, Wray LA, Haas SA. Race, Gender, and Socioeconomic Variations in C-Reactive Protein Using the Health and Retirement Study. The Journals of Gerontology: Series B. 2021;76(3):583–595. doi:10.1093/geronb/gbaa027.
Farmer HR, Tobin CSThomas, Thorpe, Jr. RJ. Correlates of Elevated C-Reactive Protein among Black Older Adults: Evidence from the Health and Retirement Study. The Journals of Gerontology, Series B . 2022;77(11):1964-1977. doi:10.1093/geronb/gbac033.
Farmer HR, Ambroise AZ, Green MD, Dupre ME. Everyday discrimination and age-related trajectories of blood pressure among Black and White middle-aged and older adults. Stigma and Health. 2024. doi:https://doi.org/10.1037/sah0000524.
Farmer HR, Wray LA, Xian Y, et al. Racial Differences in Elevated C-Reactive Protein Among US Older Adults. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY. 2019;68(2):362-369. doi:10.1111/jgs.16187.