HRS Bibliography

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Journal Article

Haider S, Stephens, Jr. M. Is There a Retirement-Consumption Puzzle? Evidence Using Subjective Retirement Expectations. Review of Economics and Statistics. 2007;89(2):247-264. doi:https://doi.org/10.1162/rest.89.2.247.
Zhang Z, Hayward MD, Lu C. Is There a Hispanic Epidemiologic Paradox in Later Life? A Closer Look at Chronic Morbidity. Research on Aging. 2012;34(5):548-571. doi:10.1177/0164027511429807.
Willis RJ. Theory Confronts Data: How the HRS is Shaped by the Economics of Aging and How the Economics of Aging Will be Shaped by the HRS. Labour Economics. 1999;6(2):119-145. doi:10.1016/S0927-5371(99)00011-1.
Khamkhrueang C. Thailand and USA Education Administration about Life-Long Learning in the Form of a Project Held in the University. Journal of Positive School Psychology. 2022;6(5):8080-8086.
M. Islam A. Tests for Dependence in Binary Repeated Measures Data. Chowdhury RI, Alzaid A, eds. Journal of Statistical Research. 2012;46(2):203-217.PDF icon Tests for Dependence in Binary Repeated Measures Data.pdf (286 KB)
Callaghan BC, McCammon RJ, Kerber K, Xu X, Langa KM, Feldman EL. Tests and expenditures in the initial evaluation of peripheral neuropathy. Arch Intern Med. 2012;172(2):127-32. doi:10.1001/archinternmed.2011.1032.
http://www.ncbi.nlm.nih.gov/pubmed/22271119?dopt=Abstract
Lu P, Shelley M. Testing the missingness mechanism in longitudinal surveys: a case study using the Health and Retirement Study. International Journal of Social Research Methodology. Forthcoming. doi:10.1080/13645579.2022.2049509.
Lu P, Shelley M. Testing the Missing Mechanism of Demographic and Health Variables in the Health and Retirement Study. Innovation in Aging. 2020;4(Suppl 1):509. doi:10.1093/geroni/igaa057.1644.
Conley DC, Siegal ML, Domingue BW, Harris KMullan, McQueen MB, Boardman JD. Testing the key assumption of heritability estimates based on genome-wide genetic relatedness. J Hum Genet. 2014;59(6):342-5. doi:10.1038/jhg.2014.14.
http://www.ncbi.nlm.nih.gov/pubmed/24599117?dopt=Abstract
Bartolucci F, Belotti F, Peracchi F. Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data. Journal of Econometrics. 2015;184(1):111-123.
Bartolucci F, Nigro V, Pigini C. Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model. Econometric Reviews. 2018;37(1):61-88. doi:10.1080/07474938.2015.1060039.
Bartolucci F, Nigro V, Pigini C. Testing for State Dependence in Binary Panel Data with Individual Covariates by a Modified Quadratic Exponential Model. Econometric Reviews. 2015:1-37. doi:10.1080/07474938.2015.1060039.
Graf GH, Crowe CL, Kothari M, et al. Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods. American Journal of Epidemiology. 2022;191(4):613-625. doi:10.1093/aje/kwab281.
Graf GH, Crowe CL, Kothari M, et al. Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods. American Journal of Epidemiology. 2022;191(4):613-625. doi:https://doi.org/10.1093/aje/kwab281.
Erekson EA, Cong X, Townsend MK, Ciarleglio MM. Ten-Year Prevalence and Incidence of Urinary Incontinence in Older Women: A Longitudinal Analysis of the Health and Retirement Study. J Am Geriatr Soc. 2016;64(6):1274-80. doi:10.1111/jgs.14088.
http://www.ncbi.nlm.nih.gov/pubmed/27321606?dopt=Abstract
Tembhe A, Preisser JS, Batorsky A, Weintraub JA. Ten-year cross-sectional and longitudinal assessment and factors associated with unfavourable self-rated oral health in older adults in the United States. Gerodontology. 2023. doi:10.1111/ger.12710.
Michaud P-C, Kapteyn A, Smith JP, vanSoest AHO. Temporary and Permanent Unit Non-Response in Follow-up Interviews of the Health and Retirement Study. Longitudinal and Life Course Studies. 2011;2(2):145-169.
Goda GShah, Jones D, Ramnath S. Temporary and permanent effects of withdrawal penalties on retirement savings accounts. Journal of Public Economics. 2022;215:104734. doi:https://doi.org/10.1016/j.jpubeco.2022.104734.
Eng CW, Mayeda ER, Gilsanz P, Whitmer RA, Kim AS, M. Glymour M. Temporal Trends in Stroke-Related Memory Change: Results From a US National Cohort 1998-2016. Stroke. 2021;52(5):1702-1711. doi:10.1161/STROKEAHA.120.031063.
Hamad R, Walter S, Rehkopf D. Telomere length and health outcomes: A two-sample genetic instrumental variables analysis. Exp Gerontol. 2016;82:88-94. doi:10.1016/j.exger.2016.06.005.
http://www.ncbi.nlm.nih.gov/pubmed/27321645?dopt=Abstract
Brown LL, Needham BL, Ailshire JA. Telomere Length Among Older U.S. Adults: Differences by Race/Ethnicity, Gender, and Age. J Aging Health. 2017;29(8):1350-1366. doi:10.1177/0898264316661390.
http://www.ncbi.nlm.nih.gov/pubmed/27469599?dopt=Abstract
Fong TG, Fearing MA, Jones RN, et al. Telephone interview for cognitive status: Creating a crosswalk with the Mini-Mental State Examination. Alzheimers Dement. 2009;5(6):492-7. doi:10.1016/j.jalz.2009.02.007.
http://www.ncbi.nlm.nih.gov/pubmed/19647495?dopt=Abstract
Choi SL, Carr D, Namkung EHa. Telehealth Use Among Older Adults with Sensory, Cognitive, and Physical Impairments: A Substitute or Supplement to Traditional Care?. J Gerontol B Psychol Sci Soc Sci. 2023. doi:10.1093/geronb/gbad098.
Choi SL, Hites L, Bolland AC, Lee J, Payne-Foster P, Bissell K. Telehealth uptake among middle-aged and older Americans during COVID-19: chronic conditions, social media communication, and race/ethnicity. Aging & Mental Health. Forthcoming. doi:10.1080/13607863.2022.2149696.
Ahituv A, Zeira J. Technical Progress and Early Retirement*. The Economic JournalThe Economic Journal. 2011;121(551):171 - 193. doi:10.1111/j.1468-0297.2010.02392.x.