HRS Bibliography

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Marshall A, Nazroo J, Feeney K, Lee J, Vanhoutte B, Pendleton N. Comparison of hypertension healthcare outcomes among older people in the USA and England. J Epidemiol Community Health. 2016;70(3):264-70. doi:10.1136/jech-2014-205336.
http://www.ncbi.nlm.nih.gov/pubmed/26598759?dopt=Abstract
Gianattasio KZ, Wu B, M. Glymour M, Power MC. Comparison of methods for algorithmic classification of dementia status in the Health and Retirement Study. Epidemiology. 2019;30(2):291-302. doi:10.1097/EDE.0000000000000945.
http://www.ncbi.nlm.nih.gov/pubmed/30461528?dopt=Abstract
Hong I, Pryor L, Wong R, Ottenbacher KJ, Reistetter TA. Comparisons of the Association of Family and Social Factors With Functional Limitations Across the United States, Mexico, and South Korea: Findings From the HRS Family of Surveys. Journal of Aging and Health. 2019. doi:https://doi.org/10.1177/0898264319878549.
Perazzi JRamoni. The Compensating Differential Principle in the Public and Private Sector: A multivariate statistical analysis approach. Economia. 2007;32(24):95-112.
Pezzin LE, Pollak RA, Schone BSteinberg. Complex Families and Late-Life Outcomes Among Elderly Persons: Disability, Institutionalization, and Longevity. Journal of Marriage and Family. 2013;75(5):1084-1097.
Pezzin LE, Pollak RA, Schone BSteinberg. Complex Families and Late-Life Outcomes Among Elderly Persons: Disability, Institutionalization, and Longevity. Journal of Marriage and Family. 2013;75(5):1084-1097.
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Poterba JM, Venti SF, Wise DA. The Composition and Draw-down of Wealth in Retirement. Cambridge, MA: National Bureau of Economic Research; 2011. doi:10.3386/w17536.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
Maralani V, Portier C. The Consolidation of Education and Health in Families. American Sociological Review. Forthcoming. doi:10.1177/00031224211028592.
Pounder L. Consumption Response to Expected Future Income. Washington, D.C.: Board of Governors of the Federal Reserve System; 2009.
McArdle JJ, Prescott CA. Contemporary Modeling of Gene × Environment Effects in Randomized Multivariate Longitudinal Studies. Perspect Psychol Sci. 2010;5(5):606-21. doi:10.1177/1745691610383510.
http://www.ncbi.nlm.nih.gov/pubmed/22472970?dopt=Abstract
Grollman EAnthony. The continuing significance of discrimination: Multiple forms of discrimination and health. 2013;3587339:372.
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS Genet. 2015;11(4):e1005103. doi:10.1371/journal.pgen.1005103.
http://www.ncbi.nlm.nih.gov/pubmed/25856144?dopt=Abstract
Rodriquez EJ, Gregorich SE, Livaudais-Toman J, Perez-Stable EJ. Coping With Chronic Stress by Unhealthy Behaviors: A Re-Evaluation Among Older Adults by Race/Ethnicity. Journal of Aging and Health. 2017;29(5):805-825. doi:10.1177/0898264316645548.
Hueluer G, Hertzog C, Pearman AM, Gerstorf D. Correlates and Moderators of Change in Subjective Memory and Memory Performance: Findings from the Health and Retirement Study. Gerontology. 2015;61(3):232-240. doi:10.1159/000369010.
Polenick CA, Birditt KS, Blow FC. Couples' Alcohol Use in Middle and Later Life: Stability and Mutual Influence. Journal of Studies on Alcohol and Drugs. 2018;79(1):111-118. doi:http://dx.doi.org/10.15288/jsad.2018.79.111.
http://www.ncbi.nlm.nih.gov/pubmed/29227239?dopt=Abstract
Perry MM. On the Covariance Structure of Changes in Consumption in the Health and Retirement Study. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2006.
Shah M, Paulson D. C-reactive protein level partially mediates the relationship between moderate alcohol use and frailty: the Health and Retirement Study. Age Ageing. 2016;45(6):874-878. doi:10.1093/ageing/afw103.
http://www.ncbi.nlm.nih.gov/pubmed/27496931?dopt=Abstract
Lee J, Phillips DF, Wilkens J, et al. Cross-Country Comparisons of Disability and Morbidity: Evidence from the Gateway to Global Aging Data. The Journals of Gerontology: Series A. 2018;73(11):1519-1524. doi:10.1093/gerona/glx224.
Gerst K, Wong R, Michaels-Obregon A, Palloni A. Cross-National Differences in Disability Among Elders: Transitions in Disability in Mexico and the United States. J Gerontol B Psychol Sci Soc Sci. 2015;70(5):759-68. doi:10.1093/geronb/gbu185.
http://www.ncbi.nlm.nih.gov/pubmed/25633135?dopt=Abstract
Dupre ME, George LK, Liu G, Peterson ED. The cumulative effect of unemployment on risks for acute myocardial infarction. Arch Intern Med. 2012;172(22):1731-7. doi:10.1001/2013.jamainternmed.447.
http://www.ncbi.nlm.nih.gov/pubmed/23401888?dopt=Abstract
Duchowny KA, Peterson MD, Clarke PJ. Cut points for clinical muscle weakness among older Americans. American Journal of Preventative Medicine. 2017;53(1):63-69. doi:10.1016/j.amepre.2016.12.022.

D

Philipson T. Data Markets and the Production of Surveys. Review of Economic Studies. 1997;64(1):47-72. doi:10.2307/2971740.