HRS Bibliography

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F

Svynarenko R, Zhang Q, Kim H. The Financial Burden of Cancer: Financial Ratio Analysis. Journal of Family and Economic Issues. 2018. doi:10.1007/s10834-018-9587-2.
Liu Y, Zhang Y, Chatterjee S. Financial hardship and depression experienced by pre-retirees during the COVID-19 pandemic: the mitigating role of stimulus payments. Applied Economics Letters. 2021. doi:https://doi.org/10.1080/13504851.2021.1989364.
Abowd JM, Abramowitz J, Levenstein MC, et al. Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning. United State Census Bureau; 2021.
Goldman DP, Michaud P-C, Lakdawalla D, Zheng Y, Gailey A, Vaynman I. The fiscal consequences of trends in population health.(Forum: America's Looming Fiscal Crisis). National Tax Journal. 2010;63(2):307-330. doi:10.2307/41791016.
Bishop NJ, Ullevig S, Zuniga KE, Wang K. Food Insecurity and Dietary Quality in Older Adults: Do Nutrition Assistance Programs Play a Protective Role?. Current Developments in Nutrition. 2020;4(2):1379. doi:10.1093/cdn/nzaa061_007.
Bergmans RS, Mezuk B, Zivin K. Food insecurity and geriatric hospitalization. International Journal of Environmental Research and Public Health. 2019;16(13):E2294. doi:10.3390/ijerph16132294.
http://www.ncbi.nlm.nih.gov/pubmed/31261648?dopt=Abstract
Goldman DP, Lakdawalla D, Zheng Y. Food Prices and the Dynamics of Body Weight. National Bureau of Economic Research, NBER Working Paper 15096; 2009.
Zhao H, Andreyeva T, Sun X. Food Security and Health Outcomes following Gray Divorce. Nutrients. 2024;16(5). doi:10.3390/nu16050633.
Martin LG, Zimmer Z, Lee J. Foundations of Activity of Daily Living Trajectories of Older Americans. J Gerontol B Psychol Sci Soc Sci. 2017;72(1):129-139. doi:10.1093/geronb/gbv074.
http://www.ncbi.nlm.nih.gov/pubmed/26333820?dopt=Abstract
Zhang N. From Housing Assistance to Student Debt: The Effects of Government Aid on Household Behavior and Welfare. 2021;Ph.D.

G

Zissimopoulos JM. Gain and Loss: Marriage and Wealth Changes Over Time. Santa Monica, CA: RAND Corporation ; 2010.
Choi S-WEmily, Zhang Z, Liu H. Gender Differences in the Protective Role of Grandparenting in Dementia Risk. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. Forthcoming. doi:10.1093/geronb/gbae034.
Gu R, Peng C, Zhang W. The Gender Gap in Household Bargaining Power: A Portfolio-Choice Approach. 2021. doi:http://dx.doi.org/10.2139/ssrn.3814200.
Gu R, Peng C, Zhang W. The Gender Gap in Household Bargaining Power: A Revealed-Preference Approach. Paris, France; 2022.
Zhang Z, Hayward MD. Gender, the Marital Life Course, and Cardiovascular Disease in Late Midlife. Journal of Marriage and Family. 2006;68(3):639.
Hu M, Yu H, Zhang Y, Xiang B, Wang Q. Gender-specific association of the accumulation of chronic conditions and disability in activities of daily living with depressive symptoms. Archives of Gerontology and Geriatrics. Forthcoming;118:105287. doi:10.1016/j.archger.2023.105287.
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract