HRS Bibliography

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Book Chapter

Fernandes M, Meijer E, Zamarro G. Comparison between SHARE, ELSA, and HRS. In: First Results from the Survey of Health, Ageing and Retirement in Europe (2004-2007): Starting the longitudinal dimension. First Results from the Survey of Health, Ageing and Retirement in Europe (2004-2007): Starting the longitudinal dimension. Mannhiem, Germany: Mannheim Research Institute for the Economics of Aging (MEA); 2008:23-63.

Journal Article

Lee J, Meijer E, Phillips DF, Hu P. Disability Incidence Rates for Men and Women in 23 Countries: Evidence on Health Effects of Gender Inequality. The Journals of Gerontology, Series A . 2021;76(2):328-338. doi:10.1093/gerona/glaa288.
Lee J, Lau S, Meijer E, Hu P. Living Longer, With or Without Disability? A Global and Longitudinal Perspective. The Journals of Gerontology: Series A. 2020;75(1):162-167. doi:10.1093/gerona/glz007.
Gross AL, Khobragade PY, Meijer E, Saxton JA. Measurement and Structure of Cognition in the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia. Journal of the American Geriatric Society. 2020;68 Suppl 3:S11-S19. doi:10.1111/jgs.16738.
Angrisani M, Hurd MD, Meijer E, Parker AM, Rohwedder S. Personality and Employment Transitions at Older Ages: Direct and Indirect Effects through Non-Monetary Job Characteristics. Labour. 2017;31(2):127-152. doi:10.1111/labr.12090.
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.
Meijer E, Karoly LA. Representativeness of the low-income population in the Health and Retirement Study. The Journal of the Economics of Ageing. 2017;9:90-99. doi:10.1016/j.jeoa.2016.08.004.
Meijer E, Karoly LA, Michaud P-C. Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low-Income Subsidy Program. Social Security Bulletin. 2010;70(2):63-82.
Angrisani M, Casanova M, Meijer E. Work-Life Balance and Labor Force Attachment at Older Ages. Journal of Labor Research. 2020;41(1-2):34-68. doi:10.1007/s12122-020-09301-8.

Report

Lee J, Meijer E, Phillips DF. The Effect of Using Different Imputation Methods for Economic Variables in Aging Surveys. Los Angeles, University of Southern California; 2015.
Hurd MD, Meijer E, Moldoff M, Rohwedder S. Improved Wealth Measures in the Health and Retirement Study: Asset Reconciliation and Cross-Wave Imputation.; 2016.
Angrisani M, Hurd MD, Meijer E. Investment Decisions in Retirement: The Role of Subjective Expectations. Ann Arbor, The University of Michigan; 2012.
Angrisani M, Hurd MD, Meijer E, Parker AM, Rohwedder S. Labor Force Transitions at Older Ages: The Roles of Work Environment and Personality. Ann Arbor, The University of Michigan; 2013.
Angrisani M, Kapteyn A, Meijer E. Nonmonetary Job Characteristics and Employment Transitions at Older Ages. Ann Arbor, MI, University of Michigan; 2015.
Meijer E, Karoly LA. Representativeness of the Low-Income Population in the Health and Retirement Study. Ann Arbor, The University of Michigan; 2013.
Meijer E, Karoly LA. Representativeness of the Low-Income Population in the Health and Retirement Study with Supplementary Analyses for 1991 and 1997. Ann Arbor, MI, Michigan Retirement Research Center (MRRC) Working Paper, WP 2014-316; 2014.
Meijer E, Karoly LA, Michaud P-C. Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program. Santa Monica, CA: RAND Corporation ; 2010.
Angrisani M, Casanova M, Meijer E. Work-Life Balance and Labor Force Attachment at Older Ages . Ann Arbor, MI: Michigan Retirement Research Center, Institute for Social Research, University of Michigan; 2017:1-29.