@article {7813,
	title = {Healthier, Wealthier, and Wiser: A Demonstration of Compositional Changes in Aging Cohorts Due to Selective Mortality},
	journal = {Population Research and Policy Review},
	volume = {32},
	year = {2013},
	note = {Copyright - Springer Science Business Media Dordrecht 2013 Document feature - References; Tables Last updated - 2013-06-21 Adams P, Hurd MD, McFadden DL, Merrill A, Ribeiro T. Perspectives on the economics of aging. Adams, P; Hurd, M D; McFadden, D; Merrill, A; et al. Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status. British Library Inside Conferences (2004): 415-526 BENGSTON, V.L.; SCHAIE, K.W. Handbook of theories of aging. Handbook of theories of aging. (1999): Springer Publishing Compagny Coale, A J; Kisker, E E. Mortality crossovers: reality or bad data? Population Studies, 40. 3 (1986): 389-401 Diprete, Thomas A; Eirich, Gregory M. Cumulative advantage as a mechanism for inequality : A review of theoretical and empirical developments. Annual review of sociology, 32. (2006): 271-297. Annual reviews Dupre, Matthew E; Franzese, Alexis T; Parrado, Emilio A; Dupre, Matthew E. 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	pages = {311-324},
	publisher = {32},
	abstract = {The gradual changes in cohort composition that occur as a result of selective mortality processes are of interest to all aging research. We present the first illustration of changes in the distribution of specific cohort characteristics that arise purely as a result of selective mortality. We use data on health, wealth, education, and other covariates from two cohorts (the AHEAD cohort, born 1900-1923 and the HRS cohort, born 1931-1941) included in the Health and Retirement Survey, a nationally representative panel study of older Americans spanning nearly two decades (N = 14,466). We calculate sample statistics for the surviving cohort at each wave. Repeatedly using only baseline information for these calculations so that there are no changes at the individual level (what changes is the set of surviving respondents at each specific wave), we obtain a demonstration of the impact of mortality selection on the cohort characteristics. We find substantial changes in the distribution of all examined characteristics across the nine survey waves. For instance, the median wealth increases from about  90,000 to  130,000 and the number of chronic conditions declines from 1.5 to 1 in the AHEAD cohort. We discuss factors that influence the rate of change in various characteristics. The mortality selection process changes the composition of older cohorts considerably, such that researchers focusing on the oldest old need to be aware of the highly select groups they are observing, and interpret their conclusions accordingly. PUBLICATION ABSTRACT},
	keywords = {Health Conditions and Status, Methodology, Net Worth and Assets},
	doi = {http://dx.doi.org/10.1007/s11113-013-9273-x},
	url = {http://search.proquest.com.proxy.lib.umich.edu/docview/1356972849?accountid=14667http://mgetit.lib.umich.edu/?ctx_ver=Z39.88-2004andctx_enc=info:ofi/enc:UTF-8andrfr_id=info:sid/ProQ 3Aabiglobalandrft_val_fmt=info:ofi/fmt:kev:mtx:journalandrft.genre=articl},
	author = {Zajacova, Anna and Sarah A. Burgard}
}
