@article{2e981be9db9749578f9429762af871c2,
title = "Black/white differences in mortality among veteran and non-veteran males",
abstract = "U.S. military veterans are a large and racially heterogeneous population. There are reasons to expect that racial disparities in mortality among veterans are smaller than those for non-veterans. For example, blacks are favorably selected into the military, receive relatively equitable treatment within the military, and after service accrue higher socioeconomic status and receive health and other benefits after service. Using the 1997–2009 National Health Interview Survey (N = 99,063) with Linked Mortality Files through the end of 2011 (13,691 deaths), we fit Cox proportional hazard models to estimate whether racial disparities in the risk of death are smaller for veterans than for non-veterans. We find that black/white disparities in mortality are smaller for veterans than for non-veterans, and that this is explained by the elevated socioeconomic resources of black veterans relative to black non-veterans. Leveraging birth cohort differences in military periods, we document that the smaller disparities are concentrated among All-Volunteer era veterans.",
keywords = "Cohort, Cox proportional hazard models, Mortality, Race, Veterans",
author = "Sheehan, {Connor M.} and Hayward, {Mark D.}",
note = "Funding Information: We thank the University of Texas Population Research Center (Grant R24 HD42849) for administrative and computing support; the NICHD Ruth L. Kirschstein National Research Service Award (T32 HD007081-35) for training support; the National Institute of Aging training grant (T32 AG000037), the University of Minnesota for preparing and making the data available to the public, and the members of the Population Health lab and Anonymous Reviewers for their helpful suggestions. The contents of this manuscript are solely the responsibility of the authors and do not represent the official views of the NIA, NICHD, the University of Texas at Austin, the University of Southern California or Arizona State University. Funding Information: We thank the University of Texas Population Research Center (Grant R24 HD42849 ) for administrative and computing support; the NICHD Ruth L. Kirschstein National Research Service Award ( T32 HD007081-35 ) for training support; the National Institute of Aging training grant ( T32 AG000037 ), the University of Minnesota for preparing and making the data available to the public, and the members of the Population Health lab and Anonymous Reviewers for their helpful suggestions. The contents of this manuscript are solely the responsibility of the authors and do not represent the official views of the NIA, NICHD, the University of Texas at Austin, the University of Southern California or Arizona State University. Publisher Copyright: {\textcopyright} 2019",
year = "2019",
month = mar,
doi = "10.1016/j.ssresearch.2019.02.006",
language = "English (US)",
volume = "79",
pages = "101--114",
journal = "Social Science Research",
issn = "0049-089X",
publisher = "Academic Press Inc.",
}