Comparability of Mortality Estimates from Social Surveys and Vital Statistics Data in the United States

Dustin C. Brown (), Joseph T. Lariscy () and Lucie Kalousová ()
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Dustin C. Brown: Mississippi State University
Joseph T. Lariscy: University of Memphis
Lucie Kalousová: University of Oxford

Population Research and Policy Review, 2019, vol. 38, issue 3, No 4, 401 pages

Abstract: Abstract Social surveys prospectively linked with death records provide invaluable opportunities for the study of the relationship between social and economic circumstances and mortality. Although survey-linked mortality files play a prominent role in U.S. health disparities research, it is unclear how well mortality estimates from these datasets align with one another and whether they are comparable with U.S. vital statistics data. We conduct the first study that systematically compares mortality estimates from several widely used survey-linked mortality files and U.S. vital statistics data. Our results show that mortality rates and life expectancies from the National Health Interview Survey Linked Mortality Files, Health and Retirement Study, Americans’ Changing Lives study, and U.S. vital statistics data are similar. Mortality rates are slightly lower and life expectancies are slightly higher in these linked datasets relative to vital statistics data. Compared with vital statistics and other survey-linked datasets, General Social Survey-National Death Index life expectancy estimates are much lower at younger adult ages and much higher at older adult ages. Cox proportional hazard models regressing all-cause mortality risk on age, gender, race, educational attainment, and marital status conceal the issues with the General Social Survey-National Death Index that are observed in our comparison of absolute measures of mortality risk. We provide recommendations for researchers who use survey-linked mortality files.

Keywords: Mortality; Vital statistics; Record linkage; Survey-linked mortality files; National Death Index (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11113-018-9505-1

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