title: African-American mortality at older ages: results of a matching study.
abstract: In this paper we investigate the quality of age reporting on death certificates of elderly African-Americans. We link a sample of death certificates of persons age 65+ in 1985 to records for the same individuals in U.S. censuses of 1900, 1910, and 1920 and to records of the Social Security Administration. The ages at death reported on death certificates are too young on average. Errors are greater for women than for men. Despite systematic under-reporting of age at death, too many deaths are registered at ages 95+. This excess reflects an age distribution of deaths that declines steeply with age, so that the base for upward transfers into an age category is much larger than the base for the transfers downward and out. When corrected ages at death are used to estimate age-specific death rates, African-American mortality rates increase substantially above age 85 and the racial "crossover" in mortality disappears. Uncertainty about white rates at ages 95+, however, prevents a decisive racial comparison at the very oldest ages.
authors.affiliation: Population Studies Center, University of Pennsylvania, Philadelphia 19104-6298, USA. spreston@pop.upenn.edu
authors.forename: S H
authors.initials: SH
authors.lastname: Preston
authors.forename: I T
authors.initials: IT
authors.lastname: Elo
authors.forename: I
authors.initials: I
authors.lastname: Rosenwaike
authors.forename: M
authors.initials: M
authors.lastname: Hill
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data*; D017677:Age Distribution; D000368:Aged / Q000706:statistics & numerical data*; D000369:Aged, 80 and over / Q000706:statistics & numerical data; D015982:Bias; D003644:Death Certificates; D003710:Demography; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D008396:Maryland / Q000453:epidemiology; D009026:Mortality; D009275:Names; D011996:Records / Q000592:standards / Q000706:statistics & numerical data; D012494:Sampling Studies; D017678:Sex Distribution; D014481:United States / Q000453:epidemiology; D019131:United States Social Security Administration / Q000706:statistics & numerical data; D044465:White People / Q000706:statistics & numerical data