Working Paper: NBER ID: w29203
Authors: Hannes Schwandt; Janet Currie; Marlies Br; James Banks; Paola Bertoli; Aline Btikofer; Sarah Cattan; Beatrice Zongying Chao; Claudia Costa; Libertad Gonzalez; Veronica Grembi; Kristiina Huttunen; Ren Karadakic; Lucy Kraftman; Sonya Krutikova; Stefano Lombardi; Peter Redler; Carlos Riumallo-Herl; Ana Rodriguez-Gonzalez; Kjell Salvanes; Paula Santana; Josselin Thuilliez; Eddy Van Doorslaer; Tom Van Ourti; Joachim Winter; Bram Wouterse; Amelie Wuppermann
Abstract: Although there is a large gap between Black and White American life expectancies, the gap fell 48.9% between 1990-2018, mainly due to mortality declines among Black Americans. We examine age-specific mortality trends and racial gaps in life expectancy in rich and poor U.S. areas and with reference to six European countries. \nInequalities in life expectancy are starker in the U.S. than in Europe. In 1990 White Americans and Europeans in rich areas had similar overall life expectancy, while life expectancy for White Americans in poor areas was lower. But since then even rich White Americans have lost ground relative to Europeans. Meanwhile, the gap in life expectancy between Black Americans and Europeans decreased by 8.3%. \nBlack life expectancy increased more than White life expectancy in all U.S. areas, but improvements in poorer areas had the greatest impact on the racial life expectancy gap. The causes that contributed the most to Black mortality reductions included: Cancer, homicide, HIV, and causes originating in the fetal or infant period. \nLife expectancy for both Black and White Americans plateaued or slightly declined after 2012, but this stalling was most evident among Black Americans even prior to the COVID-19 pandemic. If improvements had continued at the 1990-2012 rate, the racial gap in life expectancy would have closed by 2036. European life expectancy also stalled after 2014. Still, the comparison with Europe suggests that mortality rates of both Black and White Americans could fall much further across all ages and in both rich and poor areas.
Keywords: mortality; life expectancy; racial disparities; socioeconomic status; geographical analysis
JEL Codes: E21; I1; J1
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
Cause | Effect |
---|---|
socioeconomic improvements (P36) | reductions in mortality rates (I14) |
reductions in mortality among Black Americans (I14) | decrease in gap in life expectancy between Black and White Americans (I14) |
specific causes of mortality (cancer, homicide, HIV, fetal or infant health) (I12) | reductions in Black mortality (I14) |
mortality improvements (1990-2012) (I14) | closing of racial gap in life expectancy by 2036 (I14) |
geographical context (R12) | differences in mortality rates between wealthier areas and poorer areas (I14) |
mortality rates in wealthier areas (I14) | comparable to European standards (P52) |
mortality rates in poorer areas (I14) | lag behind wealthier areas (R11) |