Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/339051 
Year of Publication: 
2025
Series/Report no.: 
CEBI Working Paper Series No. 14/25
Publisher: 
University of Copenhagen, Department of Economics, Center for Economic Behavior and Inequality (CEBI), Copenhagen
Abstract: 
Socioeconomic inequality in longevity is typically measured using a single socioeconomic indicator such as education or income. We combine multiple indicators-education, income, occupation, wealth, and IQ scores-and apply machine learning to measure inequality in longevity. Using Danish population-wide data spanning 40 years, we track mortality for the 1942-44 birth cohorts from age 40 onwards to estimate life expectancy by socioeconomic status. Individuals at the top of the socioeconomic distribution live nearly 25 years longer than those at the bottom. The socioeconomic gradient in life expectancy becomes 50-150% steeper when using multiple indicators.
Subjects: 
Life Expectancy
Inequality
Machine Learning
JEL: 
I14
Document Type: 
Working Paper

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