Mortality and Lifetime Income [electronic resource] : Evidence from U.S. Social Security Records / John S Greenlees.
Material type: TextSeries: IMF Working Papers; Working Paper ; No. 07/15Publication details: Washington, D.C. : International Monetary Fund, 2007Description: 1 online resource (20 p.)ISBN: 1451865791 :ISSN: 1018-5941Subject(s): Birth | Econometric and Statistical Methods: Special Topics: General | Input-Output Models | Life Expectancy | Lifetime Earnings | Mortality Rates | United StatesAdditional physical formats: Print Version:: Mortality and Lifetime Income : Evidence from U.S. Social Security RecordsOnline resources: IMF e-Library | IMF Book Store Abstract: Studies of the empirical relationship between income and mortality often rely on data aggregated by geographic areas and broad population groups and do not distinguish disabled and nondisabled persons. We investigate the relationship between individual mortality and lifetime income with a large micro data base of current and former retired participants in the U.S. Social Security system. Logit models by gender and race confirm a negative relationship. Differences in age of death between low and high lifetime income are on the order of two to three years. Income-related mortality differences between blacks and whites are largest at low-income levels while gender differences appear to be large and persistent across income levels.Studies of the empirical relationship between income and mortality often rely on data aggregated by geographic areas and broad population groups and do not distinguish disabled and nondisabled persons. We investigate the relationship between individual mortality and lifetime income with a large micro data base of current and former retired participants in the U.S. Social Security system. Logit models by gender and race confirm a negative relationship. Differences in age of death between low and high lifetime income are on the order of two to three years. Income-related mortality differences between blacks and whites are largest at low-income levels while gender differences appear to be large and persistent across income levels.
Description based on print version record.
There are no comments on this title.