Replication data for: Mortality Inequality: The Good News from a County-Level Approach
Principal Investigator(s): View help for Principal Investigator(s) Janet Currie; Hannes Schwandt
Version: View help for Version V1
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Project Citation:
Currie, Janet, and Schwandt, Hannes. Replication data for: Mortality Inequality: The Good News from a County-Level Approach. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113970V1
Project Description
Summary:
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In this essay, we ask whether the distributions of life expectancy and mortality have become generally more unequal, as many seem to believe, and we report some good news. Focusing on groups of counties ranked by their poverty rates, we show that gains in life expectancy at birth have actually been relatively equally distributed between rich and poor areas.
Analysts who have concluded that inequality in life expectancy is increasing have generally focused on life expectancy at age 40 to 50. This observation suggests that it is important to examine trends in mortality for younger and older ages separately. Turning to an analysis of age-specific mortality rates, we show that among adults age 50 and over, mortality has declined more quickly in richer areas than in poorer ones, resulting in increased inequality in mortality.
This finding is consistent with previous research on the subject. However, among children, mortality has been falling more quickly in poorer areas with the result that inequality in mortality has fallen substantially over time. We also show that there have been stunning declines in mortality rates for African Americans between 1990 and 2010, especially for black men. Finally we offer some hypotheses about causes for the results we see, including a discussion of differential smoking patterns by age and socioeconomic status.
Scope of Project
Subject Terms:
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Spatial aggregation
JEL Classification:
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D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
I12 Health Behavior
I14 Health and Inequality
J10 Demographic Economics: General
D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
I12 Health Behavior
I14 Health and Inequality
J10 Demographic Economics: General
Geographic Coverage:
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U.S. counties
Time Period(s):
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1990 – 2010
Universe:
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US resident population
Data Type(s):
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administrative records data
Methodology
Data Source:
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Vital Statistics, Census, ACS
Unit(s) of Observation:
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Individuals,
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