Name File Type Size Last Modified
  _data 10/21/2021 10:29:AM
JEP_readme.pdf application/pdf 14.3 KB 10/12/2019 02:17:PM
LICENSE.txt text/plain 14.6 KB 10/12/2019 02:17:PM
_appendix.do text/plain 25.4 KB 10/12/2019 02:17:PM
_datacleaning.do text/plain 68.4 KB 10/12/2019 02:17:PM
_figures.do text/plain 12.9 KB 10/12/2019 02:17:PM

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:  View help for Summary 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:  View help for Subject Terms Spatial aggregation
JEL Classification:  View help for JEL Classification
      D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
      I12 Health Behavior
      I14 Health and Inequality
      J10 Demographic Economics: General
Geographic Coverage:  View help for Geographic Coverage U.S. counties
Time Period(s):  View help for Time Period(s) 1990 – 2010
Universe:  View help for Universe US resident population
Data Type(s):  View help for Data Type(s) administrative records data

Methodology

Data Source:  View help for Data Source Vital Statistics, Census, ACS
Unit(s) of Observation:  View help for Unit(s) of Observation Individuals,

Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.