TY - JOUR
T1 - Explaining the spatial variation in American life expectancy
AU - Dobis, Elizabeth A.
AU - Stephens, Heather M.
AU - Skidmore, Mark
AU - Goetz, Stephan J.
N1 - Funding Information:
Dobis and Goetz gratefully acknowledge USDA NIFA funding under grants 2017-51150-27125 and 2018-51150-28696 as well as support from the Pennsylvania State University and NIFA Multistate/Regional Research Appropriations under project #NE1749. The funders were not involved in the research, and any opinions expressed are strictly those of the authors and not of the funders.
Funding Information:
Dobis and Goetz gratefully acknowledge USDA NIFA funding under grants 2017-51150-27125 and 2018-51150-28696 as well as support from the Pennsylvania State University and NIFA Multistate/Regional Research Appropriations under project #NE1749 . The funders were not involved in the research, and any opinions expressed are strictly those of the authors and not of the funders. Appendix A
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2
Y1 - 2020/2
N2 - Since 1980, average life expectancy in the United States has increased by roughly five years; however, in recent years it has been declining. At the same time, spatial variation in life expectancy has been growing. To explore reasons for this trend, some researchers have focused on morbidity factors, while others have focused on how mortality trends differ by personal characteristics. However, the effect community characteristics may play in expanding the spatial heterogeneity has not yet been fully explored. Using a spatial Durbin error model, we explore how community and demographic factors influence county-level life expectancy in 2014, controlling for life expectancy in 1980 and migration over time, and analyzing men and women separately. We find that community characteristics are important in determining life expectancy and that there may be a role for policy makers in addressing factors that are associated with lower life expectancy in some regions.
AB - Since 1980, average life expectancy in the United States has increased by roughly five years; however, in recent years it has been declining. At the same time, spatial variation in life expectancy has been growing. To explore reasons for this trend, some researchers have focused on morbidity factors, while others have focused on how mortality trends differ by personal characteristics. However, the effect community characteristics may play in expanding the spatial heterogeneity has not yet been fully explored. Using a spatial Durbin error model, we explore how community and demographic factors influence county-level life expectancy in 2014, controlling for life expectancy in 1980 and migration over time, and analyzing men and women separately. We find that community characteristics are important in determining life expectancy and that there may be a role for policy makers in addressing factors that are associated with lower life expectancy in some regions.
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U2 - 10.1016/j.socscimed.2019.112759
DO - 10.1016/j.socscimed.2019.112759
M3 - Article
C2 - 31923836
AN - SCOPUS:85077383125
SN - 0277-9536
VL - 246
JO - Social Science and Medicine
JF - Social Science and Medicine
M1 - 112759
ER -
