Local modelling of U.S. mortality rates: A multiscale geographically weighted regression approach

This work provides an investigation of the presence of spatial variability in the determinants of mortality rates. Specifically, by using the age‐adjusted mortality rates of the counties of the contiguous United States, this research applies a multiscale geographically weighted regression (MGWR) app...

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Bibliographic Details
Published inPopulation space and place Vol. 27; no. 1
Main Authors Cupido, Kyran, Fotheringham, A. Stewart, Jevtic, Petar
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.01.2021
Subjects
Counties
geographically weighted regression
Global local relationship
Mortality
Mortality rates
multiscale
social capital
spatial nonstationarity
spatial patterns
spatially varying coefficients
United States > US
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Summary:This work provides an investigation of the presence of spatial variability in the determinants of mortality rates. Specifically, by using the age‐adjusted mortality rates of the counties of the contiguous United States, this research applies a multiscale geographically weighted regression (MGWR) approach to examine the spatial variations in the relationships between mortality rates and a diverse group of associated determinants. The results demonstrate that the MGWR approach produces a differentiable account of the global, regional, and local effects acting on mortality rates across the United States. Thus, this work lays the groundwork for the consideration of spatial varying effects on mortality rates, which operate at different spatial scales.
ISSN:1544-8444
1544-8452
DOI:10.1002/psp.2379