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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numbere2379
JournalPopulation, Space and Place
Volume27
Issue number1
DOIs
StatePublished - Jan 2021
Externally publishedYes

Keywords

  • geographically weighted regression
  • mortality
  • multiscale
  • social capital
  • spatial nonstationarity
  • spatial patterns
  • spatially varying coefficients

ASJC Scopus subject areas

  • Demography
  • Geography, Planning and Development

Fingerprint Dive into the research topics of 'Local modelling of U.S. mortality rates: A multiscale geographically weighted regression approach'. Together they form a unique fingerprint.

Cite this