Population Space and Place · 2020 · 35 citations · 41 references
ComputingGeographyPopulation Health SciencesSpatial AnalysisSpatial ModelingSpatial StatisticsGeospatial Health AnalysisGeostatistical AnalysisMortality PatternsMultiscale Spatial AnalysisSpatial EconometricsSpatial Statistical ModelingGeographic Variation In MortalityMortality RatesRegional Mortality DifferentialsRegional Mortality VariationSpatial Autocorrelation Across ScalesSpatial Epidemiology Of MortalitySpatial Mortality VariationSpatial Variability
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.
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An Economic Approach to Social Capital*
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