Monday, Jan 11, 2021
by
Carlos Mendez, Anang Budi Gunawan, and Felipe Santos-Marquez
GeoJournal
Using a novel dataset constructed for this study, the spatio temporal dynamics of income per capita across 34 provinces and 514 districts in Indonesia over the 2010-2017 period are analyzed. First, an exploratory spatial analysis suggests that spatial autocorrelation is only significant at the district level, and it appears to be robust from 2013 to 2017. Consequently, at this level, a spatial filtering model is used for decomposing income into a spatially independent component and a spatial residual.
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