The main purpose of the article is to consider a important issue of spatial econometrics which is a proper …

Spatial autocorrelation is a parameter of importance for network data analysis. To estimate spatial autocorrelation … to rely on sampled network data to infer about spatial autocorrelation. By doing so, network relationships (i.e., edges …) involving unsampled nodes are overlooked. This leads to distorted network structure and underestimated spatial autocorrelation …

This paper proposes a new spatial lag regression model which addresses global spatial autocorrelation arising from …

methodology used in this study will consist of spatial econometrics methods with visual maps and graphs to help with a better …