While most studies on COVID-19 in India have centred on infection rates, this study shifts the lens towards mortality by examining the spatial disparities and determinants of the COVID-19 case fatality ratio (CFR), a critical yet underexplored indicator of disease severity with economic...

This paper presents a method to improve existing spatial dependence-robust inference procedures for spatial data. Our method involves augmenting a regression specification with functions of locations that reduce spatial correlation in regression scores and serves as a pre-whitener, followed by...

The article focuses on properties generalised to the multidimensional case of known coefficients of spatial correlation. The main result of the work is the decomposition of the introduced generalised autocorrelation coefficients into the sum of ordinary autocorrelation coefficients, but...