The software for spatial econometrics available in the R system for statistical computing is
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …

Abstract The sub-Saharan Africa (SSA) region gathers the most vulnerable countries, which
are criss-crossed geographically, making SSA countries extremely vulnerable to the …

Recent advances in the implementation of spatial econometrics model estimation
techniques have made it desirable to compare results, which should correspond between …

xsmle is a new user-written command for spatial analysis. We consider the quasi–maximum
likelihood estimation of a wide set of both fixed-and random-effects spatial models for …

The study explores the association of socioeconomic, demographic, and health-related
variables at the regional level with COVID-19 related cases and deaths in Germany during …

Agricultural training is a potentially effective method to diffuse relevant new technologies to
increase productivity and alleviate rural poverty in Sub-Saharan Africa (SSA). However …

splm is an R package for the estimation and testing of various spatial panel data
specifications. We consider the implementation of both maximum likelihood and generalized …

When λ= 0 and ρ/= 0 the model becomes: y= Zβ+ u(3.13) u= ρWu+ ε| ρ|< 1(3.14) with the
regressors Z and the weights W non-stochastic. This model is referred to in the literature as …

Abstract Information and communication technology (ICT) agglomeration has a dual role in
influencing economic growth and environmental recovery, and there is a significant spatial …

Can features extracted from high spatial resolution satellite imagery accurately estimate
poverty and economic well-being? The present study investigates this question by extracting …