… fashion the main specifications employed for spatial econometric models and provides a
guide to the literature. The emphasis is on how the spatial structure is embedded in the models, …

… we use spatial econometric specifications to model daily infection rates of COVID-19 across
countries. Using recent advances in Bayesian spatial econometric … Note that the spatial …

… We note that estimates from these two models should be similar, but in the face of spatial
dependence in the disturbances, SDEM model estimates should be more efficient. The partial …

… To highlight the unified framework behind both spatial and GVAR models, we note that
condition D is equivalent to condition C; both rule out cases where each unit has only a finite …

… Note that, as described in Section 2.1, spatial econometrics models can be derived from
this implementation. In particular, the SEM is a particular case of Equation (14) with β = 0 . The …

Salesforce has been a key leader in evolving marketing within this digital era through the use
of specific marketing strategy aimed at creating and tracking marketing campaigns as well …

… By extending a counterfactual analysis directly in a spatial panel econometric model, identified
spatial … Methodological techniques from spatial econometrics allow for greater insight in …

… His research concentrates around modelling of housing valuation, using spatial and aspatial
econometric and machine learning methods. Since 2016, he has been cofounder of a …

… range of specifications of spatial econometric models for all … For example, Quah [3] notes
that cross-sectional data have a … We note several concepts that have their own methodology. …

… This paper investigates the relationship between economic growth and regional income
inequality in a spatial econometric perspective. The role of space in the measure of inequality is …