In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …

This article provides a survey of the specification and estimation of spatial panel data
models. These models include spatial error autocorrelation, or the specification is extended …

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 …

This research note investigates the relationship between output and unemployment in
Greece at a regional level through the implementation of Okuns's law. Current practice is …

A spatial vector autoregression (SpVAR) is a panel VAR in which the data happen to be
spatial. SpVARs include the temporal lags of spatial lagged dependent variables in their …

This article appraises recent advances in the spatial econometric literature. It serves as the
introduction to a collection of new papers on spatial econometric data analysis brought …

This paper sets up a nested random effects spatial autoregressive panel data model to
explain annual house price variation for 2000–2007 across 353 local authority districts in …

This study investigates using a Monte Carlo analysis the performance of the two most
important information criteria, such as the Akaike's Information Criterion and the Bayesian …

This paper conducts a brief survey of spatial unit roots within the context of spatial
econometrics. We summarize important concepts and assumptions in this area and study …

The present study investigates the spatially dynamic income process among 228 regions of
the extended European Union 25 on the basis of the augmented Solow model. In particular …