In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

This paper reviews a number of conceptual issues pertaining to the implementation of an
explicit “spatial” perspective in applied econometrics. It provides an overview of the …

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 study develops a methodology of inference for a widely used Cliff–Ord type spatial
model containing spatial lags in the dependent variable, exogenous variables, and the …

In this paper we consider a panel data model with error components that are both spatially
and time-wise correlated. The model blends specifications typically considered in the spatial …

By far, the most popular test for spatial correlation is the one based on Moran's (1950) I test
statistic. Despite this, the available results in the literature concerning the large sample …

The establishment of a new preferential trade agreement (PTA) or the expansion of an
existing one alters the incentives of non-members to participate in a PTA. This can lead to a …

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 …

The aim of this paper is to study the space-time dynamics of European regional per capita
GDP. A sample of 138 European regions over the 1980− 1995 period provides clear …

We investigate the nature of price competition among firms that produce differentiated
products and compete in markets that are limited in extent. We propose an instrumental …