… specifications can be used, all assuming different types of spatial dependence… spatial
regression models and offers a comparison of their performance by using Monte Carlo experiments…

… of spatial regression models is referred to as spatial variable expansion (SVE) in this paper.
Two alternatives of the spatial … for regression residuals (ZR) and F tests on omitted, spatially …

… Monte Carlo methodology that can be used to explore alternative approaches to estimating
spatial regression models… be the focus of Monte Carlo experiments. Since effects estimates …

… of Tests for Spatial Dependence in Linear Regression Models Based on a large number of
Monte Carlo simulation experiments … tests for spatial dependence, that is, for both spatial error …

… of spatial dependence in a regression model. Next, specification tests are considered to detect
the presence of spatial … in a large number of Monte Carlo simulation experiments (see, eg, …

… spatial unit roots and spatial cointegration, and via Monte-Carlo simulation I illustrate their
implications for spatial … positive residual spatial autocorrelation in the typical regression model. …

… spatial models and test statistics for spatial dependence that have been studied in Monte Carlo
experiments… tests used in the meta-analysis of Monte Carlo simulation studies. Most other …

… of these new models, we resort to the Spatial Two-Stage Least Squares (S2SLS) technique.
We rely on a Monte Carlo experiment for testing the performance of classical models, such …

… A simulation study was undertaken to compare two of the … Monte Carlo samples of size 200
were generated on the … Each of the four models was fit to each Monte Carlo sample and the …

… analysing spatial data and illustrate these using simulation … from a spatial regression
method which correctly models the … While Bayesian methods using Markov chain Monte Carlo (…