… The aim of the paper is to model small scale neighbourhood in a house price model by
implementing the newest methodology in spatial econometrics. A common problem when …

… In spatial econometrics the problem of stationarity has not received much attention. Typically…
for when a spatial econometric model is stationary, based on the theory of unilateral spatial …

… the growing body of spatial econometric literature. Readers … available at: spatial-econometrics.com
and spatial-statistics.… Note that we assume the spatial weight matrix is exogenous, …

… existing spatial literature with unknown heteroscedasticity. Note that the problem of inconsistency
(of the OLS estimator) is solely due to the presence of the endogenous spatially lagged …

… spatial econometrics, it is difficult to see why a concept that has substantially altered mainstream
econometric … One should note that that the problem of unit roots was already present in …

This paper investigates factors that determine the average income growth and net migration
rates in Swedish municipalities during the period 1981 to 1999. The main issue is to test the …

… In addition, we note that immigrant settlement patterns tend to be clustered with clustering
likely due to immigration networks. By reducing the costs of information gathering, immigrant …

… for non-standard tests in spatial regression models. I provide both econometric methods and
… (RS) tests for spatial dependence in presence of negative spatial dependence. I found that …

Maximum likelihood (ML) estimation with spatial econometric models is a long-standing
problem that finds application in several areas of economic importance. The problem is …

… Different fundamental methodological spatial econometric issues … This is demonstrated by
taking the baseline spatial econometric … By refining the spatial econometric approach, we find …