<title>Abstract</title> This paper considers the estimation of a linear regression involving the spatial autoregressive (SAR) error term which is nearly nonstationary. The asymptotics properties of the ordinary least squares (OLS), true generalized least squares (GLS) and feasible generalized least squares...

<title>Abstract</title> A combined travel model incorporating spatial correlation is derived from the optimality conditions of a multi-objective optimization framework, in which the trip generation and distribution steps are expressed as hierarchical logit functions. Different forms of spatial correlation are...

Testing the assumption of independence between variables is a crucial aspect of spatial data analysis. However, the literature is limited and somewhat confusing. To our knowledge, we can mention only the bivariate generalization of Moran's statistic. This test suffers from several restrictions:...

<title>Abstract</title> This paper studies the spatial autoregressive (SAR) model for cross-sectional data when the coefficient of the spatial lag of the dependent variable is near unity. We decompose the data generating process into an unstable component and a stable one, and establish asymptotic properties...

<title>Abstract</title>We qualitatively match new economic geography (NEG) to stylized facts on German economic integration after 1989. We find that NEG may explain German integration reasonably well. Germany may currently be close to the peak of the bell curve, which describes the long-run relationship...

<title>Abstract</title>We propose a pairwise difference estimator for partially linear spatial autoregressive models with heteroscedastic or/and spatially correlated error terms. In comparison with other competing estimators, e.g. the profile QMLE (Su & Jin, 2010) and the semiparametric GMM estimator (Su,...

<title>Abstract</title> Algorithms have been used to assist in the design of statistical geographies which define areal groupings for which official data are collected. Typically the groupings based on different parameter values or different algorithms are not formally compared, but summary statistics based on...

<title>Abstract</title> In this paper we adopt an entropy econometrics-based estimator to study regional variations in regression coefficients and apply it to analyse productivity growths generated by R&D activities at a regional level. Considering the possible effects of the region's own R&D stock as well as...