Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to...

This paper analyzes the spatial distribution of corruption and its primary economic and political determinants. Economic freedom and development are found to lower incidences of corruption. Of notable significance, this study finds empirical evidence of a non-linear relationship between a...

In this paper, we examine the spatial configuration of Tunis metropolis. First, we use an Exploratory Spatial Data Analysis (ESDA) in order to visualize the centrality of employment and population densities between 1994 and 2004. Second, we estimate, using spatial econometric models, three...

In this paper we consider the estimation of a panel data regression model with spatial autoregressive disturbances, fixed effects and unknown heteroskedasticity. Following the work by Kelejian and Prucha (1999), Lee and Liu (2006a) and others, we adopt the Generalized Method of Moments (GMM) and...

We test a New Economic Geography (NEG) model for U.S. counties, employing a new strategy that allows us to bring the full NEG model to the data, and to assess selected elements of this model separately. We find no empirical support for the full NEG model. Regional wages in the U.S. do not...

Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until lately the VAR approach had received little attention in regional science and spatial economic analysis. This paper aims...

Prediction is difficult. In this paper we use panel data methods to make reasonably accurate short term ex-post predictions of house prices across 353 local authority areas in England. The issue of prediction over the longer term is also addressed, and a simple method that makes use of the...

This paper uses the Schools and Staffing Survey to examine the determinants of teacher salaries in the U.S. using a spatial econometric framework. These determinants include teacher salaries in nearby districts, union activity in the district, union activity in neighboring districts, and other...

This paper examines the impact of five globalization variables on sulfur dioxide and nitrogen oxides emissions in Europe from 1980-2000 in the framework of one empirical model. The spatial autoregressive regression model is estimated using 2SLS. The five variables of interest are trade, foreign...