This paper adopts a spatial econometric perspective to analyse regional convergence of per capita income in Europe in 1995 to 2000 and, moreover, relaxes the assumption of a single steady-state growth path which appears to be out of tune with reality of empirical dynamics. The two-club spatial...

This paper examines the relationship between the level of public infrastructure and the level of productivity using panel data for the Spanish provinces over the period 1984-2004, a period which is particularly relevant due to the substantial changes occurring in the Spanish economy at that...

During the last forty years, there has been an outstanding methodological development in regional and urban economics. This fact has fostered the necessity of working with cross-section data. When using this kind of data,spatial effects could arise: spatial heterogeneity and spatial dependence....

La Econometría espacial es una disciplina joven, con apenas 25 años de experiencia, aunque se ha beneficiado de un desarrollo muy intenso. Los fundamentos metodológicos parecen plenamente consolidados y los rendimientos de la investigación son crecientes. Probablemente como consecuencia de...

The interpretation of dummy variables in regressions where the dependent variable is subject to a log transformation has been of continuing interest in economics. However, in the main, these earlier papers do not deal with the inferential aspects of the parameters estimated. In this paper we...

The detection of dangerous road sites is usually performed using empirical methods which focus on observed accident frequencies and/or proportions of accidents with a given feature. The most widely used detection tools have an empirical Bayes (EB) background. The EB approaches rely on the...

The aim of this paper is to analyze the regional disparities of the literacy rates of the gender in Tunisia according to the latest population census of 2004. A spatial econometric model shows that different socio-economic factors appear particularly explain the literacy rates of the Tunisian...

We suggest and compare different methods for estimating spatial autoregressive panel models with randomly missing data in the dependent variable. We start with a random effects model and then generalize the model by introducing the spatial Mundlak approach. A nonlinear least squares method is...

In this paper, we consider the Cox-type tests of non-nested hypotheses for spatial autoregressive (SAR) models with SAR disturbances. We formally derive the asymptotic distributions of the test statistics. In contrast to regression models, we show that the Cox-type and J-type tests for...

In this paper, we first generalize an approximate measure of spatial dependence, the APLE statistic (Li et al., 2007), to a spatial Durbin (SD) model. This generalized APLE takes into account exogenous variables directly and can be used to detect spatial dependence originating from either a...