This paper is an empirical study of the uncertainty associated with estimates from stochastic frontier models. We show how to construct confidence intervals for estimates of technical efficiency levels under different sets of assumptions ranging from the very strong to the relatively weak. We...

We show in this paper that spatial dependence and spatial heterogeneity matter in the estimation of the b-convergence process among 138 European regions over the 1980-1995 period. Using spatial econometrics tools, we detect both spatial dependence and spatial heterogeneity in the form of...

The study of regional income convergence continues to attract enormous attention. Recent emphasis has been placed on the underlying spatial dimensions of regional growth processes both from theoretical and empirical perspectives, as well as from exploratory and confirmatory methodological...

This paper analyzes the evolution of labor productivity disparities among 145 European regions over 1975-2000 according to the concepts of ƒã- and ƒÒ-convergence and emphasizes the importance of including spatial effects and a disaggregated analysis at a sectoral level. We detect a...

This paper estimates the impact of structural funds on the convergence process between 145 European regions over 1989-1999. Since the majority of these funds finance transportation infrastructures, they induce spillover effects, industry relocation and do not necessarily succeed in reducing...

This paper brings together a number of new specification search strategies in spatial econometric modeling. In the literature, experimental results for several forward stepwise strategies aimed at remedying spatial dependence, have been reported. Essentially, these strategies boil down to the...

In a former study (Carvalho 1995) we modeled the housing market in Portugal in a classic cross section framework and did find that housing construction was dependant from income, population and sensitive to location. Nevertheless we couldn<92>t find the extent of this sensitivity in such a...</92>