Socio-economic interrelationships among regions can be measured in terms of economic flows, migration, or physical geographically-based measures, such as distance or length of shared areal unit boundaries. In general, proximity and openness tend to favour a similar economic performance among...

This paper takes a matching approach to local labour markets in Finland. The monthly data comprise 120 Local Labour Office areas over a 12 year period between January 1991 and August 2002. The basic matching function is extended to account for spatial spillovers across borders. The role of...

We apply spatial econometric techniques to models of state and local fiscal policy convergence. Total tax revenue and expenditures, as well as broad tax and expenditure categories, of state and local governments in each of the 48 contiguous U.S. states are examined. We extend recent work by...

In this paper we use spatial dependence panel data models to analyse regional growth behaviour in Italy. Controlling for fixed-effects allows us to disentangle the effect of spatial dependence (or spatial interaction) from that of spatial heterogeneity and of omitted variables and, thus, to...

We use a spatial econometric extension of the traditional regression-based gravity model introduced in LeSage and Pace (2005) to model commodity flows between 35 regions in Austria. Our focus is on a formal methodology for incorporating information regarding the highway network into the spatial...

We introduce a Bayesian hierarchical regression model that extends the traditional least-squares regression model used to estimate gravity or spatial interaction relations involving origin-destination flows. Spatial interaction models attempt to explain variation in flows from n origin regions...

Culture is gaining increasing importance in the modern tourism industry and represents a significant force of attraction for tourists (both domestic and international). Cultural tourism allows destinations and regions to expand their customer base, diversify their offer, extend the stay of the...

One of the central challenges to inference in the context of potentially interdependent observations, known as Galton's Problem, is the difficulty distinguishing spatially correlated observations due to observed units exposure to spatially correlated shocks from spatial correlation in outcomes...