This paper analyses the growth e®ects of EU structural funds using a new panel dataset of 124 NUTS-1 / NUTS-2 regions over the time period 1995-2005. We extend the current literature with regard to at least three aspects: First of all, we extend the time period of investigation, using...

This paper examines patterns of FDI inflows to Southern European (SE) regions, which seem to be at the margin of the FDI attraction game accounting for a very small share of total inward FDI in the EU. In order to understand why these regions attracted such a low number of foreign investors,...

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...

Following a hedonic framework, this paper constructs various transaction-based commercial property price indicators for the Netherlands. Using quarterly data from the Investment Property Databank (IPD), the analysis covers a total of 10,000 listed properties over the period 2001-2011. The study...

We estimate a linear approximation of the market potential function derived in geography and trade models. Using a spatial econometric estimation approach, border effects can be identified by a differential impact of neighboring regions' purchasing power, depending on whether two regions are...

In this paper we consider ML estimation for a broad class of parameter-driven models for discrete dependent variables with spatial correlation. Under this class of models, which includes spatial discrete choice models, spatial Tobit models and spatial count data models, the dependent variable is...

This paper examines patterns of FDI inflows to Southern European (SE) regions, which seem to be at the margin of the FDI attraction game accounting for a very small share of total inward FDI in the EU. In order to understand why these regions attracted such a low number of foreign investors,...

We estimate a linear approximation of the market potential function derived in geography and trade models. Using a spatial econometric estimation approach, border effects can be identified by a differential impact of neighboring regions' purchasing power, depending on whether two regions are...

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices,...