This paper deals with the impact of migration on wages. We introduce a spatial dimension into the job search framework, so that the agent faces neither the same job offer distribution nor the same search costs when looking for a job inside his local labor market. This is in comparison to the...

We analyse location of a group whose members differ in their preference ordering among sites while collective action calls for a common location. The possible locations are Pareto-efficient and individually rational outcomes of a cooperative game with strategic combinations defined by the...

This paper tests the existence of strategic interactions among municipalities using a panel of Belgian local tax rates from 1985 to 2004. A special emphasis is put on the role of the language spoken in the various municipalities. Our results first confirm previous findings for Belgium suggesting...

This paper analyses migratory streams to Belgian municipalities between 1994-2007. The Belgian population register constitutes a rich and unique database of yearly migrant in inflows and stocks broken down by nationality, which allows us to empirically explain the location choice of immigrants...

In this paper, we expose the results of a voting experiment realised in 2007, during the French Presidential election. This experiment aimed at confronting the Single Transferable vote (SVT) procedure to two criteria : simplicity and the selection of a Condorcet-winner. Building on our electoral...

La recherche présentée ici propose une méthode de description et d’évaluation des caractéristiques d’un paysage qui combine la géographie quantitative et l’économétrie des modèles hédoniques. Un modèle géographique produit des indices caractérisant les paysages à partir...

In this paper we study the location of immigrants in France in 1990, using data at the finest geographic level available, the municipalities. Our analysis combines cartography, exploratory spatial data analysis and the estimation of counting models. We find that, if immigrants are highly...