The increased availability of spatial (or geo-referenced) data made spatial statistics and spatial econometrics a very active and growing area of research. These techniques allow accounting for effects such as spatial spillovers and spatial heterogeneity. Recently, they brought several applications across different fields, such as epidemiology, economics, and other social sciences. Building on the successful first edition, the course focuses on the methods of spatial statistics and econometrics. Moreover, it provides an overview of the recent attempts to account for spatial effects in policy evaluation analysis, and on recent developments on counterfactual analysis. The lectures will also feature applied empirical examples to analyze real-world cases through statistical software.

In order to apply and for more information please read the Autumn School Call.