In recent years, the use of counterfactual techniques for the evaluation of regional policies has greatly expanded, mainly owing to the availability of ever better data on geographical location, the characteristics of the subjects involved, and temporal and spatial coherence. This process has led to the development of specific econometric techniques to estimate regional policy impacts. Place-based policies necessarily require a particular specification or even a specific adaptation of counterfactual techniques. The greatest difficulty is in the inherent endogeneity of place-based policies: the lower the development of a region, the greater the public intervention. In addition, the presence of interferences between treated subjects, between untreated subjects and between both, leads to the need to adapt the Rubin causal model to the case of potential interference between units. Furthermore, the presence of spillovers owing to interference creates the need to define various measures of policy impact, considering direct, indirect and total effects.