We estimate the effects of a large program of public investment subsidies granted to Italian firms in disadvantaged areas. Projects were given numerical scores according to objective criteria and local politicians’ preferences, and funded in rank order until the funds were fully allocated. We...

We estimate the employment effects of a large program of public investment subsidies that ranked applications on a score reflecting both objective criteria and local politicians' preferences. Leveraging the rationing of funds as an ideal RDD, we characterize the heterogeneity of treatment...

In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest...