Articolo pubblicato su Italian Economic Journal di Chiara Bocci, Annalisa Caloffi, Marco Mariani, Alessandro Sterlacchini
Research paper – Europe and Italy | Published:
Italian Economic Journal – https://doi.org/10.1007/s40797-021-00170-3
A cura di Chiara Bocci · Annalisa Caloffi · Marco Mariani · Alessandro Sterlacchini
We conduct an extensive sign-and-significance meta-regression analysis of counterfactual programme evaluations from Italy, considering both published and grey literature on policies supporting firms’ investments.We specify a multilevel model for the probability of finding positive effect estimates, also assessing correlation possibly induced by co-authorship networks. We find that the probability of positive effects is considerable, especially for weaker firms and outcomes that are directly targeted by public programmes. However, these policies are less likely to trigger change in the long run.
Keywords: Meta-regression analysis · Public incentives to private investments · Innovation policies · Programme evaluation
JEL Classification: H53 · L52 · L53
© Società Italiana di Economia (Italian Economic Association) 2021
