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Evaluating Public Supports to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies

Chiara Bocci, Annalisa Caloffi (), Marco Mariani () and Alessandro Sterlacchini ()

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Abstract: We conduct an extensive meta-regression analysis of counterfactual programme evaluations from Italy, considering both published and grey literature on enterprise and innovation policies. 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.

Date: 2020-06
New Economics Papers: this item is included in nep-cse, nep-sbm and nep-tid
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