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

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  • Chiara Bocci
  • Annalisa Caloffi
  • Marco Mariani
  • Alessandro Sterlacchini

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.

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  • Chiara Bocci & Annalisa Caloffi & Marco Mariani & Alessandro Sterlacchini, 2020. "Evaluating Public Supports to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies," Papers 2006.01880, arXiv.org.
    • Handle: RePEc:arx:papers:2006.01880
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    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L53 - Industrial Organization - - Regulation and Industrial Policy - - - Enterprise Policy

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