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.

Evaluating Public Support to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies / Chiara Bocci, Annalisa Caloffi, Marco Mariani, Alessandro Sterlacchini. - In: ITALIAN ECONOMIC JOURNAL. - ISSN 2199-322X. - ELETTRONICO. - (2021), pp. 1-34. [10.1007/s40797-021-00170-3]

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

Chiara Bocci;Annalisa Caloffi;
2021

Abstract

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.
2021
1
34
Goal 9: Industry, Innovation, and Infrastructure
Chiara Bocci, Annalisa Caloffi, Marco Mariani, Alessandro Sterlacchini
File in questo prodotto:
File Dimensione Formato  
Bocci_Caloffi_Mariani_Sterlacchini_ItEJonlinefirst2021.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 578.96 kB
Formato Adobe PDF
578.96 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1244846
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 1
social impact