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Evaluating the robustness of the effect of public subsidies on firms’ R&D: an application to Italy

Giovanni Cerulli and Bianca Poti ()

Journal of Applied Economics, 2012, vol. 15, 287-320

Abstract: This paper applies different econometric methods to evaluate the effect of public subsidies on firms’ R&D activity. For the sake of robustness, results from the Heckman selection model (Heckit), Control-function regression, Difference-in-differences, and various Matching methods are compared by using the third and fourth wave of the Italian Community Innovation Survey (CIS3, years 1998-2000 and CIS4, years 2002-2004). We predict the absence of a full crowding-out of private R&D performance, both for the whole sample and for some subsets of firms. Nevertheless, we conclude that while for variables expressed as ratio (R&D intensity and R&D per employee) the difference in results is negligible, R&D expenditure presents a strong variability among the approaches, even for those relying on similar identification assumptions. Given the utmost importance of this target-variable, future works should go beyond the use of single methods, especially when they are thought of to steer future policymaking.

Keywords: business R&D; public incentives; econometric evaluation; robustness (search for similar items in EconPapers)
JEL-codes: C52 O32 O38 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (32)

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