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...

This work presents a Social Accounting Matrix (SAM) for Italy including, for the first time, an economic account of the non-profit sector (or “third sector”). The year it refers to is 1999. In the first part of this article I address statistical definition of the non-profit sector and how I...

By means of a simulated funding-agency/supported-firm stochastic dynamic game, this paper shows that the level of the subsidy provided by a funding (public) agency, normally used to correct for firm R&D shortage, might be severely underprovided. This is due to the "externalities" generated by...

This paper presents a comprehensive logical framework for designing ex-post evaluation of corporate R&D and innovation (RDI) policies, which logically connects: actors' behaviour, indicators, ex-post (counterfactual) evaluation and ex-ante prediction of firm (R&D) additionality potential. The...

This paper explores the impact of a specific R&D policy instrument, the Italian <roman>Fondo per le Agevolazioni della Ricerca</roman> (FAR), on industrial R&D and technological output at the firm level. Our objective is threefold: first, to identify the presence or absence of private R&D investment...

This paper presents a new user-written STATA command called ivtreatreg for the estimation of five different (binary) treatment models with and without idiosyncratic (or heterogeneous) average treatment effect. Depending on the model specified by the user, ivtreatreg provides consistent...

This paper presents a parametric counter-factual model identifying average treatment effects (ATEs) by conditional mean independence when externality (or neighborhood) effects are incorporated within the traditional Rubin-potential outcome model. As such, it tries to generalize the usual...

Reweighting is a popular statistical technique to deal with inference in the presence of a nonrandom sample, and various reweighting estimators have been proposed in the literature. This article presents the user-written command treatrew, which implements reweighting on the propensity-score...

In this article, I present ivtreatreg, a command for fitting four different binary treatment models with and without heterogeneous average treatment effects under selection-on-unobservables (that is, treatment endogeneity). Depending on the model specified by the user, ivtreatreg provides...

The relationship between decentralization and the quality of governments is one of the core issues of decentralization studies. This paper aims to make two contributions to this research. Firstly, we conduct an empirical analysis at the local level, covering 174 regions across the European...