By starting from the consideration that non-profit organizations cover a significant re-distributive function beside that of governmental agencies, the paper questions why government prefers to finance via transfers private entities likewise lucrative and non-lucrative entities rather than...

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...

Abstract not available.

This paper reviews the principal econometric models used to measure the effects of public support for firm R&D investment. A taxonomy classifying papers according to the estimation method used (system of equations versus reduced-form), type of data (cross-sectional versus longitudinal), and type...

By starting from the consideration that non-profit organizations cover a significant redistributive function beside that of governmental agencies, the paper questions why government prefers to finance via transfers private entities (lucrative and non-lucrative) rather than produce these goods...

This paper presents an original econometric model for estimating a dose-response function through a regression approach when: (i) treatment is continuous, (ii) individuals may react heterogeneously to observable confounders, and (iii) selection-into-treatment may be potentially endogenous. After...

This study explores the impact of “technological capabilities” (TCs) on invention (measured by “patenting intensity”) in a dataset of 42 emerging and advanced countries observed over 13years (1995–2007). By computing country responsiveness scores we are able to: (i) rank countries...

This presentation presents a parametric counterfactual 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...