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...

Following in the footsteps of the Stata user-written command ivtreatreg, recently proposed by the author (Cerulli, 2012), the paper presents a new Stata routine— contreatreg—for estimating a Dose Response Treatment Model under continuous treatment endogeneity and heterogeneous...

Reweighting is a popular statistical technique to deal with inference in presence of a nonrandom sample. In the literature, various reweighting estimators have been proposed. This paper presents the author-written Stata routine treatrew, which implements the reweighting on the propensity-score...

In recent years, much interest has focused on network analysis. This study presents and applies to real data a new user-written Stata command called datanet, which facilitates the dataset organization for the purpose of network analysis. Given a fixed number of units (or nodes) belonging to the...