This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both heterogeneity and spatial correlation across units. We...

In this paper, I propose an instrumental variable (IV) estimation procedure to estimate global VAR (GVAR) models and show that it leads to consistent and asymptotically normal estimates of the parameters. I also provide computationally simple conditions that guarantee that the GVAR model is...

I consider a panel vector-autoregressive model with cross-sectional dependence of the disturbances characterized by a spatial autoregressive process. I propose a three-step estimation procedure. Its first step is an instrumental variable estimation that ignores the spatial correlation. In the...

The impact of venture capital (VC) investment on innovation and technology commercialization as well as the influence of market capacity on venture capital firm decision-making has been extensively covered by the existing literature. However, the interdependency between investment that drives...

We estimate a model of international technological spillovers that allows for both international and inter-sectoral technology transfer, as well as international and intersectoral synergies in research and development (R&D). Furthermore we allow for a dynamic interaction in explaining total...