The novelty of our model is to combine models of collective action on networks with models of social learning. Agents are connected according to an undirected graph, the social network, and have the choice between two actions: either to adopt a new behavior or technology or stay with the default...

In this paper we employ techniques developed in spatial econometrics to analyse spatial patterns of technology diffusion, to detect clusters and to estimate theoretical models that incorporate space explicitly. These techniques correct for misspecifications resulting from the omission of spatial...

This survey reviews the empirical literature on the impact of environmental policy instruments on the rate and direction of technological change. The survey is explicitly focused on the empirical identification of the hypothesis to expect a stronger impact from market-based incentives than from...

We evaluate the impact of technology adoption subsidies on in- vestment behavior in an individual choice experiment. In a laboratory setting professional managers are confronted with an intertemporal decision problem in which they have to decide whether or not to search for, and possibly adopt,...

State space models with nonstationary processes and fixed regression effects require a state vector with diffuse initial conditions. Different likelihood functions can be adopted for the estimation of parameters in time series models with diffuse initial conditions. In this paper we consider...

This paper studies the diffusion of multiple, related technologies among firms. The results suggest an endogenous acceleration mechanism of technology adoption: The more advanced a firm is in using a particular set of technologies, the more likely it is to adopt additional, related technologies....

Innovation research has become an important topic in regional science analysis. Yet the modelling base of much innovation research is still feeble. This paper aims to map out the research potential of recent approaches in quantitative complexity analysis, in particular Neural Networks (NNs)...