Mariangela Guidolin

TL;DR: A non-systematic review of the theory and the practice of forecasting, offering a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts.

TL;DR: In this article, the authors proposed an innovation diffusion framework based on well-known Bass models to analyze and forecast national adoption patterns of photovoltaic installed capacity, which allows for interesting comparisons among several countries and in many cases highlights the positive effect of incentive policies in stimulating the diffusion of such a technology.

TL;DR: It is argued that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent non-constant market potential affecting the adoption phase, resulting in a nested process depicting the proper purchase dynamics.

TL;DR: In this article, the authors examined joint effects of economic and strategic or technological interventions using a Generalized Bass Model (GBM), taking into account three different hierarchical levels: natural diffusion, long memory interventions and stochastic components.

TL;DR: In this paper, an analysis on the innovation diffusion framework is proposed through the application of two diffusion models for a duopolistic competition, unrestricted and standard UCRCD, to the annual time series of consumption of nuclear and renewables (wind and solar energy) in Germany, in order to test empirically the presence of such substitution effect.