Marco Maria SORGE | Projects

Recent theoretical work has found asymmetric (imperfect) information to serve as an independent source of equilibrium indeterminacy â¿¿ and thereby self-fulfilling fluctuations â¿¿ in otherwise standard (linear) rational expectations models. Established in environments with fully informed private agents and an imperfectly informed policymaker, our goal is to extend this set of results to general hiera

The main goal of the project is to derive analytically (or by Monte Carlo simulations) clear-cut results about stochastic comparisons of stationary solutions to the linear recurrence X_{t+1} = A_t * X_t + B_t, where A_t and B_t are non-negative random variables. A main challenge is to link recently derived order-preserving properties concerning well-known measures of conditional size, tail variabi

The goal of the project is to develop and empirically validate novel agent-based models (ABMs) featuring market and nonmarket (e.g. social) interactions and learning dynamics, with a focus on the scope for information provision strategies in climate policy design.The main goals of the project are:- Enriching our knowledge of the feedback loop between human activity and climate change, and of th