A nonlinear programming formulation is introduced to solve infinite horizon dynamic programming problems. This extends the linear approach to dynamic programming by using ideas from approximation theory to avoid inefficient discretization. Our numerical results show that this nonlinear...

This study presents a novel methodological framework for assessing the exposure of the Italian financial system to climate policy risks, using a micro-founded approach. By combining survey and administrative data with energy accounts and energy prices, we estimate the energy demand elasticity of...