of forest coverage, for the next 20, 100 and 200 years. Our results suggest that the uncertainty characterizing forest …

under uncertainty about the value of environmental services and irreversible development. We study land conversion under … adequate participation in a conservation plan. We analytically determine the impact of uncertainty and optimal policy …

Uncertainty plays a key role in the economics of climate change, and the discussions surrounding its implications for … climate policy are far from settled. We give an overview of the literature on uncertainty in integrated assessment models of … complementary approaches that model uncertainty in association with integrated assessment models: the discrete uncertainty modeling …

demonstrates a multistage stochastic programming framework for catastrophe modeling with endogenous uncertainty, applied to a … setting with endogenous uncertainty leads to more stringent climate policy recommendations (increasing the CO2 control rate by …

uncertainty, society must take robust preventive action to guard against worst-case outcomes. It follows that the higher the … degree of uncertainty, the more aggressive this preventive action should be. This normative maxim is explored in the case of … a stylized dynamic model of pollution control under Knightian uncertainty. At time 0 a decision-maker makes a one …

landholders under uncertainty about the value of environmental services and irreversible development. We study land conversion … Government to induce adequate participation in a conservation plan. We study the impact of uncertainty on the optimal conversion … of deforestation. Interestingly, we show that uncertainty, even if it induces conversion postponement in the short …

Optimal R&D investment is defined by deep uncertainty that can only partially be addressed through historical data …