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 …

Sensitivity (proportionality) of willingness to pay to (small) risk changes is often used as a criterion to test for …,005 respondents were asked their willingness to pay (WTP) for preventing an increase in risk by 1/42,500 and 3/42,500, respectively …. WTP for the higher risk variation is significantly higher than WTP for the lower risk change. We find evidence that those …

heterogeneous countries with the notable feature of model misspecification on the impacts from SRM. We find that deep uncertainty …

climate change. The risk of uncertain and potentially irreversible catastrophes is an important issue related to the latter … demonstrates a multistage stochastic programming framework for catastrophe modeling with endogenous uncertainty, applied to a … benchmark integrated assessment model. This study moves beyond recent catastrophe or tipping point studies with arbitrary risk …

authorities and agencies and/or public authorities and civil society for disaster risk reduction. We pay attention to Public … resource management (CBNRM) and disaster risk reduction (CBDRR), as well as other cooperative initiatives. In many respects …. The analysis is complemented by examples of PuPs addressed in the ENHANCE case studies in which disaster risk reduction …

Uncertainty is prevalent in the context of climate change impacts. Moreover, the distribution across the globe is not … Models (IAMs), which assumes no risk sharing across region, we introduce global risk sharing via a market for state … across regions. We estimate that such risk sharing scheme of climate risks could lead to welfare gains reducing the global …

of climate policy. This study presents the results of the first comprehensive study of uncertainty in climate change …, temperature, damages, and the social cost of carbon (SCC). One key finding is that parametric uncertainty is more important than … uncertainty in model structure. Our resulting pdfs also provide insights on tail events …

that stochastic technology growth hardly affects the optimal bundle of mitigation and adaptation whereas uncertainty about … composition of the optimal mix as both persuade the risk-averse social planner to invest more in mitigation. Overall, we identify … that including uncertainty into the model tends to favour (long-lasting) mitigation with respect to (instantaneous …

evaluates the role of Solar Radiation Management (SRM) on the optimal abatement path, focusing on the uncertainty about the … theory under uncertainty, we show that abatement is decreasing in the probability of success of SRM, but that this relation …

optimal combination of the two introducing the role of catastrophic and spatial uncertainty related to climate change damages … both cases uncertainty works in the direction to make mitigation a more attractive strategy than adaptation. When … catastrophic uncertainty is concerned mitigation becomes relatively more important as, by curbing emissions, it helps to reduce …