experts’ estimates of the costs of future energy technologies. We harmonize data from 19 elicitations, involving 215 experts …, on the 2030 costs of 5 energy technologies: nuclear, biofuels, bioelectricity, solar, and carbon capture. We control for … that, on average, when experts respond to elicitations in person, they ascribe lower confidence (larger uncertainty) to …

Following the first oil crisis, France launched the world’s largest ever nuclear energy program, commissioning 58 new … energy policy crossroads: should the reactors be retrofitted or should they be decommissioned? The cost-optimal decision … depends on several factors going forward, in particular the expected costs of nuclear energy production, electricity demand …

, technological change is highly uncertain and capital intensive, requiring risky efforts in research and development of clean energy … produced by climate-economy models while introducing the dimension of uncertainty in innovation ef- forts, without succumbing … evaluating optimal near-term innovation investment portfolios in four key clean energy technologies (solar, biofuels …

is comparable to numeric models used in policy advising. Uncertainty surrounding climate change remains large. The closed …-form expressions of welfare loss from shocks and epistemological uncertainty identify the interaction of (intertemporal) risk attitude …, distributional moments, and the climatic shadow values. Welfare gains from reducing uncertainty about temperature feedbacks are much …

scientific uncertainty about the effects of increased greenhouse gas concentrations on climate. Criticisms of this controversial …

This paper examines the effects of uncertainty and flexible labour contracts on the Research and Development (R …&D outlays. Moreover, as predicted by the real options theory, our results suggest that product market uncertainty reduces R …&D efforts and that flexible labour contracts countervail the adverse effect of uncertainty on R&D. …