As countries begin to reassess and expand their energy research and development programs, it is appropriate to understand the likely costs of alternate approaches. Unfortunately, communities of experts have a well-known optimistic bias in their judgments. We review findings from several disciplines that underscore this tendency toward overconfidence as well as some proposed alternatives to incorporate it in public decision-making. We further argue, based on a disaggregated analysis of US nuclear power costs, that incorporating a second-order uncertainty in the shape of the distribution of cost components is essential for capturing important elements of uncertainty in moving forward with expanded energy R&D programs.
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Hultman et al. (2007) studied this question.
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