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  • 标题:Ambiguous Aggregation of Expert Opinions: The Case of Optimal R&D Investment
  • 本地全文:下载
  • 作者:Stergios Athanassoglou ; Valentina Bosetti ; Gauthier de Maere d'Aertrycke
  • 期刊名称:FEEM Working Papers / Fondazione Eni Enrico Mattei = Nota di Lavoro
  • 出版年度:2012
  • 卷号:2012
  • 出版社:Milano
  • 摘要:How should a decision-maker allocate R&D funds when a group of experts provides divergent estimates on a technology's potential effectiveness? To address this question, we propose a simple decision-theoretic framework that takes into account ambiguity over the aggregation of expert opinion and a decision-maker's attitude towards it. In line with the paper's focus on R&D investment, decision variables in our model may affect experts' subjective probability distributions of the future potential of a technology. Using results from convex optimization, we are able to establish a number of analytical results including a closed-form expression of our model's value function, as well as a thorough investigation of its differentiability properties. We apply our framework to original data from a recent expert elicitation survey on solar technology. The analysis suggests that more aggressive investment in solar technology R&D is likely to yield significant dividends even, or rather especially, after taking ambiguous aggregation into account.
  • 关键词:Aggregation; Ambiguity; R&D; Expert Opinions; Convex/Conic Optimization
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