Venue: Seminar room 2, Economics Research Annex(Kojima Hall), The University of Tokyo
Date：Friday, June 10, 10:00-11:30
Speaker: Professor François Lévêque（Cerna, Centre d’Economie Industrielle MINES ParisTech）
Language：English
Open to all, upon registration
Abstract:
How do past observations inform us on the future risks of major nuclear accidents? How did the catastrophe at the Fukushima Dai-ichi nuclear power plant changed the expected frequency for such events? Little has been the consensus in answering these questions. While opponents of nuclear power claim that the probability of serious accident is very high, the industry ensures that it is negligible. Furthermore, when facing such ambiguity, or multiple sources of information, how should policy-makers behave regarding these rare but catastrophic risks? The aim of the presentation is to present two methods developped in CERNA-Mines ParisTech that try to shed light on these questions. We will first present a Bayesian method which tries to determine the effect of the Fukushima Dai-ichi accident on the probability of witnessing future major nuclear accidents. Second, we will present a non-Bayesian method which tries to account for the ambiguity that characterizes the risks of nuclear power accidents.
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