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Minimax regret discounting
Institution:1. Department of Microbiology, School of Medicine, Miyazaki University, Miyazaki, Japan;2. Department of Electron Microscopy and Histopathology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Legon, Accra, Ghana;3. Department of Molecular Epidemiology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan;4. Sukraraj Tropical and Infectious Disease Hospital, Kathmandu, Nepal;5. Biomedical Research Support Center (BRSC), School of Medicine, Nagasaki University, Nagasaki, Japan
Abstract:The paper considers an environmental policy decision in which the appropriate approach for discounting future costs and benefits is unknown. Uncertainty about the discount rate is formulated as a decision under Knightian uncertainty. To solve this, we employ minimax regret, a decision criterion that is much less conservative then the related criterion maximin—in particular, it can be shown to implement a “proportional response” in that it equally balances concern about the mistake of doing too little with that of doing too much. Despite the criterion's balanced nature, the minimax regret solution mimics a policy that maximizes the present discounted value of future net benefits with an effective (certainty-equivalent) discount rate that declines over time to the lowest possible rate. In addition to reinforcing Weitzman's (1998) original limiting result, the approach generates concrete policy advice when decision makers are unable to specify a prior over possible discount rates. We apply it to the Stern–Nordhaus discounting debate and find that the effective discount rate converges to the Stern rate in just under 200 years.
Keywords:Social discount rate  Hyperbolic discounting  Declining discount rates  Ambiguity  Knightian uncertainty  Minimax regret
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