Dynamic Games with Nature: Designing Policy under Ambiguity
Anastasios Xepapadeas
Strategic Behavior and the Environment, 2015, vol. 5, issue 3-4, 175-213
Abstract:
Environmental and resource economics is permeated by economic and environmental uncertainties. The expected utility framework founded by von Neumann and Morgenstern and later extended to subjective probability by Savage is the traditional framework for dealing with risk in economics. Frank Knight suggested the need to distinguish between risk and uncertainty for situations where there is ignorance or not enough information to assign probabilities — objective or subjective — to events. Knightian uncertainty, or ambiguity, is an appropriate framework for studying environmental management issues, given the complexities and the multiple sources of underlying uncertainties. Decision-making under ambiguity has been based on the maxmin expected utility. Robust control, by using maxmin rules and by introducing a fictitious adversarial agent referred to as Nature, provides policies under ambiguity. In robust rules the lower bounds to the rule's performance are determined by Nature, and management can be regarded as a game between the regulator and Nature. The regulator maximizes her/his objective, while Nature "tries" to minimize the regulator's objective. The outcome of this game determines regulation under ambiguity. This paper presents methods for studying environmental and resource management issues and designing robust policies under ambiguity or Knightian uncertainty and ambiguity aversion. In particular, robust control methods are applied to a differential game associated with a problem of international pollution control. Optimal robust feedback rules and state variable paths are derived. The differential game framework is also extended to recently developed deterministic robust control methods which allow direct comparisons between cooperative and noncooperative outcomes.
Keywords: Knightian uncertainty; Ambiguity; Multiplier preferences; Entropy; Robust control; Regulation; Stochastic differential game; Feedback Nash equilibrium; Open loop Nash equilibrium; Cooperative solution (search for similar items in EconPapers)
JEL-codes: C73 D81 Q5 (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1561/102.00000060 (application/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:now:jnlsbe:102.00000060
Access Statistics for this article
More articles in Strategic Behavior and the Environment from now publishers
Bibliographic data for series maintained by Lucy Wiseman ().