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SSRN Electronic Journal
Article . 2004 . Peer-reviewed
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Uncertainty in a Fisherey Management Game

Authors: Engwerda, J.C.;

Uncertainty in a Fisherey Management Game

Abstract

In this paper we analyze the consequences of taking noise into account in a simple twoperson fishery management game.Both a stochastic and deterministic formulation are considered.Compared to the noise-free model it is shown that the used stochastic frameworkhas no implications for the equilibrium actions, whereas in the deterministic formulation as well the number of as the equilibrium actions themselves depend on the model parameters.The various equilibrium actions predicted using the deterministic frameworkseem to be quite plausible.

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Netherlands
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Keywords

linear quadratic differential games, infinite planning horizon, feedback information structure, linear quadratic differential games; feedback information structure; soft-constrained Nash equilibrium; infinite planning horizon, linear quadratic differential games;feedback information structure;soft-constrained Nash equilibrium;infinite planning horizon, soft-constrained Nash equilibrium, jel: jel:C61, jel: jel:C72, jel: jel:C73

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average