2017
DOI: 10.1177/1847979017731670
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Game equilibria and unification dynamics in networks with heterogeneous agents

Abstract: We study game equilibria in a model of production and externalities in network with two types of agents who possess different productivities. Each agent may invest a part of her endowment (it may be, for instance, time or money) in the first of two time periods; consumption in the second period depends on her own investment and productivity as well as on the investments of her neighbors in the network. Three ways of agent's behavior are possible: passive (no investment), active (a part of endowment is invested… Show more

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Cited by 12 publications
(6 citation statements)
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References 15 publications
(22 reference statements)
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“…Following [12], we introduce the dynamics caused by a small deviation from an equilibrium or by the union of separate networks each of which was in an equilibrium. The dynamics will be modeled in the following way.…”
Section: Dynamics In Complete Network: Determinant Of System Of Difference Equations and Dynamic Equationmentioning
confidence: 99%
See 3 more Smart Citations
“…Following [12], we introduce the dynamics caused by a small deviation from an equilibrium or by the union of separate networks each of which was in an equilibrium. The dynamics will be modeled in the following way.…”
Section: Dynamics In Complete Network: Determinant Of System Of Difference Equations and Dynamic Equationmentioning
confidence: 99%
“…Sections 2 and 3 contain the well-known results obtained by Matveenko and Korolev; for example, see [11,12]. Definitions 4.1 and 5.1 that are given at the beginning of Sections 4 and 5, respectively, also ideologically follow the paper [12].…”
Section: Introductionmentioning
confidence: 95%
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“…However, investigating mutual relationships of agents is an important issue for a productivity analysis. As an example, Matveenko et al 41 show three types of behaviour of agents whose productivities are different, based on a model of production and externalities in network with two types of agents.…”
Section: Introductionmentioning
confidence: 99%