Application of Mean Field Games to Growth Theory

By Jean-Michel Lasry, Pierre-Louis Lions, Olivier Guéant. 2008

62 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e00a6df6ce21d54c851ffc9863a6e09a82a14ea2

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Citations in the corpus

Superposition and mimicking theorems for conditional McKean–Vlasov equations (2020, background): “1], and also [57, 36, 16, 10, 19, 55, 1, 8, 18, 53, 2, 38, 46]), as well as the dynamics of a particle in the large-scale limit of a particle system with mean field interactions and common noise (see, e.”
Mean Field Games Models—A Brief Survey (2013, background): “Applications of mean ﬁeld games arise in the study of growth theory in economics [73] or environmental policy [68], for instance, and it is likely that in the future they will play an important role in economics and population models.”
A stochastic Evans-Aronsson problem (2013, background): “Mean-field games is a new class of problems introduced by Lions and Lasry [LL06a], [LL06b], [LL07a] and [LL07b] (see also [LLG10a], [LLG10b]), as well as independently by P.”
Time dependent mean-field games in the superquadratic case (2013, methodology): “These include numerical methods [2, 3, 36], applications in economics [32, 41] and environmental policy [36], finite state problems [17, 27, 28], explicit models [33, 45], obstacle-type problems [19], congestion [18, 25], extended mean-field games [24, 29], probabilistic methods [13, 14], long-time ”
Time-Dependent Mean-Field Games in the Subquadratic Case (2013, background): “In particular, a number of problems have been worked out in detail by various authors, including numerical methods [LST10], [ACD10], [ACCD12], applications in economics [LLG10a], [Gué09a] and environmental policy [LST10], finite state problems [GMS10], [GMS13], [FG13], explicit models [Gué09b], [NH1”