An infinite-horizon mean field game of growth and capital accumulation: A markov chain approximation numerical scheme and its challenges

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review

Abstract

In this paper, we characterize an infinite-horizon mean field game of growth and capital accumulation. We present a Markov chain approximation scheme (Kushner, Numerical methods for non-zero-sum stochastic differential games: convergence of the Markov chain approximation method. In: Chow PL, Yin G, Mordukhovich B (eds) Topics in stochastic analysis and nonparametric estimation. The IMA volumes in mathematics and its applications, vol 145. Springer, New York, 2008, pp 51–84) as potentially useful for obtain the numerical (Formula Presented)-Nash equilibrium solution to the infinite-horizon mean field system of equations and highlight some of the key challenges in implementing the scheme.

Original languageEnglish
Title of host publicationAnnals of the International Society of Dynamic Games
PublisherBirkhauser
Pages229-238
Number of pages10
DOIs
Publication statusPublished - 2020

Publication series

NameAnnals of the International Society of Dynamic Games
Volume16
ISSN (Print)2474-0179
ISSN (Electronic)2474-0187

Keywords

  • (Formula Presented)-Nash equilibrium
  • Markov-chain approximation
  • Mean field games

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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