Abstract
We present a modification of the Ramsey model that describes the consumer behavior of the households. We assume that the salary of the households is a stochastic process, defined by the stochastic differential equation (SDE). The impact of the large amount of the households can be modelled by a mean field term. This leads to a Kolmogorov–Fokker–Planck equation, evolving forward in time that describes the evolution of the probability density function of the households. Considering a Hamilton–Jacobi–Bellman equation, evolving backwards in time that describes the optimal strategy of the households behavior, we obtain a Mean Field Game problem. We present a self-similar solution of the Hamilton–Jacobi–Bellman equation and introduce the numerical solution of the Kolmogorov–Fokker–Planck equation.
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Funding
The work has been supported by Russian Foundation for Basic Research (grant no. 20-07-00285).
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(Submitted by A. V. Lapin)
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Shananin, A.A., Trusov, N.V. The Household Behavior Modeling Based on Mean Field Games Approach. Lobachevskii J Math 42, 1738–1752 (2021). https://doi.org/10.1134/S1995080221070209
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DOI: https://doi.org/10.1134/S1995080221070209