Optimal Social Policies in Mean Field Games
This paper analyzes problems in which a large benevolent player, controlling a set of policy variables, maximizes aggregate welfare in a continuous-time economy populated by atomistic agents subject to idiosyncratic shocks. We first provide as a benchmark the social optimum solution, in which a plan...
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Published in | Applied mathematics & optimization Vol. 76; no. 1; pp. 29 - 57 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.08.2017
Springer Nature B.V |
Subjects | |
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Abstract | This paper analyzes problems in which a large benevolent player, controlling a set of policy variables, maximizes aggregate welfare in a continuous-time economy populated by atomistic agents subject to idiosyncratic shocks. We first provide as a benchmark the social optimum solution, in which a planner directly determines the individual controls. Then we analyze the optimal design of social policies depending on whether the large player may credibly commit to the future path of policies. On the one hand, we analyze the open-loop Stackelberg solution, in which the optimal policy path is set at time zero and the problem is time-inconsistent. On the other hand we analyze the time-consistent feedback Stackelberg solution. |
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AbstractList | This paper analyzes problems in which a large benevolent player, controlling a set of policy variables, maximizes aggregate welfare in a continuous-time economy populated by atomistic agents subject to idiosyncratic shocks. We first provide as a benchmark the social optimum solution, in which a planner directly determines the individual controls. Then we analyze the optimal design of social policies depending on whether the large player may credibly commit to the future path of policies. On the one hand, we analyze the open-loop Stackelberg solution, in which the optimal policy path is set at time zero and the problem is time-inconsistent. On the other hand we analyze the time-consistent feedback Stackelberg solution. |
Author | Nuño, Galo |
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Cites_doi | 10.1137/110841217 10.1016/j.crma.2006.09.018 10.1086/674363 10.1137/100790069 10.1137/120883499 10.2307/2118417 10.1016/j.crma.2006.09.019 10.1137/090758477 10.1016/j.jet.2015.07.005 10.1214/14-AOP946 10.1086/260580 10.1007/s11537-007-0657-8 10.1007/978-1-4614-8508-7 10.1137/120892477 10.1109/TAC.2012.2183439 10.1007/s00245-016-9385-x 10.1137/080735370 10.1146/annurev.economics.050708.142922 10.1214/15-AAP1125 10.1007/978-0-8176-4755-1 10.1007/s11579-012-0089-y 10.3982/ECTA5989 10.1142/9121 10.1137/120889496 10.1007/s00245-015-9309-1 10.2139/ssrn.1922706 10.1007/978-0-387-70914-7 10.1515/9781400830169 10.1109/CDC.2012.6425984 |
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Copyright | Springer Science+Business Media, LLC 2017 Applied Mathematics & Optimization is a copyright of Springer, 2017. |
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Keywords | Time-inconsistency Mean field games Stackelberg solution Gateaux derivative Mean field control |
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SubjectTerms | Calculus of Variations and Optimal Control; Optimization Continuity (mathematics) Control Economic models Games Mathematical and Computational Physics Mathematical Methods in Physics Mathematics Mathematics and Statistics Numerical and Computational Physics Optimization Simulation Social policy Systems Theory Theoretical |
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Title | Optimal Social Policies in Mean Field Games |
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