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An anticipative feedback solution for the infinite-horizon, linear-quadratic, dynamic, Stackelberg game
被引:5
作者:
Chen, BL
[1
]
Zadrozny, PA
机构:
[1] Rutgers State Univ, Dept Econ, Camden, NJ 08102 USA
[2] US Bur Labor Stat, Washington, DC 20212 USA
关键词:
noncooperative games;
solving Riccati-type nonlinear algebraic equations;
D O I:
10.1016/S0165-1889(01)00077-X
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This paper derives and illustrates a new suboptimal-consistent feedback solution for an infinite-horizon, linear-quadratic, dynamic, Stackelberg game. This solution lies in the same solution space as the infinite-horizon, dynamic-programming, feedback solution but puts the leader in a preferred equilibrium position. The idea comes from Kydland (J. Econ. Theory 15 (1977)) who suggested deriving a consistent feedback solution for an infinite-horizon, linear-quadratic, dynamic, Stackelberg game by varying the coefficients in the player's linear constant-coefficient decision rules. Here feedback is understood in the sense of setting a current control vector as a function of a predetermined state vector. The proposed solution is derived for discrete- and continuous-time games and is called the anticipative feedback solution. The solution is illustrated with a numerical example of a duopoly model. (C) 2002 Elsevier Science B.V. All rights reserved.
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页码:1397 / 1416
页数:20
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