G2TT
来源类型Article
规范类型其他
DOI10.1016/S0304-4068(00)00037-9
Global convergence of the stochastic tatonnement process.
Ermoliev YM; Keyzer MA; Norkin VI
发表日期2000
出处Journal of Mathematical Economics 34 (2): 173-190
出版年2000
语种英语
摘要The paper introduces stochastic elements into the Walrasian tâtonnement process, both to make it more realistic and to ensure its global convergence, with probability 1. It is assumed that the aggregate excess demand satisfies standard assumptions but is subject to measurement error. We distinguish two cases. First, the true aggregate excess demand is assumed to satisfy the Weak Axiom of Revealed Preference. This condition will be met if the underlying economy has a single consumer, several consumers with identical homothetic utility functions, or if it maximizes a social welfare function. We prove that after two minor modifications, under a fairly general specification of the measurement error and by imposing a certain consistency property on the estimator of excess demand, the tâtonnement process converges with probability 1 to an equilibrium. Second, we consider the case that the Weak Axiom only holds around some of the equilibria. The procedure proposed imposes a random shock at time intervals of increasing duration. We also discuss how the procedure could be extended to determine all equilibria, to deal with jumps in excess demand including those that do not satisfy the Weak Axiom, and to represent agents who only gradually learn how to find an optimum.
主题Risk, Modeling and Society (RMS)
关键词Stochastic tâtonnement Path dependence Stochastic optimization Martingales Simulated annealing
URLhttp://pure.iiasa.ac.at/id/eprint/5989/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127913
推荐引用方式
GB/T 7714
Ermoliev YM,Keyzer MA,Norkin VI. Global convergence of the stochastic tatonnement process.. 2000.
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