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Consumption Demand, Uncertainty and Stochastic Process

机译:消费需求,不确定性和随机过程

摘要

Part I of this paper reexamines the consumption demand under uncertain future wage income. In particular, we comprehensively reexamine the “Expected Utility Maximization Method” (EUM, developed by Hall[1978]), and propose an alternative method (“Certainty Equivalence Method”, CEM) to derive the consumption demand under uncertainty. We emphasize that the consumption demand should be established as a stochastic variable before considering its expected utility, an important logical point which seems to have escaped appropriate professional attention. We will show that, in contrast to EUM, our method (CEM) is applicable to any type of risk preference. Based on Part I, we examine in Part II how to derive a refutable hypothesis concerning the consumption demand as a stochastic process, consistently with the consumption demand derived by CEM. Again, it is necessary to reconsider the problem comprehensively, particularly in relation to the risk preference of the consumer. It will be shown that the risk neutrality is one of the important sufficient conditions for the consumption time series to have the martingale property.
机译:本文的第一部分重新审视了未来工资收入不确定情况下的消费需求。特别是,我们全面地重新研究了“期望效用最大化方法”(EUM,由Hall [1978]开发),并提出了另一种方法(“等价性方法”,CEM)来推导不确定性下的消费需求。我们强调,在考虑预期的效用之前,应将消费需求确定为随机变量,这是一个重要的逻辑点,似乎已引起适当的专业关注。与EUM相比,我们将证明我们的方法(CEM)适用于任何类型的风险偏好。在第一部分的基础上,我们将在第二部分中研究如何推导关于消费需求作为随机过程的可推论假设,这一假设与CEM得出的消费需求一致。同样,有必要全面地重新考虑该问题,尤其是与消费者的风险偏好有关的问题。可以证明,风险中性是使消费时间序列具有ting属性的重要充分条件之一。

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