A Note On Researching Keynes's Work In Probability

B. Bateman
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引用次数: 3

Abstract

Perhaps the most actively discussed aspect of Keynes's thought during the last decade has been his concern with uncertainty and probability theory. As the concerns of current macroeconomic theorists have turned increasingly to the effects of expectations and uncertainty, interest has grown in the fact that Keynes was the author of A Treatise on Probability (1921) and that uncertainty plays a prominent role in Chapter 12 of The General Theory, as well as in three 1937 papers in which he summarized The General Theory's main points. Not surprisingly, however, there has been very little agreement in this recent discussion about exactly what the significance of Keynes's early work in probability was to his later work as an economist or about what the roles of expectations and uncertainty are in The General Theory. Several commentators have argued that there is no real relationship between Keynes's earlier work and The General Theory or that uncertainty plays no significant role in his economic theorizing chief among them Coddington (1982, 1983) and Patinkin (1976. 1983). Others have argued that there is a connection between Probability and Keynes's later work, but the nature and significance of the relationship has been interpreted in many different ways. G. L. S. Shackle (1961, 1974) and others have interpreted the connection to demonstrate that Keynes was a post-Keynesian; E. Roy Weintraub (1975, 1979) has used the connection to argue that Keynes's work serves as an example of the appropriateness of general equilibrium (i.e., neo-classical, ArrowDebreu) modelling under uncertainty to macroeconomics; Allan Meltzer (1981) has used the connection to argue that Keynes was a rational expectationist. In response to this great diversity of opinion I began to research Probability and its possible connection to Keynes's other work about three years ago. The purpose of this note, though, is not to adjudicate between the previous commentators, but to report on two findings of my research which have not been considered in their work. Both findings indicate the need for further examination of Keynes's work in probability theory. I. Careful exegesis of Keynes's writings in the 1930's indicates that his fundamental conception of what probability is changed after the publication of Probability; whereas he had advocated a single theory of probability in his book, he advocated at least two different theories by 1938. The theory originally presented in Probability denied that the probability of an occurrence referred to the proportion of times that it occurred, or its relative frequency, and contended instead that it referred to the degree of belief that was held in the occurrence's actually happening. Thus, the probability of rain on a given day was not the proportion of times that rain had occurred on meteorologically similar days, but rather the degree of belief that one held that it would rain given one's information (O = certainty that it would not rain; 1 = certainty that it would). Keynes further contended that these degrees of belief were objective in the sense that all reasonable men would agree on their value given the same information. Drawing on the Greek word for knowledge, episteme, philosphers of science today call such a theory of probability an objective epistemic theory. Keynes apparently dropped his belief in the objectivity of probabilities, however, when he responded to Frank Ramsey's (1931) criticism of Probability. Ramsey contended that such degrees of belief were subjective, or individually determined by each individual, and Keynes accepted this criticism in his 1931 review of the posthumous
关于研究凯恩斯的概率论工作的注解
也许在过去十年中,凯恩斯思想中最被热烈讨论的方面是他对不确定性和概率论的关注。随着当前宏观经济理论家的关注点越来越多地转向预期和不确定性的影响,人们对凯恩斯是《概率论》(1921)的作者这一事实越来越感兴趣,不确定性在《通论》第12章以及1937年他总结《通论》主要观点的三篇论文中发挥了突出作用。然而,毫不奇怪,在最近的讨论中,关于凯恩斯早期的概率论研究对他后来作为经济学家的工作究竟有何意义,或者关于预期和不确定性在《通论》中扮演的角色,人们几乎没有达成一致意见。一些评论家认为,凯恩斯早期的著作和《通论》之间没有真正的联系,或者不确定性在他的经济学理论中没有发挥重要作用,其中包括柯丁顿(Coddington, 1982, 1983)和帕廷金(Patinkin, 1976)。1983)。其他人认为,概率论和凯恩斯后来的著作之间存在联系,但这种关系的性质和意义有许多不同的解释。G. L. S. Shackle(1961, 1974)和其他人解释了这种联系,证明凯恩斯是后凯恩斯主义者;E. Roy Weintraub(1977,1979)利用这种联系认为,凯恩斯的工作可以作为不确定性下一般均衡(即新古典主义,ArrowDebreu)模型适用于宏观经济学的一个例子;艾伦•梅尔策(Allan Meltzer, 1981)利用这种联系论证凯恩斯是一位理性预期主义者。为了应对这种巨大的意见分歧,大约三年前,我开始研究《概率论》及其与凯恩斯其他著作的可能联系。然而,这篇文章的目的并不是要在之前的评论者之间做出评判,而是要报告我的研究的两个发现,这些发现在他们的工作中没有被考虑到。这两项发现都表明,有必要进一步研究凯恩斯在概率论方面的工作。一、对凯恩斯20世纪30年代著作的仔细解读表明,在《概率论》出版后,他对概率的基本概念发生了变化;虽然他在书中主张单一的概率论,但到1938年,他至少主张两种不同的理论。最初在《概率论》中提出的理论否认一件事发生的概率是指它发生的时间的比例,或者它的相对频率,而是认为它是指人们对这件事实际发生的相信程度。因此,某一天下雨的概率不是气象上相似的日子里下雨的次数的比例,而是一个人在给定信息的情况下相信会下雨的程度(O =确定不会下雨;1 =肯定会)。凯恩斯进一步认为,这些信念程度是客观的,因为所有理性的人都会在给定相同信息的情况下同意它们的价值。今天的科学哲学家借用希腊语中的知识episteme,把这种概率论称为客观认识论。然而,当凯恩斯回应弗兰克•拉姆齐(Frank Ramsey, 1931)对概率论的批评时,他显然放弃了对概率客观性的信仰。拉姆齐认为,这种程度的信仰是主观的,或者是由每个人单独决定的,凯恩斯在1931年对他死后的评论中接受了这一批评
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