On Keynes's a Treatise on Probability and General Theory: Why the Basic, Essential Foundations for Both Works Were Not Understood by Economists and Philosophers

M. E. Brady
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There are two basic kinds of probabilities that Keynes used to operationalize his logical theory of probability, indeterminate, non additive, non linear interval valued probabilities and imprecise, interval valued probabilities based on Boole’s interval valued upper and lower probabilities. Part II of the A Treatise on Probability provided the first axiomatic foundation for additive, linear, mathematical probability and an explicit discussion of non additivity in chapters 10-14. Chapters 15-17 provided Keynes’s own version of Boole’s technical apparatus. Chapter 26 of the A Treatise on Probability summarizes Keynes’s interval valued approach and provides a mathematical decision rule that Keynes called a conventional coefficient of weight and risk, c. Keynes’s c is the first decision rule in history that provides a generalization of the linear and additive probability calculus that extends the theory of decision making to include both non linear and non additive decision weights. In Chapter 29 of the A Treatise on Probability, Keynes provided the first “safety first” approach using lower bounds to establish imprecise probabilities. Keynes’s General Theory is based on Keynes’s own unique, certainty equivalent approach in order to incorporate his interval valued and weight concepts from the A Treatise on Probability. There are two different models in the General Theory-the microeconomic foundations in the theory of the firm, production function, and labor market are provided by the expectational D (aggregate demand function)-Z (aggregate supply function) model that allowed Keynes to construct his Aggregate Supply curve (ASC), a locus of all possible D-Z intersections that are optimal for the entrepreneur. Only one of these intersections will be actually realized. The realized value is called Y. This is used to provide a specific Y, actual or realized, value that is then used in Keynes’s second model-the IS-LP(LM) model. This model is composed of two parts. The first part, Y=C I=C S, leading to the I=S, or IS, equation, incorporates the actual consumption function, marginal propensity to consume, investment function, and investment multiplier. The second part incorporates the L=M, or LM, equation given by Keynes on page 199. It specifies the demand and supply of money, or Liquidity Preference Function. The IS-LM model is not independent from the D-Z-ASC analysis. Keynes divides everything through by w, the money wage, so that questions of money wage flexibility or stickiness will have no bearing on the set of possible full employment or involuntary unemployment results. Changes in w simply shift the ASC up or down. They have absolutely no effect on any of the set of D-Z equilibriums. Keynes brings the IS-LP(LM) and D-Z-ASC models together in chapter 21 of the General Theory in sections IV to VI. One needs to have worked through chapter 20 to understand chapter 21. There is no theory of ordinal probability developed in the A Treatise on Probability. Of course, Keynes’s theory easily allows applications of ordinal probability to be applied. However, Keynes’s theory is mainly a development of Boole’s. There is no ordinal theory of probability developed in Boole’s 1854 The Laws of Thought. There is no conflict between the IS-LP (LM) model and the D-Z model because Keynes is the original creator of both IS-LP(LM) and the D-Z model. 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Abstract

The failure of economists and philosophers to grasp and understand the basic, essential, logical, mathematical and ethical building blocks that were used by Keynes in his construction of the A Treatise on Probability and General Theory explain why Keynes’s work in ethics, decision theory and macroeconomics is caricatured by the question, “What did Keynes really, really mean?” The foundation for both the A Treatise on Probability and General Theory is Keynes’s interval valued approach to probability, based on G. Boole’s 1854 The Laws of Thought, combined with his related concept of the weight of the evidence (not the weight of the argument), which underlies Keynes’s concept of uncertainty in the General Theory. There are two basic kinds of probabilities that Keynes used to operationalize his logical theory of probability, indeterminate, non additive, non linear interval valued probabilities and imprecise, interval valued probabilities based on Boole’s interval valued upper and lower probabilities. Part II of the A Treatise on Probability provided the first axiomatic foundation for additive, linear, mathematical probability and an explicit discussion of non additivity in chapters 10-14. Chapters 15-17 provided Keynes’s own version of Boole’s technical apparatus. Chapter 26 of the A Treatise on Probability summarizes Keynes’s interval valued approach and provides a mathematical decision rule that Keynes called a conventional coefficient of weight and risk, c. Keynes’s c is the first decision rule in history that provides a generalization of the linear and additive probability calculus that extends the theory of decision making to include both non linear and non additive decision weights. In Chapter 29 of the A Treatise on Probability, Keynes provided the first “safety first” approach using lower bounds to establish imprecise probabilities. Keynes’s General Theory is based on Keynes’s own unique, certainty equivalent approach in order to incorporate his interval valued and weight concepts from the A Treatise on Probability. There are two different models in the General Theory-the microeconomic foundations in the theory of the firm, production function, and labor market are provided by the expectational D (aggregate demand function)-Z (aggregate supply function) model that allowed Keynes to construct his Aggregate Supply curve (ASC), a locus of all possible D-Z intersections that are optimal for the entrepreneur. Only one of these intersections will be actually realized. The realized value is called Y. This is used to provide a specific Y, actual or realized, value that is then used in Keynes’s second model-the IS-LP(LM) model. This model is composed of two parts. The first part, Y=C I=C S, leading to the I=S, or IS, equation, incorporates the actual consumption function, marginal propensity to consume, investment function, and investment multiplier. The second part incorporates the L=M, or LM, equation given by Keynes on page 199. It specifies the demand and supply of money, or Liquidity Preference Function. The IS-LM model is not independent from the D-Z-ASC analysis. Keynes divides everything through by w, the money wage, so that questions of money wage flexibility or stickiness will have no bearing on the set of possible full employment or involuntary unemployment results. Changes in w simply shift the ASC up or down. They have absolutely no effect on any of the set of D-Z equilibriums. Keynes brings the IS-LP(LM) and D-Z-ASC models together in chapter 21 of the General Theory in sections IV to VI. One needs to have worked through chapter 20 to understand chapter 21. There is no theory of ordinal probability developed in the A Treatise on Probability. Of course, Keynes’s theory easily allows applications of ordinal probability to be applied. However, Keynes’s theory is mainly a development of Boole’s. There is no ordinal theory of probability developed in Boole’s 1854 The Laws of Thought. There is no conflict between the IS-LP (LM) model and the D-Z model because Keynes is the original creator of both IS-LP(LM) and the D-Z model. Each model plays an important role.
论凯恩斯的《概率论与通论》:为什么经济学家和哲学家不理解这两部著作的基本、必要的基础
经济学家和哲学家们未能掌握和理解凯恩斯在构建《概率论与通论》中所使用的基本的、必要的、逻辑的、数学的和伦理的构建模块,这解释了为什么凯恩斯在伦理学、决策理论和宏观经济学方面的工作被“凯恩斯到底是什么意思?”这个问题所讽刺。《概率论》和《通论》的基础是凯恩斯对概率的区间值方法,该方法基于G. Boole 1854年的《思想法则》,结合了他的证据权重(而不是论点权重)的相关概念,这是凯恩斯在《通论》中不确定性概念的基础。凯恩斯用来实现其逻辑概率论的基本概率有两种:不确定的、非加性的、非线性的区间值概率和基于布尔区间值上下概率的不精确的区间值概率。《概率论》的第二部分为可加性、线性、数学概率论提供了第一个公理基础,并在第10-14章中明确讨论了非可加性。第15-17章提供了凯恩斯自己版本的布尔技术工具。《概率论》第26章总结了凯恩斯的区间值方法,并提供了一个数学决策规则,凯恩斯称之为常规权重和风险系数c。凯恩斯的c是历史上第一个决策规则,它提供了线性和可加概率演算的概括,将决策理论扩展到包括非线性和非可加决策权重。在《概率论》的第29章中,凯恩斯提出了第一个“安全第一”的方法,使用下界来建立不精确的概率。凯恩斯的通论是基于凯恩斯自己独特的,确定性等效的方法,以纳入他的区间值和权重的概念,从概率论。在《通论》中有两种不同的模型——企业理论、生产函数和劳动力市场理论中的微观经济基础由预期D(总需求函数)-Z(总供给函数)模型提供,该模型允许凯恩斯构建他的总供给曲线(ASC),这是所有可能的D-Z交叉点的轨迹,对企业家来说是最优的。这些交集中只有一个会真正实现。实现的价值被称为Y。这是用来提供一个具体的Y,实际或实现的价值,然后在凯恩斯的第二个模型- is - lp (LM)模型中使用。该模型由两部分组成。第一部分Y=C I=C S,得到I=S或IS方程,该方程包含了实际消费函数、边际消费倾向、投资函数和投资乘数。第二部分采用了凯恩斯在199页给出的L=M或LM方程。它指定了货币的需求和供给,或流动性偏好函数。is - lm模型并非独立于D-Z-ASC分析。凯恩斯把所有东西都除以w,货币工资,因此货币工资的灵活性或粘性问题将与可能的充分就业或非自愿失业结果无关。w的变化只是使ASC向上或向下移动。它们对任何一组D-Z均衡都没有影响。凯恩斯将IS-LP(LM)和D-Z-ASC模型放在通论第21章的第四至第六节中。一个人需要读完第20章才能理解第21章。在《概率论》中并没有发展出序数概率论。当然,凯恩斯的理论很容易允许应用顺序概率。然而,凯恩斯的理论主要是对布尔理论的发展。在布尔1854年的《思维法则》一书中,并没有发展出序数的概率论。is - lp (LM)模型和D-Z模型之间没有冲突,因为凯恩斯是is - lp (LM)和D-Z模型的最初创造者。每种模式都扮演着重要的角色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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