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2009, Cambridge Journal of Economics
This paper argues that Ellsberg's and Shackle's frameworks for discussing the limits of the (subjective) probabilistic approach to decision theory are not as different as they may appear. To stress the common elements in their theories Keynes's Treatise on Probability provides an essential starting point. Keynes's rejection of well-defined probability functions, and of maximisation as a guide to human conduct, is shown to imply a reconsideration of what probability theory can encompass that is in the same vein of Ellsberg's and Shackle's concern in the years of the consolidation of Savage's new probabilistic mainstream. The parallel between Keynes and the two decision theorists is drawn by means of a particular assessment of Shackle's theory of decision, namely, it is interpreted in the light of Ellsberg's doctoral dissertation. In this thesis, published only as late as 2001, Ellsberg developed the details and devised the philosophical background of his criticism of Savage as first put forward in the famed 1961 QJE article. The paper discusses the grounds on which the ambiguity surrounding the decision maker in Ellsberg's urn experiment can be deemed analogous to the uncertainty faced by Shackle's entrepreneur taking "unique decisions." The paper argues also that the insights at the basis of the work of both Shackle and Ellsberg, as well as the criteria for decision under uncertainty they put forward, are relevant to understand the development of modern decision theory.
SSRN Electronic Journal, 2000
This paper discusses the evolution of decision theory after Savage's Foundations. Two developments are examined. First, it is presented the rationale of Shackle's proposal to abandon probabilistic decision making. Second, it is discussed the axiomatisation provided by the nonadditive probability approach to account for the experimental evidence originated by the Ellsberg
SSRN Electronic Journal, 2021
On the occasion of the assessment of the enduring influence of Keynes's Treatise on Probability at 100 years, this paper focuses on its relevance for decision theory. The paper places emphasis on Keynes's introduction of the epistemic notion of probabilities that often are non-numerical, as a theoretical object intended to replace frequency probabilities. The paper argues that, as non-numerical probabilities make it possible to deal with uncertainty as if individuals were endowed with interval-valued probabilities, Keynes's 1921 critique of contemporary frequency probability theory turns out to be relevant also with regard to the yet to be established subjective probability theory. Although non-numerical probabilities were used by Keynes to criticize the contemporary application of probability to conduct, it must be acknowledged that, still today, they may constitute an appropriate tool for decision-making when confronting uncertainty, as he hinted at in his late 1930s correspondence with Hugh Townshend.
Social Science Research Network, 2022
Knight's risk/uncertainty distinction is reviewed in its original context as a contribution to the theory of profit. Knight's approach to probability is paralleled by Ludwig von Mises, as emphasised by recent developments in strategic entrepreneurship theory. Von Mises distinguishes between class probability (i.e., risk) and case probability (i.e., uncertainty) in contrast to the frequentist approach of his brother, Richard von Mises. Keynes's contribution to probability and uncertainty is reviewed, focusing on his logical theory of probability in A Treatise on Probability which he more fully contextualised subsequently in the General Theory. Keynes's fragmentary later philosophical writings are reviewed to provide some insight into the contextual issues encountered. The key contributions of Knight and Keynes are summarised as signposts for 'The Road Less Travelled'. The possibilities of a Keynesian-Knightian synthesis as a way forward are considered by comparing these signposts. However, it is concluded that, although there is some common ground between Knight and Keynes, there are fundamental differences particularly associated with the definition of confidence that preclude any meaningful synthesis.
This paper focuses on Keynes's understanding of individual decision-making under uncertainty and tries to address a question left mostly unexplained in the critical literature. On re-reading Keynes after the recent surge of interest induced by the financial crisis, a number of scholars have placed emphasis on well-known excerpts from the General Theory dealing with the " state of long-term expectations. " Keynes evidenced that future events conditioning economic activity in general, and investment in particular, " can only be forecasted with more or less confidence, " and that " the state of confidence, as they term it, is a matter to which practical men always pay the closest and most anxious attention, " while economic theory does not. In these instances, Keynes argued, people may fall back on " conventions, " which give them assurance that they are doing the right thing. As a result, " to behave in a manner which saves our faces as rational, economic men … we have devised for the purpose a variety of techniques. " But Keynes's main message is that under uncertainty " [a]ll these pretty, polite techniques, made for a well-panelled Board Room and a nicely regulated market, are liable to collapse. " For instance, conventional behaviour easily turns into herd behaviour, and financial markets are pervaded by alternating currents of euphoria and panic. So a question remains: how should Keynesian agents behave in markets continuously on the brink to fail? Are there, rephrasing Keynes, " impolite techniques " to be used under uncertainty or must we end up admitting that " we simply do not know, " and behave in a conventionally understood fashion? The paper offers a reading of Keynes suggesting that the thread going from Keynes's Treatise on Probability to the General Theory and its defence provides a positive analysis of decision-making under uncertainty, and argues that placing emphasis on this positive analysis simply means adhering to Keynes's long-standing commitment to interpret reasonable judgement in a (surely unconventional) probabilistic setup .
Metroeconomica, 2009
The paper discusses the role of George L.S. Shackle in fostering an unconventional approach to individual decision making. Up until the early 1970s Shackle was the single critic of the probabilistic approach to decision making who proposed an alternative formal corpus for dealing with uncertainty. The main aim of the paper is to analyse Shackle's non-probabilistic conceptualization of individual decisions under uncertainty from a specific viewpoint, namely that of a possible connection between his theory and one of the most interesting recent approaches to decision under uncertainty, the so-called non-additive probability approach of Gilboa and Schmeidler. The paper shows that these developments in modern decision theory take Shackle's issue seriously and confirm that the reliance of strict Bayesian theory on probabilistic judgements based on point-probability estimates, a reliance that Shackle intended to oppose, is untenable. Non-additive decision theory also provides a usage of non-additive probability distributions in choice that is an alternative to Shackle's approach of using a qualitative notion of probability, such as potential surprise. two anonymous referees are gratefully acknowledged. The usual disclaimer applies.
Economy & finance, 2020
The authors of this paper set out to answer the question of whether Keynes's logical theory of probability had an impact on his own economic thinking. The authors review criticisms that had been expressed previously; then, with regard to the applicability of the classical concept of probability to economics, they introduce the foundations of Keynes's logical theory of probability and the difficulties involved in its practical application. This is followed by an examination-within the Keynesian conceptual framework-of the role of uncertainty. The next sections are given over to an analysis of the role of "animal spirits", and of expectations, with a discussion of investment decisions made from positions of uncertainty. This train of thought focuses on the dilemma of whether there was continuity or a break, over time, in the role of probability in economics within the Keynesian conceptual framework. After this, the authors outline the competing 20 th century interpretations of probability embodied by the rearticulated version of relative frequency theory on the one hand, and the evolution of probability theory outside the economics paradigm on the other. The authors conclude with their assertation that probability theory did have a considerable impact on Keynes's thinking on economic theory.
ResearchGate, 2023
Unfortunately, Jackson Lears’ June, 2023 article and 2023 book on uncertainty and animal spirits, respectively ,are based precisely on the severely deficient work of the Post Keynesian school of economics on uncertainty and animal spirits ,the foundation of which is the utterly, intellectually ,worthless work of F P Ramsey, I J Good ,R .Skidelsky, G L S Shackle and Terrence Hutchison’s Pseudo Keynesians (Joan Robinson , Austin Robinson, Richard Kahn, Roy Harrod). The many, many errors in Ramsey’s two reviews of 1922 and 1926 or in I J Good’s published work on Keynes between 1950-1990, concerning Keynes’ s logical theory of probability ,or in any article published by a Post Keynesian or heterodox economist , on Keynes’s 1921 A Treatise on Probability, are easily identified by any reader of Keynes’s A Treatise on Probability .Of course, this requires the reader to have been familiar with Keynes’s use of (a) Boole’s formal, mathematical, symbolic , relational ,propositional logic that permeates Keynes’s A treatise on Probability,(b) Keynes’s imprecise view of probability ,based on Boole’s lower and upper ,interval valued probability ,and (c) Keynes’s views on animal spirits ,which follow directly from Keynes’s understanding of Boole’s treatment of this topic in his The Laws of Thought. The main problem with all heterodox accounts of Keynes’s approach in his A Treatise on Probability /General Theory is their complete and total ignorance of Keynes’s Boolean based approach that Boole put forth in 1854 in his The Laws of Thought. Keynes always, in general, rejected mathematical expectations as unreasonable, but he never, ever propounded the Post Keynesian and Heterodox claims about basing decision making on comparative or ordinal probability. Keynes’s emphasis was on inexact measurement and approximation through the use of interval valued probability and/or decision weights, such as his conventional coefficient , c. We can call Keynes’s approach to expectations “Logical “or “Boolean “expectations. Until this fundamental, basic fact is acknowledged by the Post Keynesians and Heterodox economists, it will be impossible for them to be able to grasp what concept of uncertainty Keynes used. Hishiyama described Keynes's approach , in 1969,as being Keynes’s “new logic of uncertainty.” , which has nothing to do with the Heterodox-Carabelli-Dow concept of an ordinary, common, discourse logic and the Skidelsky--Lawson-Carabelli-O’Donnell clams about ordinal probability. It has everything to do with Boole’s formal, mathematical, symbolic relational, propositional logic and interval valued probabilities. Of course ,this will not happen ,given the failure of Post Keynesians to read The Laws of Thought and A Treatise on Probability.
The European Journal of the History of Economic Thought, 2018
2005
G.L.S Shackle's rejection of the probability tradition stemming from Knight's definition of uncertainty was a crucial episode in the development of modern decision theory. A set of methodological statements characterizing Shackle's stance, abandoned for long, especially after Savage's Foundations, have been rediscovered and are at the basis of current non-expected utility theories, in particular of the non-additive probability approach to decision making. This paper examines the discussion between Shackle and his critics in the 1950s. Drawing on Shackle's papers housed at Cambridge University Library as well as on printed matter, we show that some critics correctly understood two aspects of Shackle's theory which are of the utmost importance in our view: the non-additive character of the theory and the possibility of interpreting Shackle's ascendancy functions as a specific distortion of the weighting function of the decision maker. It is argued that Shackle neither completely understood criticisms nor appropriately developed suggestions put forward by scholars like Kenneth Arrow, Ward Edwards, Nicholas Georgescu-Roegen. Had he succeeded in doing so, we contend, his theory might have been a more satisfactory alternative to Savage's theory than it actually was.
2020
This paper explores archival material concerning the reception of Leonard J. Savage’s foundational work of rational choice theory in its subjective-Bayesian form. The focus is on the criticism raised in the early 1960s by Daniel Ellsberg, William Fellner and Cedric Smith, who were supporters of the newly developed subjective approach, but could not understand Savage’s insistence on the strictversion he shared with Bruno de Finetti. The episode is well-known, thanks to the so-called Ellsberg Paradox and the extensive reference made to it in current decision theory. But Savage’s reaction to his critics has never been examined. Although Savage never really engaged with the issue in his published writings, the private exchange with Ellsberg and Fellner, and with de Finetti about how to deal with Smith, shows that Savage’s attention to the generalization advocated by his correspondents was substantive. In particular, Savage’s defence of the normative value of rational choice theory again...
2008
This paper deals with the intellectual environment in which George L. S. Shackle's theory of decision making was formulated and first discussed. Shackle's approach had a great impact on decision theory in late 1940s and early 1950s being the single formalised attempt to discard the probability framework in the description of behaviour under uncertainty-a goal shared by Knight and Keynes. Against Shackle, Arrow defended the use of probability theory in decision making, by denying that the Knightian distinction between risk and uncertainty had any behavioural significance, and paving the way to Savage's Foundations of Statistics as the new mainstream reference. Through an assessment of the reception of Shackle's theory the paper presents the way a number of theoretical economists, psychologists, and mathematicians were interested in the viability of a formally structured alternative to theories of behaviour using probability statements to describe uncertainty. The paper aims to show that the lively but concentrated discussion on alternative decisional criteria Shackle was part of is crucial to understand the multifarious developments observed in modern decision theory in the last twenty years or so. Indeed, as discussed in a twin paper by Basili and Zappia, Shackle's theory was a much more viable alternative to subjective expected utility than both its contemporary critics and modern decision theorists have recognised.
G.L.S Shackle’s rejection of the probability tradition stemming from Knight's definition of uncertainty was a crucial episode in the development of modern decision theory. A set of methodological statements characterizing Shackle’s stance, abandoned for long, especially after Savage’s Foundations, have been re-discovered and are at the basis of current non-expected utility theories, in particular of the non-additive probability approach to decision making. This paper examines the discussion between Shackle and his critics in the 1950s. Drawing on Shackle’s papers housed at Cambridge University Library as well as on printed matter, we show that some critics correctly understood two aspects of Shackle’s theory which are of the utmost importance in our view: the non-additive character of the theory and the possibility of interpreting Shackle’s ascendancy functions as a specific distortion of the weighting function of the decision maker. It is argued that Shackle neither completely ...
The British Journal for the Philosophy of Science, 1993
Introduction 1 Review of the Literature 2 Keynes's Conventional Coefficient of Risk and Weight 3 The Ellsberg and Popper Paradoxes 4 Some Applications (A) Probabilistic Insurance (B) Insurance (C) The Kunreuther Paradox of Flood Insurance (D) A Problem ...
Economy & finance
The subject of this paper is the direct influence of uncertainty on economic decisions. The first part is a historical overview of the use of probability as a decisionmaking tool. The second part explores points of connection between Keynesian economics and uncertainty. After the discussion of epistemological and ontological uncertainty, the substance of fundamental uncertainty is elaborated. A separate section is dedicated to the role of ‘animal spirits’, conventions and ‘black swan’ phenomena. The closing section focusses on atomic and organic interrelationships in the economic material, the relation between complexity and uncertainty, and with the triangle probability-uncertainty-econometrics. The aim of the paper is to substantiate that uncertainty – whether it is termed ‘fundamental’, ‘radical’, ‘irreducible’ or else – is unavoidably and inevitably part of economic reasoning and decision-making.
SSRN Electronic Journal, 2010
Both Smith and Keynes have very similar conceptual approaches to what probability is, how it is used and applied and the areas of application in which it can aid a decision maker. They both accept an interval approach to probability based on inequalities and bounds versus ordinal, subjectivist Bayesian and relative frequency approaches. This led them to have very similar views with respect to analyzing speculative bubbles, lenders versus borrowers risk assessments, the dangers of speculative financeespecially if the bankers themselves are or become speculators and/or are financing speculators, and a policy of maintaining low, fixed rates of interest in order to control the speculative demand for money. Both Keynes and Smith showed how their very similar constructs led to the creation of a viable insurance industry that would be based on an inexact approach to probability. Bentham’s views on probability and decision making are directly opposed to those of Smith and Keynes. Bentham can be regarded as the founder of the subjectivist, Bayesian approach to decision making. The modern Subjective Expected Utility (SEU) approach can be traced back to Bentham’s original arguments about the ability of rational decision makers to calculate using precise numerical probabilities and outcomes. Bentham is the first, major proponent of the exact approach to probability and decision making. Smith and Keynes would reject the Kahneman-Tversky behavioral economist “Heuristics and Biases“ approach that regards mathematical probability as the normative criterion that all decision makers should attempt to emulate since this approach is a more advanced mathematical version of Bentham’s original approach. Mathematical probability, which requires the use of precise or sharp numerical probabilities, can only be normative in the case where the decision maker has a complete information set and/or knows for certain that a specific probability distribution will apply now and in the future. The mathematical laws of the probability calculus only hold as a limiting case whenever humans are part of the equation. Both Keynes and Smith rely on an inexact, interval, non additive, nonlinear approach that directly conflicts with the exact, single number, additive, linear approach recommended by Tversky and Kahneman as being the hallmark of human rationality in decision making. On the other hand, Bentham’s approach is an earlier version of the exact, linear and additive approach recommended as being rational by Tversky-Kahneman. Smith and Keynes, however, did emphasize fields that today are called Cognitive Science and Cognitive Psychology. Here pattern recognition, similarity, induction and intuition played an important role.
SSRN Electronic Journal, 2000
This paper assesses the rationale of George Shackle's argument against Bayesian decision making in the light of recent developments of modern decision theory. The focus is on the so-called non-additive probability approach to decision theory under uncertainty, which, not unlike Shackle's analysis, stresses the inability of agents to describe uncertain environments. A discussion of the pros and cons of the parallel between Shackle's theory and the non-additive developments is provided.
In the literature on his philosophical ideas the correspondence Keynes had with Hugh Townshend over the just-published General Theory has attracted significant attention. Excerpts from the exchange have been used as a relevant piece of evidence by scholars who claim that Keynes came to reject rational decision criteria, thus focusing on the necessity for economic agents to form expectations on market sentiment, rather than fundamentals. This note concentrates instead on the whole correspondence and tries to show that a comprehensive reading of the exchange between Keynes and Townshend, unfolding through the years 1936-1938, suggests that its discussion thread was more technical than usually understood. It is argued that the correspondence provides evidence for the fact that Keynes still had a keen interest in a problem left unsolved in the Treatise on Probability, namely, the definition of an alternative to what he termed «normal ethical theory» in the Treatise and identified with «strict mathematical calculation» in the General Theory. The correspondence reveals that the issue of whether a useful decision rule can be devised under uncertainty still appears central in Keynes’s thought in 1938.
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