Power, Organization, Markets, Money and the Allocation of Resources

Total Page:16

File Type:pdf, Size:1020Kb

Power, Organization, Markets, Money and the Allocation of Resources Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Cowles Foundation Discussion Papers Cowles Foundation 1-1-2018 Who Gets What, When, How? Power, Organization, Markets, Money and the Allocation of Resources Martin Shubik Follow this and additional works at: https://elischolar.library.yale.edu/cowles-discussion-paper-series Part of the Economics Commons Recommended Citation Shubik, Martin, "Who Gets What, When, How? Power, Organization, Markets, Money and the Allocation of Resources" (2018). Cowles Foundation Discussion Papers. 158. https://elischolar.library.yale.edu/cowles-discussion-paper-series/158 This Discussion Paper is brought to you for free and open access by the Cowles Foundation at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Cowles Foundation Discussion Papers by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. WHO GETS WHAT, WHEN, HOW? POWER, ORGANIZATION, MARKETS, MONEY AND THE ALLOCATION OF RESOURCES By Martin Shubik January 2018 COWLES FOUNDATION DISCUSSION PAPER NO. 2118 COWLES FOUNDATION FOR RESEARCH IN ECONOMICS YALE UNIVERSITY Box 208281 New Haven, Connecticut 06520-8281 http://cowles.yale.edu/ WHO GETS WHAT, WHEN, HOW? Power, Organization, Markets, Money and the Allocation of Resources Martin Shubik © Copyright Martin Shubik, 2015 1 Contents Preface Acknowledgments 1 The Emergence of Civilization with Money and Financial Institutions 2 Ownership and the Allocation of Wealth 3 Custom, Law, Markets and Measurement 4 A Preliminary to Understanding Markets and Competition 5 Markets and Minimal Financial Institutions 6 Process and Formal Mathematical Institutional Economics 7 Time and Institutions 8 Uncertainty and Chance 9 Innovation and Ecology 10 Alice in Wonderland and Mathematical Institutional Economics 11 The Summing Up: Economics the Next Hard Science? 12 Political Economy and the Future? A Brave New World? 13 Political Economy, the Future Dystopias, and Space? A Preferences and Utility B The Basic Game Theory Concept of Use Here B.1 Details, Strategies, and Diplomacy B.2 Zero-sum or Nonzero Sum? B.3 Solutions Bibliography Preface Money is a mystery and financial institutions are often regarded as guardians and promoters of the mystery. These sketches are designed to help an individual interested in, but not technically trained in economics, understand markets, money, credit and the evolution of a mass market 2 system embedded in the rich context of its political environment and society. The efficient functioning of a dynamic economy requires the presence of money and financial institutions. The great variety of financial institutions in any advanced economy requires that a synthetic approach is used to understand what the whole looks like. Verbal description provides an overarching view of the mixture of history, law, philosophy, social mores, and political structure that supplies the context for the functioning of the economy. This has been vividly illustrated by Adam Smith, his teacher the Reverend Francis Hutcheson and his close friend David Hume. There are two different but highly allied themes in this single slim volume. Chapters 1, 2, and 3 supply the rich context of history, society, polity and law in which every economy is embedded. Chapters 12 and 13 sketch what might lie ahead given the current state of the world. These chapters require no symbols or technical depth. In contrast Chapters 4 to 11 offers a reasonably nontechnical exposition of some of the considerable development in formal economic theory pertaining to money and financial institutions as economics struggles towards emerging as a science, balancing quantitative measures with qualifications that help to explain what the numbers mean. 3 Acknowledgments I am indebted to many colleagues over a span of 65 years. I thank all, but rather than add a small address book. I let them be mercifully anonymous so that they can avoid all blame for the contents. 4 Chapter 1 The Emergence of Civilization with Money and Financial Institutions Presented here is the sketch of a basis for understanding economic dynamics and the means for social, legal and political guidance of an economy. It can be shown that markets and money are emergent phenomena. They will come into existence regardless of the political structure. However not all goods and services are amenable to distribution by markets. Many public goods and bads exist and a society must devise methods to deal with them. Markets depend on measurement. It is relatively easy to quantify apples for the market; but even there the listing of the number of types, the freshness, the size and quality of the apples pose problems in specifying weights and measures. In contrast the measures of many varieties of pollution such as smog, or noise are far harder to quantify. Even harder and closer to the domain of basic philosophical dispute are items such as the modern versions of Blood Money or payments made to compensate for injury or death. At least since the British utilitarian philosopher Jeremy Bentham there has been an emphasis in economics to introduce the measurement of pleasure and pain. The virtues of measurement have been seen in every science; but it is important to consider that measurement may easily be prematurely imposed on phenomena that are not, given our current state of knowledge, susceptible to the precise quantification required. Many of us in the United States become poll junkies. We have to be fed our daily numbers, be they the poll-of-polls showing Politician A is ahead by 6% over Politician B; or according to the latest World Great Restaurant Poll the world’s greatest restaurant is a little known gem in Bariloche; furthermore recent popular residence polls show that taking all factors into account the best city in the United States for year round living is Terre Haut, Indiana, leading the runner up, Fresno, California, by 23.52%. In a sober mood most of us know that many of these numbers are salesman hype combined with specious accuracy to give them extra authority. We know that popular saviors lie and that hucksters exaggerate; but in getting our daily fix we want to know what the numbers are, not how they were generated and what this means. It is quicker, easier and more fun to supply our beliefs as to what they mean rather than bore ourselves by reading footnotes, or even worse, having to look up documents with technical descriptions. Life is too short to do so. In the United States economy there has been a tendency to try to monetize virtually everything. Oscar Wilde aptly described one of his characters as “a man who knows the price of everything and the value of nothing.” This quip distinguishes between the process of valuation and the outcome of many valuations which may form price. As a good approximation, in every-day life the prices formed in a market for eggs or canned beans do a pretty good job in connecting price and valuation. In evaluating worth of health, cultural heritage, criminal justice, defense, the citizens’ army and many other features of life in a complex society, market price may not exist. The stress in these sketches falls heavily on those parts of the economy where, measurement, 5 market and money all play a critical role. These parts are large enough and sufficiently important to merit understanding as a separate topic from other means to distribute resources; but this must be done with appreciation of the broader context of the society and a feeling for both the qualitative and quantitative aspects of resource allocation. As my aim is to provide an overview moving between the qualitative and the quantitative I provide, on occasion, crude figures or “guesstimates” to sweeten the intuition, as well as direct figures from specified sources. Accuracy is a function of purpose. The precision called for in trying to indicate that there has been a rise in crime in Chicago differs from the precision needed to land a machine on Mars. The approach adopted here calls for getting a rough feeling for some magnitudes that are virtually impossible to obtain quantitatively without a lifetime of statistical and econometric research. Carefully defined data on items such as the world revenue from bribery and extortion do not exist beyond estimates based on a shaky classification. One way in which measurement emerges in a society is that a popular writer, a politician or a special issue partisan promotes and publishes a “guesstimae” based on little more than assertion; this is denied by opponents who cook up guesstimates going in the other direction. If battle is joined partisans call for pundits, pollsters, lawyers, social scientists and other experts and new measures emerge. A goal is to make this book as non-technical as possible consistent with avoiding the dangers of oversimplification of complicated phenomena. In order to do so an understanding of some of the basic concepts of game theory and gaming are helpful. These are presented along with some notes on measurement in appendices. For those who like previews I have presented a preliminary sketch of all following chapters, but for those who prefer to go to the first course without studying the full menu an immediate skip to Chapter 2, should work. Chapter 2 on Ownership and the Allocation of Wealth is an essay unto itself sketching the emergence of a complex human society from the very beginnings. It deals with the basic problem of all life, the acquisition of all resources by every means. The title of this book is a paraphrasing of the distinguished Political Scientist Harold Lasswell’s definition of politics as “Politics is the study of who gets what, when, how.” But it is suggested here that this applies to a far larger stage than politics alone.
Recommended publications
  • F:\RSS\Me\Society's Mathemarica
    School of Social Sciences Economics Division University of Southampton Southampton SO17 1BJ, UK Discussion Papers in Economics and Econometrics Mathematics in the Statistical Society 1883-1933 John Aldrich No. 0919 This paper is available on our website http://www.southampton.ac.uk/socsci/economics/research/papers ISSN 0966-4246 Mathematics in the Statistical Society 1883-1933* John Aldrich Economics Division School of Social Sciences University of Southampton Southampton SO17 1BJ UK e-mail: [email protected] Abstract This paper considers the place of mathematical methods based on probability in the work of the London (later Royal) Statistical Society in the half-century 1883-1933. The end-points are chosen because mathematical work started to appear regularly in 1883 and 1933 saw the formation of the Industrial and Agricultural Research Section– to promote these particular applications was to encourage mathematical methods. In the period three movements are distinguished, associated with major figures in the history of mathematical statistics–F. Y. Edgeworth, Karl Pearson and R. A. Fisher. The first two movements were based on the conviction that the use of mathematical methods could transform the way the Society did its traditional work in economic/social statistics while the third movement was associated with an enlargement in the scope of statistics. The study tries to synthesise research based on the Society’s archives with research on the wider history of statistics. Key names : Arthur Bowley, F. Y. Edgeworth, R. A. Fisher, Egon Pearson, Karl Pearson, Ernest Snow, John Wishart, G. Udny Yule. Keywords : History of Statistics, Royal Statistical Society, mathematical methods.
    [Show full text]
  • MODES for Windows Print
    Marshall Library of Economics Marshall Papers Section 9 Autobiography and personal honours Identity code Marshall 9 Description level 3 Content Summary This diverse section contains the few remaining biographical notes by Alfred, longer notes on Alfred by Mary Marshall, lists of recipients of complimentary copies of Marshall's books and subscribers to his portrait fund, his academic honours, a large scrapbook of newspaper cuttings about Alfred's career kept by Mary and her album of watercolour paintings of places visited on European travels Identity code Marshall 9/1 Previous number Marshall LBB 34 (part) [uncertain attribution] Description level 4 Record creation Person Role writer Name Marshall, Alfred Date undated Document form Record type notes Specific type autobiographical Acquisition Summary Possibly a late accession as formerly in Large Brown Box Content Summary Single page annotated 'Reminiscences' down left side by Marshall. Recounts how when at school was told not to take account of accents in pronouncing Greek words and therefore decided to save time by not learning them or using them in written work. The result was he received the only very heavy punishment of his life. 'This suggested to me that classical studies do not induce an appreciation of the value of time; and I turned away from them as far as I could towards mathematics'. Summary In later years he has observed that fine students of science are greedy of time, whereas many classical men value it lightly. Is most grateful to his headmaster [Revd James Augustus Hessey] for making him think out essays in Latin. Person Name Hessey, James Augustus, Revd Subject keywords Physical descript Summary 1 p.
    [Show full text]
  • Chapter 1: What Is Statistics? Christopher J
    Chapter 1: What is Statistics? Christopher J. Wild, Jessica M. Utts, and Nicholas J. Horton Christopher J. Wild University of Auckland, New Zealand President, American Statistical Association Jessica M. Utts University of California, Irvine, United States Chair, Statistical Education Section, ASA Nicholas J. Horton Amherst College, United States e-mail: [email protected], [email protected], [email protected] Abstract What is Statistics? We attempt to answer this question as it relates to grounding research in statistics education. We discuss the nature of statistics (the science of learning from data), its history and traditions, what characterises statistical thinking and how it differs from mathematics, connections with computing and data science, why learning statistics is essential, and what is most important. Finally, we attempt to gaze into the future, drawing upon what is known about the fast-growing demand for statistical skills and the portents of where the discipline is heading, especially those arising from data science and the promises and problems of big data. Key Words Discipline of statistics; Statistical thinking; Value of statistics; Statistical fundamentals; Decision making; Trends in statistical practice; Data science; Computational thinking 1.1 Introduction In this, the opening chapter of the International Handbook of Research in Statistics Education, we ask the question, “What is statistics?” This question is not considered in isolation, however, but in the context of grounding research in statistics education. Educational endeavour in statistics can be divided very broadly into “What?” and “How?” The “What?” deals with the nature and extent of the discipline to be conveyed, whereas any consideration of “How?” (including “When?”) brings into play a host of additional factors, such as cognition and learning theories, audience and readiness, attitudes, social interactions with teachers and other students, and learning and assessment strategies and systems.
    [Show full text]
  • A Complete Bibliography of Publications in Biometrika for the Decade 1960–1969
    A Complete Bibliography of Publications in Biometrika for the decade 1960{1969 Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 19 May 2021 Version 1.02 Title word cross-reference #4315 [Har79]. 0 · 1 [dVW66]. 2 × 2 [BH60a, BH61a, OI61a, OI61b, Pla64]. 50 [Bar66d]. k [Bur60b]. A [Hol66, Mar63]. A + B [Mar63]. b2 [Pea65b]. β [Mos62]. β2 [JNAP63, JNAP65]. χ [JP69, JP70]. χ2 2 [Hit62, MA65, Put64, Tik65b, Wis63a, Wis63b, You62]. χr [Sen67]. d [dVW66]. Ek=M=1 [Bur60c]. [RK69a]. exp(−a)+ka = 1 [BDM60]. exp(b) − b=(1 − p) = 1 [BDM63]. F [Ati62, BDO60, CB63, CB66, GS62b, PB61, Pri64a, SZ60, Tik65b, Tik66]. GI=G=1 [Kin62]. GI=M=1 [Fin60a]. k [DG68a, Kor69, Maa66]. M [Har69a, Pea69, Cro61, Lin60]. M=M=1 [GS65]. X2 [Wis63a, Wis63b]. N [Gil65, Hai65b, ST66, Arc62, Arc64, Hof63]. p [Rao68b, Rao69]. Q [Gow66a]. 3 2 2 R [Mil65a]. ρ [Sno63]. S [Bur60a, Bar66d].p s = 1 [Bar66d].p smax=s0 2 2 [Cha67a]. SU [Joh65b]. σB/σ [Sis68]. b1 [Pea65b]. β1 [JNAP63]. 1 2 P m p 0 f(Yt) [Con65]. β1 [JNAP65]. t [Amo64, FKM67, GJ68, Haj61, HPW61, Joh61, MSA66, Owe65, SA62a, Sis64]. 2 2 2 2 T0 [IS64]. U [Maa66]. UM;N [Ste65b]. UN [PS62b, Ste63a, Ste64, Tik65a]. (s) 2 2 V1 [Bar66d]. VN [Ste65a].
    [Show full text]
  • 1 the MAKING of INDEX NUMBERS in the EARLY 1920S
    THE MAKING OF INDEX NUMBERS IN THE EARLY 1920s: A CLOSER LOOK AT THE FISHER–MITCHELL DEBATE Felipe Almeida Victor Cruz e Silva Universidade Federal do Paraná Universidade Estadual de Ponta Grossa Área 1 - História do Pensamento Econômico e Metodologia RESUMO O surgimento sistemático da abordagem axiomática dos números de índice ocorreu no início dos anos 1920, um período marcado pelo pluralismo na academia econômic estadunidense. Promovida por Irving Fisher, a abordagem axiomática dos números de índice teve como objetivo selecionar uma fórmula ideal universalmente válida para números de índice, empregando uma série de testes estatísticos. No entanto, desde a primeira apresentação da abordagem de Fisher, no Encontro Anual da Associação Estadunidense de Estatística em 1920, até a publicação de seu livro “The Making of Index Numbers” em 1922, Fisher enfrentou uma série de críticas, não endereçadas à sua fórmula ideal propriamente dita, mas à própria idéia de uma fórmula universal para números de índice. Os principais indivíduos envolvidos nesse debate foram Wesley Mitchell, Warren Persons, Correa Walsh (que foi o único que apoiou a proposta de Fisher) e Allyn Young. Entre eles, o principal representante dos antagonistas de Fisher era Mitchell. Este estudo argumenta que as divergências entre Fisher e Mitchell resultam de seus distintos entendimentos da economia como uma "ciência". Portanto, o objetivo deste estudo é ilustrar como Fisher, como economista matemático, privilegiou a universalidade das teorias econômicas, enquanto Mitchell, como institucionalista, entendeu a economia como uma disciplina contextual e histórica e como essas preconcepções estão presentes no debate sobre números de índice. Para ilustrar suas posições, este estudo explora evidências baseadas em arquivo.
    [Show full text]
  • AN INVESTIGATION INTO the FORMATION of CONSENSUS AROUND NEOCLASSICAL ECONOMICS in the 1950S
    THE ECLIPSE OF INSTITUTIONALISM? AN INVESTIGATION INTO THE FORMATION OF CONSENSUS AROUND NEOCLASSICAL ECONOMICS IN THE 1950s A Dissertation Submitted to the Temple University Graduate Board In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy By Julie Ragatz May, 2019 Committee Members: Dr. Miriam Solomon, Department of Philosophy Dr. David Wolfsdorf, Department of Philosophy Dr. Dimitrios Diamantaras, Department of Economics Dr. Matthew Lund, Department of Philosophy, Rowan University, External Reader © Copyright 2019 by Julie Ragatz Norton All Rights Reserved ii ABSTRACT The Eclipse of Institutionalism? An Investigation into the Formation of Consensus Around Neoclassical Economics in the 1950s Julie Ragatz Norton Temple University, 2019 Doctoral Advisory Committee Chair: Dr. Miriam Solomon As the discipline of economics professionalized during the interwar period, two schools of thought emerged: institutionalism and neoclassical economics. By 1954, after the publication of Arrow and Debreu’s landmark article on general equilibrium theory, consensus formed around neoclassical economics. This outcome was significantly influenced by trends in the philosophy of science, notably the transformation from the logical empiricism of the Vienna Circle to an ‘Americanized’ version of logical empiricism that was dominant through the 1950s. This version of logical empiricism provided a powerful ally to neoclassical economics by affirming its philosophical and methodological commitments as examples of “good science”. This dissertation explores this process of consensus formation by considering whether consensus would be judged normatively appropriate from the perspective of three distinct approaches to the philosophy of science; Carl Hempel’s logical empiricism, Thomas Kuhn’s account of theory change and Helen Longino’s critical contextual empiricism.
    [Show full text]
  • Francis Ysidro Edgeworth
    Francis Ysidro Edgeworth Previous (Francis Xavier) (/entry/Francis_Xavier) Next (Francis of Assisi) (/entry/Francis_of_Assisi) Francis Ysidro Edgeworth (February 8, 1845 – February 13, 1926) was an Irish (/entry/Ireland) polymath, a highly influential figure in the development of neo­ classical economics, and contributor to the development of statistical theory. He was the first to apply certain formal mathematical techniques to individual decision making in economics. Edgeworth developed utility theory, introducing the indifference curve and the famous "Edgeworth box," which have become standards in economic theory. He is also known for the "Edgeworth conjecture" which states that the core of an economy shrinks to the set of competitive equilibria as the number of agents in the economy gets large. The high degree of originality demonstrated in his most important book on economics, Mathematical Psychics, was matched only by the difficulty in reading it. A deep thinker, his contributions were far ahead of his time and continue to inform the fields of (/entry/File:Edgeworth.jpeg) microeconomics (/entry/Microeconomics) and areas such as welfare economics. Francis Y. Edgeworth Thus, Edgeworth's work has advanced our understanding of economic relationships among traders, and thus contributes to the establishment of a better society for all. Life Contents Ysidro Francis Edgeworth (the order of his given names was later reversed) 1 Life was born on February 8, 1845 in Edgeworthstown, Ireland (/entry/Ireland), into 2 Work a large and wealthy landowning family. His aunt was the famous novelist Maria 2.1 Edgeworth conjecture Edgeworth, who wrote the Castle Rackrent. He was educated by private tutors 2.2 Edgeworth Box until 1862, when he went on to study classics and languages at Trinity College, 2.3 Edgeworth limit theorem Dublin.
    [Show full text]
  • INFORMATION to USERS the Most Advanced Technology Has Been Used to Photo­ Graph and Reproduce This Manuscript from the Microfilm Master
    INFORMATION TO USERS The most advanced technology has been used to photo­ graph and reproduce this manuscript from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are re­ produced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book. These are also available as one exposure on a standard 35mm slide or as a 17" x 23" black and white photographic print for an additional charge. Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. UMI University Microfilms International A Bell & Howell Information Company 3 00 Nortfi Z eeb Road, Ann Arbor, Ml 48106-1346 USA 313/761-4700 800/521-0600 Order Number 9011133 Sudden leaps: The young Alfred Marshall Butler, Robert William, Ph.D.
    [Show full text]
  • School of Social Sciences Economics Division University of Southampton Southampton SO17 1BJ, UK
    School of Social Sciences Economics Division University of Southampton Southampton SO17 1BJ, UK Discussion Papers in Economics and Econometrics Professor A L Bowley’s Theory of the Representative Method John Aldrich No. 0801 This paper is available on our website http://www.socsci.soton.ac.uk/economics/Research/Discussion_Papers ISSN 0966-4246 Key names: Arthur L. Bowley, F. Y. Edgeworth, , R. A. Fisher, Adolph Jensen, J. M. Keynes, Jerzy Neyman, Karl Pearson, G. U. Yule. Keywords: History of Statistics, Sampling theory, Bayesian inference. Professor A. L. Bowley’s Theory of the Representative Method * John Aldrich Economics Division School of Social Sciences University of Southampton Southampton SO17 1BJ UK e-mail: [email protected] Abstract Arthur. L. Bowley (1869-1957) first advocated the use of surveys–the “representative method”–in 1906 and started to conduct surveys of economic and social conditions in 1912. Bowley’s 1926 memorandum for the International Statistical Institute on the “Measurement of the precision attained in sampling” was the first large-scale theoretical treatment of sample surveys as he conducted them. This paper examines Bowley’s arguments in the context of the statistical inference theory of the time. The great influence on Bowley’s conception of statistical inference was F. Y. Edgeworth but by 1926 R. A. Fisher was on the scene and was attacking Bayesian methods and promoting a replacement of his own. Bowley defended his Bayesian method against Fisher and against Jerzy Neyman when the latter put forward his concept of a confidence interval and applied it to the representative method. * Based on a talk given at the Sample Surveys and Bayesian Statistics Conference, Southampton, August 2008.
    [Show full text]
  • The Enigma of Karl Pearson and Bayesian Inference
    The Enigma of Karl Pearson and Bayesian Inference John Aldrich 1 Introduction “An enigmatic position in the history of the theory of probability is occupied by Karl Pearson” wrote Harold Jeffreys (1939, p. 313). The enigma was that Pearson based his philosophy of science on Bayesian principles but violated them when he used the method of moments and probability-values in statistics. It is not uncommon to see a divorce of practice from principles but Pearson also used Bayesian methods in some of his statistical work. The more one looks at his writings the more puzzling they seem. In 1939 Jeffreys was probably alone in regretting that Pearson had not been a bottom to top Bayesian. Bayesian methods had been in retreat in English statistics since Fisher began attacking them in the 1920s and only Jeffreys ever looked for a synthesis of logic, statistical methods and everything in between. In the 1890s, when Pearson started, everything was looser: statisticians used inverse arguments based on Bayesian principles and direct arguments based on sampling theory and a philosopher-physicist-statistician did not have to tie everything together. Pearson did less than his early guide Edgeworth or his students Yule and Gosset (Student) to tie up inverse and direct arguments and I will be look- ing to their work for clues to his position and for points of comparison. Of Pearson’s first course on the theory of statistics Yule (1938, p. 199) wrote, “A straightforward, organized, logically developed course could hardly then [in 1894] exist when the very elements of the subject were being developed.” But Pearson never produced such a course or published an exposition as integrated as Yule’s Introduction, not to mention the nonpareil Probability of Jeffreys.
    [Show full text]
  • Francis Ysidro Edgeworth (1889) "The Mathematical Theory of Political Economy: Review of Léon Walras, Éléments D'économie Politique Pure", Nature, Vol
    Francis Ysidro Edgeworth (1889) "The Mathematical Theory of Political Economy: Review of Léon Walras, Éléments d'économie politique pure", Nature, Vol. 40, September 5, p.434-6. [Note on electronic version: Page and column numbers in bold square brackets, e.g. [p.434, Col. 2], denote the beginning of the respective page and/or column in the original 1889 Nature version. All errors are left intact. Both this Nature article and a related address by Edgeworth to the British Association for the Advancement which was jointly published in Nature, 12 Sept., 1889, p.496-509 and in the Journal of the Statistical Society of London, Dec. 1889 and reprinted in his Papers Relating to Political Economy (1925, Vol. 2, Sec. VI , Essay α), were severely criticized by Ladislaus von Bortkiewicz (1890, Revue d'économie politique). This, in turn, led to a rejoinder by Edgeworth (1891, Revue d'économie politique) expanding on the themes laid out here. As far as we know, this essay is in the public domain. You are free to make use of this electronic version in any way you wish, except for commercial purposes, without asking permission. All comments and corrections of this text are encouraged and can be addressed to [email protected]. The Editors, History of Economic Thought Website, http://cepa.newschool.edu/het/] ________________________________________________________ [p.434, Col. 2] THE MATHEMATICAL THEORY OF POLITICAL ECONOMY Éléments d'Économie Politique Pure. Par Léon Walras (Lausanne: F. Rouge, 1889) The appearance of a new and enlarged edition affords us a wished-for opportunity of calling attention to this original work.
    [Show full text]
  • F107 Edited.Pdf
    ST/ESA/STAT/SER.F/107 Department of Economic and Social Affairs Statistics Division Statistical Papers Series F No. 107 International Recommendations for the Index of Industrial Production 2010 United Nations • New York, 2013 The Department of Economic and Social Affairs of the United Nations Secretariat is a vital interface between global policies in the economic, social and environmental spheres and national action. The Department works in three main interlinked areas: (i) it compiles, generates and analyses a wide range of economic, social and environmental data and information on which States Members of the United Nations draw to review common problems and to take stock of policy options; (ii) it facilitates the negotiations of Member States in many intergovernmental bodies on joint courses of action to address ongoing or emerging global challenges; and (iii) it advises interested Governments on the ways and means of translating policy frameworks developed in United Nations conferences and summits into programmes at the country level and, through technical assistance, helps build national capacities. Note Symbols of United Nations documents are composed of letters combined with figures. Mention of such a symbol indicates a reference to a United Nations document. ST/ESA/STAT/SER.F/107 United Nations Publication Sales No. E.10.XVII.16 ISBN 978-92-1-161532-6 eISBN 978-92-1-055341-4 Enquiries should be directed to: Sales Section Publishing Division United Nations New York, NY 10017 Copyright © United Nations 2010 All rights reserved Preface Comparison of economic performance over time is a key factor in economic analysis and a fundamental requirement for policymaking.
    [Show full text]