AN INVESTIGATION INTO the FORMATION of CONSENSUS AROUND NEOCLASSICAL ECONOMICS in the 1950S
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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. -
When Does Behavioural Economics Really Matter?
When does behavioural economics really matter? Ian McAuley, University of Canberra and Centre for Policy Development (www.cpd.org.au) Paper to accompany presentation to Behavioural Economics stream at Australian Economic Forum, August 2010. Summary Behavioural economics integrates the formal study of psychology, including social psychology, into economics. Its empirical base helps policy makers in understanding how economic actors behave in response to incentives in market transactions and in response to policy interventions. This paper commences with a short description of how behavioural economics fits into the general discipline of economics. The next section outlines the development of behavioural economics, including its development from considerations of individual psychology into the fields of neurology, social psychology and anthropology. It covers developments in general terms; there are excellent and by now well-known detailed descriptions of the specific findings of behavioural economics. The final section examines seven contemporary public policy issues with suggestions on how behavioural economics may help develop sound policy. In some cases Australian policy advisers are already using the findings of behavioural economics to advantage. It matters most of the time In public policy there is nothing novel about behavioural economics, but for a long time it has tended to be ignored in formal texts. Like Molière’s Monsieur Jourdain who was surprised to find he had been speaking prose all his life, economists have long been guided by implicit knowledge of behavioural economics, particularly in macroeconomics. Keynes, for example, understood perfectly the “money illusion” – people’s tendency to think of money in nominal rather than real terms – in his solution to unemployment. -
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. -
Samuelson's Dictum and the Stock Market
SAMUELSON’S DICTUM AND THE STOCK MARKET BY JEEMAN JUNG and ROBERT J. SHILLER COWLES FOUNDATION PAPER NO. 1183 COWLES FOUNDATION FOR RESEARCH IN ECONOMICS YALE UNIVERSITY Box 208281 New Haven, Connecticut 06520-8281 2006 http://cowles.econ.yale.edu/ SAMUELSON’S DICTUM AND THE STOCK MARKET JEEMAN JUNG and ROBERT J. SHILLER* Samuelson has offered the dictum that the stock market is ‘‘micro efficient’’ but ‘‘macro inefficient.’’ That is, the efficient markets hypothesis works much better for individual stocks than it does for the aggregate stock market. In this article, we review a strand of evidence in recent literature that supports Samuelson’s dictum and present one simple test, based on a regression and a simple scatter diagram, that vividly illus- trates the truth in Samuelson’s dictum for the U.S. stock market data since 1926. (JEL G14) I. INTRODUCTION dividends or earnings or cash flows) of indi- vidual firms than there is about future changes Paul A. Samuelson has argued that one would expect that the efficient markets hy- in the fundamentals of the aggregate stock market. Individual firms’ activities are highly pothesis should work better for individual diverse: Some have breakthrough discoveries stocks than for the stock market as a whole: or important new patents; others are in declin- Modern markets show considerable micro ing industries or have fundamental structural efficiency (for the reason that the minority who spot aberrations from micro efficiency can make problems. Hence some firms at some times money from those occurrences and, in doing so, may be well known to the market to have they tend to wipe out any persistent inefficiencies). -
Restoring Rational Choice: the Challenge of Consumer Financial Regulation
NBER WORKING PAPER SERIES RESTORING RATIONAL CHOICE: THE CHALLENGE OF CONSUMER FINANCIAL REGULATION John Y. Campbell Working Paper 22025 http://www.nber.org/papers/w22025 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 February 2016 This paper is the Ely Lecture delivered at the annual meeting of the American Economic Association on January 3, 2016. I thank the Sloan Foundation for financial support, and my coauthors Steffen Andersen, Cristian Badarinza, Laurent Calvet, Howell Jackson, Brigitte Madrian, Kasper Meisner Nielsen, Tarun Ramadorai, Benjamin Ranish, Paolo Sodini, and Peter Tufano for joint work that I draw upon here. I also thank Cristian Badarinza for his work with international survey data on household balance sheets, Laurent Bach, Laurent Calvet, and Paolo Sodini for sharing their results on Swedish wealth inequality, Ben Ranish for his analysis of Indian equity data, Annamaria Lusardi for her assistance with financial literacy survey data, Steven Bass, Sean Collins, Emily Gallagher, and Sarah Holden of ICI and Jack VanDerhei of EBRI for their assistance with data on US retirement savings, Eduardo Davila and Paul Rothstein for correspondence and discussions about behavioral welfare economics, and Daniel Fang for able research assistance. I have learned a great deal from my service on the Academic Research Council of the Consumer Financial Protection Bureau, and from conversations with CFPB staff. Finally I gratefully acknowledge insightful comments from participants in the Sixth Miami Behavioral -
Existence of Equilibria in Quantum Bertrand-Edgeworth Duopoly Game
Existence of equilibria in quantum Bertrand–Edgeworth duopoly game Yohei Sekiguchi,1 Kiri Sakahara,1 Takashi Sato 1,2 1 Graduate School of Economics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 2 Faculty of Economics, Toyo University, 5-28-20 Hakusan, Bunkyo-ku, Tokyo, Japan March 2010 Abstract Both classical and quantum version of two models of price competition in duopoly market, the one is realistic and the other is idealized, are investigated. The pure strategy Nash equilibria of the realistic model exists under stricter condition than that of the idealized one in the classical form game. This is the problem known as Edgeworth paradox in economics. In the quantum form game, however, the former converges to the latter as the measure of entanglement goes to infinity. PACS numbers: 03.67.-a, 02.50.Le 1 Introduction Game theory is a powerful mathematical tool to analyze various natural and social phenomena [1–3]. After the publication of Meyer [4], there has been a great deal of effort to extend the classical game theory into the quantum domain, and it has been shown that quantum games may have significant advantages over their classical counterparts [4–6]. Nash equilibrium [7], a point where players cannot be better off by unilaterally changing their actions, is the most important solution concept in both the classical and the quantum game theory. However, existence of Nash equilibria is not always ensured, e.g., the penny flip game or the rock–scissors–paper game. Meyer [4] considered a quantum version of the penny flip game, and showed that quantum extensions may resolve nonexistence of Nash equilibria in classical games (see also [8–11]). -
The Institutionalist Reaction to Keynesian Economics
Journal of the History of Economic Thought, Volume 30, Number 1, March 2008 THE INSTITUTIONALIST REACTION TO KEYNESIAN ECONOMICS BY MALCOLM RUTHERFORD AND C. TYLER DESROCHES I. INTRODUCTION It is a common argument that one of the factors contributing to the decline of institutionalism as a movement within American economics was the arrival of Keynesian ideas and policies. In the past, this was frequently presented as a matter of Keynesian economics being ‘‘welcomed with open arms by a younger generation of American economists desperate to understand the Great Depression, an event which inherited wisdom was utterly unable to explain, and for which it was equally unable to prescribe a cure’’ (Laidler 1999, p. 211).1 As work by William Barber (1985) and David Laidler (1999) has made clear, there is something very wrong with this story. In the 1920s there was, as Laidler puts it, ‘‘a vigorous, diverse, and dis- tinctly American literature dealing with monetary economics and the business cycle,’’ a literature that had a central concern with the operation of the monetary system, gave great attention to the accelerator relationship, and contained ‘‘widespread faith in the stabilizing powers of counter-cyclical public-works expenditures’’ (Laidler 1999, pp. 211-12). Contributions by institutionalists such as Wesley C. Mitchell, J. M. Clark, and others were an important part of this literature. The experience of the Great Depression led some institutionalists to place a greater emphasis on expenditure policies. As early as 1933, Mordecai Ezekiel was estimating that about twelve million people out of the forty million previously employed in the University of Victoria and Erasmus University. -
Trends in Factor Shares: Facts and Implications
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Karabarbounis, Loukas; Neiman, Brent Article Trends in factor shares: Facts and implications NBER Reporter Provided in Cooperation with: National Bureau of Economic Research (NBER), Cambridge, Mass. Suggested Citation: Karabarbounis, Loukas; Neiman, Brent (2017) : Trends in factor shares: Facts and implications, NBER Reporter, National Bureau of Economic Research (NBER), Cambridge, MA, Iss. 4, pp. 19-22 This Version is available at: http://hdl.handle.net/10419/178760 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. www.econstor.eu systematically benefit firstborns and help 2 S. Black, P. Devereux, and K. Adolescent Behavior,” Economic Inquiry, Trends in Factor Shares: Facts and Implications explain their generally better outcomes. -
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. -
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]. -
David Laibson RAND Summer 2006
David Laibson RAND Summer 2006 All readings are recommended. Starred readings will be particularly useful complements for the lecture. George Akerlof "Procastination and Obedience," The Richard T. Ely Lecture, American Economic Review, Papers and Proceedings, May 1991. *George-Marios Angeletos, David Laibson, Andrea Repetto, Jeremy Tobacman and Stephen Weinberg,“The Hyperbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation ” Journal of Economic Perspectives, August 2001, pp. 47-68. Shlomo Benartzi and Richard H. Thaler "How Much Is Investor Autonomy Worth?" Journal of Finance, 2002, 57(4), pp. 1593-616. Camerer, Colin F., George Loewenstein and Drazen Prelec. Mar. 2005. "Neuroeconomics: How neuroscience can inform economics." Journal of Economic Literature. Vol. 34, No. 1. Colin Camerer, Samuel Issacharoff, George Loewenstein, Ted O'Donoghue, and Matthew Rabin. Jan 2003. "Regulation for Conservatives: Behavioral Economics and the Case for 'Assymetric Paternalism.'" University of Pennsylvania Law Review. 151, 1211- 1254. *James Choi, David Laibson, and Brigitte Madrian. $100 Bills on the Sidewalk: Suboptimal Saving in 401(k) Plans July 16, 2005. *James Choi, Brigitte Madrian, David Laibson, and Andrew Metrick. Optimal Defaults and Active Decisions December 3, 2004. James Choi, David Laibson, and Brigitte C. Madrian “Are Education and Empowerment Enough? Under-Diversification in 401(k) Plans” forthcoming, Brookings Papers on Economic Activity. *James Choi, David Laibson, Brigitte Madrian, and Andrew Metrick “Optimal Defaults” American Economic Review Papers and Proceedings, May 2003, pp. 180-185. Dominique J.-F. de Quervain, Urs Fischbacher, Valerie Treyer, Melanie Schellhammer, Ulrich Schnyder, Alfred Buck, Ernst Fehr. The Neural Basis of Altruistic Punishment Science 305, 27 August 2004, 1254-1258 Shane Frederick, George Loewenstein, and O'Donoghue, T. -
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.