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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. -
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. -
Statistics Making an Impact
John Pullinger J. R. Statist. Soc. A (2013) 176, Part 4, pp. 819–839 Statistics making an impact John Pullinger House of Commons Library, London, UK [The address of the President, delivered to The Royal Statistical Society on Wednesday, June 26th, 2013] Summary. Statistics provides a special kind of understanding that enables well-informed deci- sions. As citizens and consumers we are faced with an array of choices. Statistics can help us to choose well. Our statistical brains need to be nurtured: we can all learn and practise some simple rules of statistical thinking. To understand how statistics can play a bigger part in our lives today we can draw inspiration from the founders of the Royal Statistical Society. Although in today’s world the information landscape is confused, there is an opportunity for statistics that is there to be seized.This calls for us to celebrate the discipline of statistics, to show confidence in our profession, to use statistics in the public interest and to champion statistical education. The Royal Statistical Society has a vital role to play. Keywords: Chartered Statistician; Citizenship; Economic growth; Evidence; ‘getstats’; Justice; Open data; Public good; The state; Wise choices 1. Introduction Dictionaries trace the source of the word statistics from the Latin ‘status’, the state, to the Italian ‘statista’, one skilled in statecraft, and on to the German ‘Statistik’, the science dealing with data about the condition of a state or community. The Oxford English Dictionary brings ‘statistics’ into English in 1787. Florence Nightingale held that ‘the thoughts and purpose of the Deity are only to be discovered by the statistical study of natural phenomena:::the application of the results of such study [is] the religious duty of man’ (Pearson, 1924). -
The Scientific Rationality of Early Statistics, 1833–1877
The Scientific Rationality of Early Statistics, 1833–1877 Yasuhiro Okazawa St Catharine’s College This dissertation is submitted for the degree of Doctor of Philosophy. November 2018 Declaration Declaration This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except as declared in the Preface and specified in the text. It is not substantially the same as any that I have submitted, or, is being concurrently submitted for a degree or diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the Preface and specified in the text. I further state that no substantial part of my dissertation has already been submitted, or, is being concurrently submitted for any such degree, diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the Preface and specified in the text It does not exceed the prescribed word limit of 80,000 words for the Degree Committee of the Faculty of History. Yasuhiro Okazawa 13 November 2018 i Thesis Summary The Scientific Rationality of Early Statistics, 1833–1877 Yasuhiro Okazawa Summary This thesis examines the activities of the Statistical Society of London (SSL) and its contribution to early statistics—conceived as the science of humans in society—in Britain. The SSL as a collective entity played a crucial role in the formation of early statistics, as statisticians envisaged early statistics as a collaborative scientific project and prompted large-scale observation, which required cooperation among numerous statistical observers. -
Economists' Papers 1750-2000
ECONOMISTS’PAPERS 1750 - 2000 A Guide to Archive and other Manuscript Sources for the History of British and Irish Economic Thought. ELECTRONIC EDITION ….the ideas of economists and political philosophers, both when they are right and when they are wrong, are more powerful than is commonly understood. Indeed the“ world is ruled by little else. “Practical men, who believe themselves to be quite exempt from any intellectual influences, are usually the slaves of some defunct economist.’ John Maynard Keynes’s General Theory of Employment, Interest and Money (1936) ECONOMISTS’ PAPERS 1750-2000 THE COMMITTEE OF THE GUIDE TO ARCHIVE SOURCES IN THE HISTORY OF ECONOMIC THOUGHT IN 1975 R.D. COLLISON BLACK Professor of Economics The Queen’s University of Belfast A.W. COATS Professor of Economic and Social History University of Nottingham B.A. CORRY Professor of Economics Queen Mary College, London (now deceased) R.H. ELLIS formerly Secretary of the Royal Commission on Historical Manuscripts LORD ROBBINS formerly Professor of Economics University of London (now deceased) D.N. WINCH Professor of Economics University of Sussex ECONOMISTS' PAPERS 1750-2000 A Guide to Archive and other Manuscript Sources for the History of British and Irish Economic Thought Originally compiled by R. P. STURGES for the Committee of the Guide to Archive Sources in the History of Economic Thought, and now revised and expanded by SUSAN K. HOWSON, DONALD E. MOGGRIDGE, AND DONALD WINCH with the assistance of AZHAR HUSSAIN and the support of the ROYAL ECONOMIC SOCIETY © Royal Economic Society 1975 All rights reserved. No part of this publication may be reproduced or transmitted, in any form or by any means, without permission. -
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. -
A.C. Pigou and the 'Marshallian' Thought Style
A.C. PIGOU AND THE ‘MARSHALLIAN’ THOUGHT STYLE A STUDY IN THE PHILOSOPHY AND MATHEMATICS UNDERLYING CAMBRIDGE ECONOMICS Karen Lovejoy Knight PALGRAVE STUDIES IN THE HISTORY OF ECONOMIC THOUGHT Palgrave Studies in the History of Economic Thought Series Editors Avi J. Cohen Department of Economics York University and University of Toronto Toronto, ON, Canada G.C. Harcourt School of Economics University of New South Wales Sydney, NSW, Australia Peter Kriesler School of Economics University of New South Wales Sydney, NSW, Australia Jan Toporowski Economics Department SOAS, University of London London, UK Palgrave Studies in the History of Economic Thought publishes contri- butions by leading scholars, illuminating key events, theories and indi- viduals that have had a lasting impact on the development of modern-day economics. The topics covered include the development of economies, institutions and theories. More information about this series at http://www.palgrave.com/gp/series/14585 Karen Lovejoy Knight A.C. Pigou and the ‘Marshallian’ Thought Style A Study in the Philosophy and Mathematics Underlying Cambridge Economics Karen Lovejoy Knight Independent Scholar Duncraig, WA, Australia Palgrave Studies in the History of Economic Thought ISBN 978-3-030-01017-1 ISBN 978-3-030-01018-8 (eBook) https://doi.org/10.1007/978-3-030-01018-8 Library of Congress Control Number: 2018959362 © The Editor(s) (if applicable) and The Author(s) 2018 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and trans- mission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. -
The Microeconometrics of Household Behaviour
London School of Economics and Political Science Department of Economic History Doctoral thesis The Microeconometrics of Household Behaviour: Building the Foundations, 1920-1960 Chung-Tang Cheng A thesis submitted to the Department of Economic History, of the London School of Economics and Political Science, for the degree of Doctor of Philosophy May 2021 Declaration I certify that the thesis I have presented for examination for the PhD degree of the London School of Economics and Political Science is solely my own work other than where I have clearly indicated that it is the work of others (in which case the extent of any work carried out jointly by me and any other person is clearly identified in it). The copyright of this thesis rests with the author. Quotation from it is permitted, provided that full acknowledgement is made. This thesis may not be reproduced without my prior written consent. I warrant that this authorisation does not, to the best of my belief, infringe the rights of any third party. I can confirm that a version of Chapter IV is published in History of Political Economy (Cheng 2020). I can also confirm that this thesis was copy edited for conventions of language, spelling and grammar by Scribbr B.V. I declare that my thesis consists of 62,297 words excluding bibliography. 2 Abstract This thesis explores the early history of microeconometrics of household behaviour from the interwar period to the 1960s. The analytical framework relies on a model of empirical knowledge production that captures the scientific progress in terms of its materialistic supplies and intellectual demands. -
A Review Essay of the Palgrave Companion to LSE Economics, Robert Cord (Editor), London, Palgrave Macmillan, 2018, 958 Pp
Who’s Who and What’s What at the LSE, Then and Now? A Review Essay of The Palgrave Companion to LSE Economics, Robert Cord (editor), London, Palgrave Macmillan, 2018, 958 pp. By Richard G. Lipsey Emeritus Professor of Economics Simon Fraser University [email protected] 1 ABSTRACT This valuable discussion of LSE economics runs from the School’s inception in 1895 to the present. I review the whole, including where relevant, observations and criticisms based on personal knowledge from the my time as a graduate student, then a staff member of the LSE, from 1953 to 1963. Part I contains excellent essays on what the editor says are “…the contributions made by a centre [LSE in this case] where these contributions are considered to be especially important…”. These cover econometrics, economic history, accounting, business history, social policy, and the LSE’s house journal Economica. The notable absence is economic theory despite the LSE having had notable theorists throughout its entire history. For an early example, in the 1930s the School had Lionel Robbins, Friedrich Hayek, John Hicks, R. D. G. Allen, James Meade, Ronald Coase, Abba Lerner, and Nicky Kaldor. Also absent is an essay on methodology in spite of the LSE having had Carl Popper, Irme Lakatos and Joseph Agassi, all of whom had a major influence on economics at the LSE and worldwide. Part II presents essays on 29 economists who had been or still are on the School’s staff. It is organised in chronological order of birth dates, from 1861 for Canaan to 1948 for Pissarides. -
Newsletter Issue 13 July 2001
Newsletter Issue 13 July 2001 SRMS Program for the Joint Selected Moments in the Statistical Meetings in Development of Probability Atlanta Sampling: by Jim Lepkowski, SRMS Program Chair Theory & Practice by Tommy Wright, U.S. Census Bureau The ASA is advertising the Joint Statistical Meetings coming in August as “Hotlanta.” For those of us who enjoy hot weather, there will be time during the meetings to get Population and Sample away and enjoy the warm (very warm!) weather. For those who do not enjoy it, we have developed a program that “All scientific observation, whether statistical or not, should be able to keep you indoors and busy for all five is based on sampling,” says Stephan (1948).(1) “The days of the meetings. earliest examples of sampling procedures are to be found in certain very ordinary human activities. The The 2001 Joint Statistical Meetings are August 5-9, Sunday common practice of taking a small part or portion for through midday Thursday. Papers on a wide range of tasting or testing to determine the characteristics of survey topics will be presented across 13 time slots on those the whole precedes recorded history and is one of the days, beginning at 2 PM on Sunday. After 2 PM and 4 PM roots from which sampling methodology stems...” sessions on Sunday, there are invited and contributed paper sessions at 8:30, 10:30, and 2:00 Monday, Tuesday, The current approach to sampling assumes a given finite (Continued on p. 7) collection of units, called a population. When examination of each and every unit in the population to know a I NSIDE T HIS I SSUE particular population characteristic is undesirable or impractical, a sample, i.e., a subset or portion of the 1 SRMS Program for the Joint Statistical Meetings in population, may be selected to yield satisfactory Atlanta information regarding the particular population 1 Selected Moments in the Development of characteristic. -
Professor A. L. Bowley's Theory of the Representative Method *
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. I am grateful to Andrew Dale for his comments on an earlier draft. December 2008 1 Introduction “I think that if practical statistics has acquired something valuable in the represen- tative method, this is primarily due to Professor A. -
The Market for Political Economy: the Advent of Economics in British University Culture, 1850-1905
THE MARKET FOR POLITICAL ECONOMY THE MARKET FOR POLITICAL ECONOMY The advent of economics in British university culture, 1850–1905 Edited by Alon Kadish and Keith Tribe London and New York First published 1993 by Routledge 11 New Fetter Lane, London EC4P 4EE Simultaneously published in the USA and Canada by Routledge Inc. 29 West 35th Street, New York, NY 10001 Routledge is an imprint of the Taylor & Francis Group This edition published in the Taylor & Francis e-Library, 2003. © 1993 Alon Kadish and Keith Tribe All rights reserved. No part of this book may be reprinted or reproduced or utilized in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage and retrieval system, without permission in writing from the publishers. British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library. ISBN 0-203-40617-6 Master e-book ISBN ISBN 0-203-71441-5 (Adobe eReader Format) ISBN 0-415-03874-X (Print Edition) Library of Congress Cataloging-in-Publication Data The Market for political economy: the advent of economics in British university culture, 1850–1905/ edited by Alon Kadish, Keith Tribe. p. cm. Includes bibliographical references and index. ISBN 0-415-03874-X 1. Economics—Study and teaching (Higher)—Great Britain— History. 2. Universities and colleges—Great Britain— Curricula—History. 3. Economics—Great Britain—History. I. Kadish, Alon, 1950– II. Tribe, Keith, 1949– HB74.9.G7M37 1993