DOCSLIB.ORG

Statistics in the International Encyclopedia of the Social Sciences

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Statistics in the International Encyclopedia of the Social Sciences 154 STATISTICS IN THE INTERNATIONAL ENCYCLOPEDIA OF THE SOCIAL SCIENCES William Kruskal, University of Chicago A,number of interesting problems ESTIMATION have been faced in planning the sixty - I Point estimation odd statistical articles for the forth- (D. L. Burkholder) coming International Encyclopedia of the II Confidence intervals and regions Social Sciences. An encyclopedia has (J. Pfanzagl) many functions, and users approach it EVIDENCE, STATISTICS AS LEGAL in many ways. Should articles be pri- (Hans Zeisel) marily essays about parts of statistics, EXPERIMENTAL DESIGN without attempt at full coverage? I The design of experiments Should articles be handbook -like terse (William G. Cochran) summaries? How should controversial II Response surfaces (George E. P. areas, and widely differing viewpoints Box) towards statistics be treated? What III Quasi- experimental design about level of exposition? Following (Donald T. Campbell) discussion of such issues, brief des- IV Social experiments (Fred L. criptions were given of the intensive Strodtbeck) work on accuracy, clarity of exposition, EXPLANATION (Sidney Morgenbesser) etc., and of the structure of the sta- FACTOR ANALYSIS tistical topics to be treated. I Statistical aspects (A. E. Maxwell) PRELIMINARY LIST OF STATISTICS AND II Psychological applications STATISTICS - RELATED ARTICLES IN THE (Lloyd G. Humphreys) INTERNATIONAL ENCYCLOPEDIA OF THE FALLACIES, STATISTICAL (Irving John Good) SOCIAL SCIENCES FIDUCIAL INFERENCE (R. A. Fisher) GEOGRAPHY: Statistical Geography Topical Articles (Brian J. L. Berry) GOODNESS OF FIT (Herbert T. David) BAYESIAN INFERENCE (Harry V. Roberts) GOVERNMENT STATISTICS (Nathan Keyfitz) CAUSATION (Herbert A. Simon) GRAPHICS (Calvin F. Schmid) CENSUS (Conrad Taeuber) HYPOTHESIS TESTING (E. L. Lehmann) CLUSTERING (David Wallace) IDENTIFIABILITY, STATISTICAL COHORT ANALYSIS (Norman B. Ryder) (Olav Reiersg(l) COMPUTATION (Robert L. Ashenhurst) INDEX NUMBERS CONCENTRATION CURVES (P. C. Mahalanobis) I Theoretical aspects (Erik Ruist) CONTENT ANALYSIS (Matilda W. Riley & II Practical applications (Ethel D. Clarice S. Stoll) Hoover) COUNTED DATA (Douglas G. Chapman) III Sampling (Philip J. McCarthy) CROSS- SECTION ANALYSIS (Yair Mundlak) LATENT STRUCTURE (Albert Madansky) CYBERNETICS (M. E. Maron) LIFE TABLES (Mortimer Spiegelman) DECISION THEORY (Herman Chernoff) LIKELIHOOD (Allan Birnbaum) DISTRIBUTIONS, STATISTICAL LINEAR HYPOTHESES I Special discrete distributions I Regression (E. J. Williams) (Frank A. Haight) II Analysis of variance II Special continuous distributions (Julian C. Stanley) (Donald B. Owen) III Multiple comparisons (Peter III Approximations to distributions Nemenyi) (N. L. Johnson) MARKOV CHAINS (Patrick Billingsley) IV Mixtures of distributions MATHEMATICS (R. Duncan Luce & (Wallace R. Blischke) Patrick Suppes) ERRORS MULTIVARIATE ANALYSIS I Nonsampling errors I Overview (Ralph A. Bradley) (Frederick Mosteller) II Correlation (Harold Hotelling) II Effects of errors in statistical III Discriminant functions assumptions (Robert M. Elashoff) (T. W. Anderson) 155 NONPARAMETRIC STATISTICS III Concepts and indices I The field (I. Richard Savage) (Allen H. Barton) II Order statistics (Bernard G. IV Panel analysis (Lee M. Wiggins) Greenberg) V Reasons analysis (Charles III Runs (P. G. Moore) Kadushin) IV Ranking methods (Herbert A. VI Facet analysis (Louis Guttman) David) VII Applications in economics PREDICTION (Karl F. Schuessler) (James N. Morgan) PROBABILITY TABULAR PRESENTATION (James A. Davis) I Formal probability (Gottfried E. TIME SERIES Noether) I General (Gerhard Tintner) II Interpretations (Bruno de II Advanced problems (P. Whittle) Finetti) III Cycles (Herman Wold) PROGRAMMING (Richard E. Quandt) IV Seasonal adjustment (Julius PSYCHOMETRICS (Edward E. Cureton) Shiskin) QUALITY CONTROL, STATISTICAL VARIANCES, STATISTICAL STUDY OF I Acceptance sampling (H. R. Van der Vaart) (H. C. Hamaker) II Control charts (E. S. Page) Biographical Articles III Reliability and life testing (Marvin Zelen) Babbage, Charles, 1792 -1871 (Philip QUANTAL RESPONSE (Byron W. Brown, Jr.) Morrison & Emily Morrison) QUEUES (D. R. Cox) Bayes, Thomas, 1701 or 1702 -1761 RANDOM NUMBERS (Mervin E. Muller) (G. A. Barnard) RANK --SIZE RELATIONS (Anatol Rapoport) Benini, Rodolfo, 1862 -1956 (Klaus - RESPONSE SETS (Samuel Messick) Peter Heiss) SAMPLE SURVEYS Bernoulli Family, The (Joachim Otto I The field (W. Edwards Deming) Fleckenstein) II Nonprobability sampling Bienaymg, Jules, 1796 -1878 (Alan Stuart) (Daniel Dugug) SCALING (Warren S. Torgerson) Bortkiewicz, Ladislaus von, 1868 -1931 SCREENING AND SELECTION (C. W. Dunnett) (E. J. Gumbel) SEQUENTIAL ANALYSIS (P. Armitage) De Moivre, Abraham, 1667 -1754 SIMULTANEOUS EQUATION ESTIMATION (Hilary L. Seal) (Lawrence Klein) Fisher, R. A., 1890 -1962 (Maurice STATISTICAL ANALYSIS, SPECIAL PROBLEMS Bartlett) OF Galton, Francis, 1822 -1911 (Florence N. I Outliers (F. J. Anscombe) David) II Transformation of data Gauss, Karl Friedrich, 1777 -1855 (F. J. Anscombe) (Churchill Eisenhart) III Grouped observations Gini, Corrado, 1884 - (N. F. Gjeddeback) (Tommaso Salvemini) IV Truncation and censorship Girshick, Meyer A., 1908 -1955 (Lincoln E. Moses) (Albert H. Bowker) STATISTICS Gosset, William Sealy, 1876 -1937 I The field (William H. Kruskal) (J. 0. Irwin) II The history of statistical Graunt, John, 1620 -1674 (B. Benjamin) method (M. G. Kendall) Kelley, Truman L., 1884 -1961 STATISTICS, DESCRIPTIVE (David V. Tiedeman) I Location and dispersion Keynes, John Maynard, 1883 -1946 (Hans Kellerer) I Contributions to economics II Association (Robert H. Somers) (Roy Harrod) SUFFICIENCY (J. L. Hodges, Jr.) II Contributions to statistics SURVEY ANALYSIS (Dennis V. Lindley) I Methods of survey analysis Kórósi, Jozsef, 1844 -1906 (Hanan C. Selvin) (D. L. Thirring) II The analysis of attribute data Laplace, Pierre Simon de, 1749 -1827 (Paul F. Lazarsfeld) (Maurice Fréchet) 156 Lexis, Wilhelm, 1837 -1914 (R. K. Bauer) Süssmilch, Johann Peter, 1707 -1767 Lotka, Alfred J., 1880 -1949 (I. Esenwein- Rothe) (Joseph J. Spengler) Von Mises, Richard, 1883 -1953 Pearson, Karl, 1857 -1936 (Helen M. (Hilda Geiringer) Walker) Von Neumann, John, 1903 -1957 Petty, William, 1623 -1687 (Oskar Morgenstern) (Phyllis Deane) Wald, Abraham, 1902 -1950 Poisson, Siméon Denis, 1781 -1840 (Harold A. Freeman) (Robert Féron) Wiener, Norbert, 1894 -1964 (M. E. Maron) Quetelet, Adolphe, 1796 -1874 Wilks, S. S., 1907 -1964 (Paul F. Lazarsfeld) (Frederick Mosteller) Spearman, C. E., 1863 -1945 (Raymond B. Willcox, Walter F., 1861 -1964 Cattell) (Frank Notestein) Stouffer, Samuel A., 1900 -1960 Yule, G. Udny, 1871 -1951 (M. Brewster Smith) (M. G. Kendall) .
Load more

Recommended publications
  • Econometrics
    BIBLIOGRAPHY ISSUE 28, OCTOBER-NOVEMBER 2013 Econometrics http://library.bankofgreece.gr http://library.bankofgreece.gr Tables of contents Introduction...................................................................................................................2 I. Print collection of the Library...........................................................................................3 I.1 Monographs .................................................................................................................3 I.2 Periodicals.................................................................................................................. 33 II. Electronic collection of the Library ................................................................................ 35 II.1 Full text articles ..................................................................................................... 35 IΙI. Resources from the World Wide Web ......................................................................... 59 IV. List of topics published in previous issues of the Bibliography........................................ 61 Image cover: It has created through the website http://www.wordle.net All the issues are available at the internet: http://www.bankofgreece.gr/Pages/el/Bank/Library/news.aspx Bank of Greece / Centre for Culture, Research and Documentation / Library Unit / 21 El. Venizelos, 102 50 Athens / [email protected]/ Tel. 210 320 2446, 2522 / Bibliography: bimonthly electronic edition, Issue 28, September- October 2013 Contributors:
    [Show full text]
  • Indian Statistical Institute
    CHAPTER VII INDIAN STATISTICAL INSTITUTE 7.1 The Indian Statistical Institute (ISI) came into being with the pioneering initiative and efforts of Professor P.C. Mahalanobis in early thirties (registered on 28 April, 1932). The Institute expanded its research, teaching, training and project activities and got national/international recognitions. The Institute was recognized as an “Institute of National Importance” by an Act of Parliament, known as “Indian Statistical Institute Act No.57 of 1959”. Significantly, Pandit Jawaharlal Nehru, the then Prime Minister piloted the bill in the Parliament in 1959. This Act conferred the right to hold examinations and award degrees/diplomas in Statistics. Degree courses viz. Bachelor of Statistics (B.Stat.), Master of Statistics (M.Stat.) and post graduate diplomas in SQC & OR and Computer Science were started from June 1960. The Institute was also empowered to award Ph.D./D.Sc. degree from the same year. Subsequently, Master of Technology courses in Computer Science and in Quality, Reliability & Operations Research were also started. The Institute’s scope was further enlarged to award degrees/diplomas in Statistics, Mathematics, Quantitative Economics, Computer Science and such other subjects related to Statistics by virtue of “Indian Statistical Institute (Amendment) Act, 1995. The Institute took up research activities not only in Statistics/Mathematics but also in Natural and Social Sciences, Physics and Earth Sciences, Biological Sciences, Statistical Quality Control & Operations Research and Library and Information Sciences. 7.2 Sankhya – The Indian Journal of Statistics, being published by the Institute since 1933, is considered as one of the leading Statistical Journals of the world.
    [Show full text]
  • Partial Least Squares Path Modeling Hengky Latan • Richard Noonan Editors
    Partial Least Squares Path Modeling Hengky Latan • Richard Noonan Editors Partial Least Squares Path Modeling Basic Concepts, Methodological Issues and Applications 123 Editors Hengky Latan Richard Noonan Department of Accounting Institute of International Education STIE Bank BPD Jateng and Petra Stockholm University Christian University Stockholm, Sweden Semarang-Surabaya, Indonesia ISBN 978-3-319-64068-6 ISBN 978-3-319-64069-3 (eBook) DOI 10.1007/978-3-319-64069-3 Library of Congress Control Number: 2017955377 Mathematics Subject Classification (2010): 62H20, 62H25, 62H12, 62F12, 62F03, 62F40, 65C05, 62H30 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved 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 transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.
    [Show full text]
  • Econometrics As a Pluralistic Scientific Tool for Economic Planning: on Lawrence R
    Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics Erich Pinzón-Fuchs To cite this version: Erich Pinzón-Fuchs. Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics. 2016. halshs-01364809 HAL Id: halshs-01364809 https://halshs.archives-ouvertes.fr/halshs-01364809 Preprint submitted on 12 Sep 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Documents de Travail du Centre d’Economie de la Sorbonne Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics Erich PINZÓN FUCHS 2014.80 Maison des Sciences Économiques, 106-112 boulevard de L'Hôpital, 75647 Paris Cedex 13 http://centredeconomiesorbonne.univ-paris1.fr/ ISSN : 1955-611X Econometrics as a Pluralistic Scientific Tool for Economic Planning: On Lawrence R. Klein’s Econometrics Erich Pinzón Fuchs† October 2014 Abstract Lawrence R. Klein (1920-2013) played a major role in the construction and in the further dissemination of econometrics from the 1940s. Considered as one of the main developers and practitioners of macroeconometrics, Klein’s influence is reflected in his application of econometric modelling “to the analysis of economic fluctuations and economic policies” for which he was awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel in 1980.
    [Show full text]
  • Physica a the Pre-History of Econophysics and the History of Economics: Boltzmann Versus the Marginalists
    Physica A 507 (2018) 89–98 Contents lists available at ScienceDirect Physica A journal homepage: www.elsevier.com/locate/physa The pre-history of econophysics and the history of economics: Boltzmann versus the marginalists Geoffrey Poitras 1 Simon Fraser University, Vancouver B.C., Canada V5A lS6 h i g h l i g h t s • A comparative intellectual history of econophysics and economic science is provided to demonstrate why and how econophysics is distinct from economics. • The history and role of the ergodicity hypothesis of Ludwig Boltzmann is considered. • The use of phenomenological methods in econophysics is detailed. • The role of ergodicity in empirical estimates of models in economics is identified. article info a b s t r a c t Article history: This paper contrasts developments in the pre-history of econophysics with the history of Received 7 January 2018 economics. The influence of classical physics on contributions of 19th century marginalists Received in revised form 17 March 2018 is identified and connections to the subsequent development of neoclassical economics Available online 21 May 2018 discussed. The pre-history of econophysics is traced to a seminal contribution in the history of statistical mechanics: the classical ergodicity hypothesis introduced by L. Boltzmann. Keywords: The subsequent role of the ergodicity hypothesis in empirical testing of the deterministic Ergodicity Ludwig Boltzmann theories of neoclassical economics is identified. The stochastic models used in modern eco- Econophysics nomics are compared with the more stochastically complex models of statistical mechanics Neoclassical economics used in econophysics. The influence of phenomenology in econophysics is identified and Marginal revolution discussed.
    [Show full text]
  • Ekonomporträttet: Herman Wold (1908–1992)
    RAGNAR BENTZEL Ekonomporträttet: Herman Wold (1908–1992) Herman Wold måste sägas vara en av Sveriges mest inflytelserika ekonomer i modern tid. Han gjorde banbrytande insatser inom en rad centrala områden, främst vad gäller statistik, ekonometri och konsumtionsteori, och många av hans skrifter är fortfarande standard- referenser i den internationella litteraturen. Herman Wold fick aldrig det Nobelpris och efter studentexamen påbörjade han som han så hett eftertraktade. Själv var sina universitetsstudier i Stockholm. Där han övertygad om att han förr eller senare ägnade han sig åt matematik och matema- skulle få ett sådant pris och det var en tisk statistik under ledning av Harald svår besvikelse för honom att han aldrig Cramér. Han disputerade för doktorsgra- förunnades denna utmärkelse. Besvikel- den 1938, vilket renderade honom en do- sen blev inte mindre när hans vetenskap- centur vid Stockholms Högskola. lige ”motståndare” Tryggve Haavelmo Wold gjorde en snabb karriär och ut- prisbelönades år 1989. nämndes till professor i statistik vid Det är många som anser att Wold av Uppsala Universitet år 1942. Den tjänsten Vetenskapsakademien behandlades lite behöll han fram till 1970, då han flyttade snålt och att han borde blivit prisbelönad, till Göteborgs Universitet.1 Där stannade eventuellt tillsammans med Haavelmo han till sin pensionering fem år senare. och/eller någon annan. Kanske är den kri- Som pensionär återvände han till Uppsala tiken berättigad, kanske inte. Klart är Universitet. Han avled 1992. dock, att Wolds vetenskapliga meriter var av en sådan dignitet, att ett pris till honom Avhandlingen vore fullt tänkbart, men konkurrensen var hård. Doktorsavhandlingen från 1938, A Study Icke desto mindre kunde han se till- in the Analysis of Stationary Time Series, baka på en lysande akademisk karriär.
    [Show full text]
  • Two Approaches for Measuring the NAIRU Considered
    TI 2007-017/1 Tinbergen Institute Discussion Paper Derived Measurement in Macroeconomics: Two Approaches for Measuring the NAIRU Considered Peter Rodenburg University of Amsterdam. Tinbergen Institute The Tinbergen Institute is the institute for economic research of the Erasmus Universiteit Rotterdam, Universiteit van Amsterdam, and Vrije Universiteit Amsterdam. Tinbergen Institute Amsterdam Roetersstraat 31 1018 WB Amsterdam The Netherlands Tel.: +31(0)20 551 3500 Fax: +31(0)20 551 3555 Tinbergen Institute Rotterdam Burg. Oudlaan 50 3062 PA Rotterdam The Netherlands Tel.: +31(0)10 408 8900 Fax: +31(0)10 408 9031 Most TI discussion papers can be downloaded at http://www.tinbergen.nl. Derived Measurement in Macroeconomics: Two Approaches for Measuring the NAIRU considered ∗ Peter Rodenburg Faculty of Economics and Econometrics and Faculty of European Studies University of Amsterdam Spuistraat 134 1012 VB Amsterdam The Netherlands Tel: 0031 20-525 4660 E-mail: [email protected] http://home.medewerker.uva.nl/p.rodenburg/ Abstract: This paper investigates two different procedures for the measurement of the NAIRU; one based on structural modeling while the other is a statistical approach using Vector Auto Regression (VAR)-models. Both measurement procedures are assessed by confronting them with the dominant theory of measurement, the Representation Theory of Measurement, which states that for sound measurement a strict isomorphism (strict one-to- one mapping) is needed between variations in the phenomenon (the NAIRU) and numbers. The paper argues that shifts of the Phillips-curve are not a problem for the structural approach to measurement of the NAIRU, as the NAIRU itself is a time-varying concept.
    [Show full text]
  • Rational Expectations: Retrospect and Prospect
    Rational Expectations: Retrospect and Prospect A Panel Discussion with Michael Lovell Robert Lucas Dale Mortensen Robert Shiller Neil Wallace Moderated by Kevin Hoover Warren Young CHOPE Working Paper No. 2011-10 30 May 2011 Rational Expectations: Retrospect and Prospect A Panel Discussion with Michael Lovell Robert Lucas Dale Mortensen Robert Shiller Neil Wallace Moderated by Kevin Hoover † Warren Young * 30 May 2011 †Department of Economics and Department of Philosophy, Duke University. Address: Box 90097, Durham, NC 27278, U.S.A. E-mail [email protected] *Department of Economics, Bar Ilan University. Address: Department of Economics, Bar Ilan University, Ramat Gan 52900, Israel. E-mail: [email protected] 1 Abstract of Rational Expectations: Retrospect and Prospect The transcript of a panel discussion marking the fiftieth anniversary of John Muth’s “Rational Expectations and the Theory of Price Movements” ( Econometrica 1961). The panel consists of Michael Lovell, Robert Lucas, Dale Mortensen, Robert Shiller, and Neil Wallace. The discussion is moderated by Kevin Hoover and Warren Young. The panel touches on a wide variety of issues related to the rational-expectations hypothesis, including: its history, starting with Muth’s work at Carnegie Tech; its methodological role; applications to policy; its relationship to behavioral economics; its role in the recent financial crisis; and its likely future. JEL Codes: B22, B31, B26, E17 Keywords: rational expectations, John F. Muth, macroeconomics, dynamics, macroeconomic policy, behavioral economics, efficient markets 2 “Rational Expectations” 28 May 2011 Rational Expectations: Retrospect and Prospect: A Panel Discussion with Michael Lovell, Robert Lucas, Dale Mortensen, Robert Shiller and Neil Wallace, Moderated by Kevin Hoover and Warren Young The panel discussion was held in a session sponsored by the History of Economics Society at the Allied Social Sciences Association (ASSA) meetings in the Capitol 1 Room of the Hyatt Regency Hotel in Denver, Colorado on 7 January 2011.
    [Show full text]
  • Aggregation Problem in Demand Analysis, 1930S-1950S
    Aggregation Problem in Demand Analysis, 1930s-1950s Hugo Chu∗ Abstract This article examines the emergence of the representative agent as the outcome of trans- formations that occurred in microeconomics in the 1930s-1950s years, especially in the subfield of demand theory. To tell this story, I begin with a particular historical inter- pretation of this subfield, propounded by Wade Hands and Philip Mirowski in the 1990s, known as the Hotelling-Schultz Impasse. Although this impasse was abandoned by the end of the 1930s, the testing of the Symmetry Restrictions and the validity of the Integra- bility Conditions continued to draw the attention of different research centers. The Cowles Commission, represented by its research director, Tjalling Koopmans, played an impor- tant role during this stage and, more to the point, in the subsequent emergence of the representative agent in microeconomics through their approach to aggregation problem. The significance of Paul Samuelson's introduction of homothetic preferences into General Equilibrium Theory and its connection to Koopmans's writings during the 1950s is also emphasized. Keywords: Representative Agent, Aggregation Problem, Tjalling Koopmans Resumo O presente artigo examina a emerg^enciado agente representativo como resultado da trans- forma¸c~aoque ocorreu na economia nos anos de 1930 a 1950, especialmente no subcampo da teoria da demanda. Para contar essa hist´oria,eu come¸cocom uma interpreta¸c~aohist´orica particular proposta por Wade Hands e Philip Mirowski nos anos de 1990 conhecido como o Impasse de Hotelling-Schultz. Embora esse impasse tenha sido abandonado ao final da d´ecadade 1930, o teste da Restri¸c~aode Simetria e a validade das Condi¸c~oesde Integrabil- idade continuou a chamar aten¸c~aode diferentes centros de pesquisas.
    [Show full text]
  • An Overview of Recent and Emerging Developments in PLS-SEM
    CHAPTER 1 An Overview of Recent and Emerging Developments in PLS-SEM LEARNING OUTCOMES 1. Understand the origins and evolution of PLS-SEM. 2. Comprehend the principles of and recent developments in measurement. 3. Get to know the essential differences between PLS-SEM and CB-SEM and understand when to use each method. CHAPTER PREVIEW In recent years many developments have occurred in partial least squares structural equation modeling (PLS-SEM). Among the most prominent was the latest release of the SmartPLS software (Ringle, Wende, & Becker, 2015). User-friendly software makes social sci- ences scholars much more efficient and effective in reaching their Draft Proofresearch and- Dopublication not goals. copy, This is especially post, true when or the distribute software includes options to complete the most up-to-date analyses possible with a particular statistical method. 1 Copyright ©2018 by SAGE Publications, Inc. This work may not be reproduced or distributed in any form or by any means without express written permission of the publisher. 2 Advanced Issues in Partial Least Squares SEM In this chapter, we first provide an overview of the origins and evolution of PLS-SEM to establish a foundation for better under- standing why the method was slow to be adopted but has been increasingly applied in recent years across many social sciences disciplines, particularly the various fields of business administration. We then summarize the software that facilitates easy application of this rapidly emerging technique and briefly highlight recent method- ological developments in PLS-SEM. To understand how PLS-SEM differs from covariance-based SEM (CB-SEM), we then discuss dif- ferent approaches to measure conceptual variables and highlight which method is more suitable for selected model types.
    [Show full text]
  • 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.
    [Show full text]
  • The Credibility Revolution in Economics: Agricultural and Applied Economists, Take Note
    Introduction Causality in Economics Point{Counterpoint Conclusion The Credibility Revolution in Economics: Agricultural and Applied Economists, Take Note Marc F. Bellemare Sanford School of Public Policy Duke University March 16, 2012 Marc F. Bellemare 2012 SCC-76 Conference Keynote Lecture Introduction Causality in Economics Introduction Point{Counterpoint Defining the Problem Conclusion The Credibility Revolution in Economics Over the past 20 years or so, a \credibility revolution" has taken place in applied microeconomics (Angrist and Pischke, 2010). The credibility revolution is so named because it has led to applied microeconomists adopting considerably more stringent standards of statistical identification. More specifically, applied microeconomists now strive to identify causal relationships rather than mere correlations. Marc F. Bellemare 2012 SCC-76 Conference Keynote Lecture Introduction Causality in Economics Introduction Point{Counterpoint Defining the Problem Conclusion The Credibility Revolution in Economics Figure: Correlation 6= Causation (Source: xkcd). Marc F. Bellemare 2012 SCC-76 Conference Keynote Lecture Introduction Causality in Economics Introduction Point{Counterpoint Defining the Problem Conclusion But First, a Confession Had I given this keynote address three years ago, I would have sung a very different tune. During the 2009 edition of this conference, I remember disagreeing with a colleague about the importance of identification and diminishing the need for clean identification. I was wrong. There's a big difference between using the best available research design and focusing only on the questions for which we can have credible causal identification. More on this in the conclusion. Marc F. Bellemare 2012 SCC-76 Conference Keynote Lecture Introduction Causality in Economics Introduction Point{Counterpoint Defining the Problem Conclusion A Necessary Condition for Policy Relevance? Q: \Any pet peeves with submissions or with referees that would be good for people to avoid?" A: \Unfortunately yes.
    [Show full text]