Meeting the Nobel Giants
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Economic Choices
ECONOMIC CHOICES Daniel McFadden* This Nobel lecture discusses the microeconometric analysis of choice behavior of consumers who face discrete economic alternatives. Before the 1960's, economists used consumer theory mostly as a logical tool, to explore conceptually the properties of alternative market organizations and economic policies. When the theory was applied empirically, it was to market-level or national-accounts-level data. In these applications, the theory was usually developed in terms of a representative agent, with market-level behavior given by the representative agent’s behavior writ large. When observations deviated from those implied by the representative agent theory, these differences were swept into an additive disturbance and attributed to data measurement errors, rather than to unobserved factors within or across individual agents. In statistical language, traditional consumer theory placed structural restrictions on mean behavior, but the distribution of responses about their mean was not tied to the theory. In the 1960's, rapidly increasing availability of survey data on individual behavior, and the advent of digital computers that could analyze these data, focused attention on the variations in demand across individuals. It became important to explain and model these variations as part of consumer theory, rather than as ad hoc disturbances. This was particularly obvious for discrete choices, such as transportation mode or occupation. The solution to this problem has led to the tools we have today for microeconometric analysis of choice behavior. I will first give a brief history of the development of this subject, and place my own contributions in context. After that, I will discuss in some detail more recent developments in the economic theory of choice, and modifications to this theory that are being forced by experimental evidence from cognitive psychology. -
A Monetary History of the United States, 1867-1960’
JOURNALOF Monetary ECONOMICS ELSEVIER Journal of Monetary Economics 34 (I 994) 5- 16 Review of Milton Friedman and Anna J. Schwartz’s ‘A monetary history of the United States, 1867-1960’ Robert E. Lucas, Jr. Department qf Economics, University of Chicago, Chicago, IL 60637, USA (Received October 1993; final version received December 1993) Key words: Monetary history; Monetary policy JEL classijcation: E5; B22 A contribution to monetary economics reviewed again after 30 years - quite an occasion! Keynes’s General Theory has certainly had reappraisals on many anniversaries, and perhaps Patinkin’s Money, Interest and Prices. I cannot think of any others. Milton Friedman and Anna Schwartz’s A Monetary History qf the United States has become a classic. People are even beginning to quote from it out of context in support of views entirely different from any advanced in the book, echoing the compliment - if that is what it is - so often paid to Keynes. Why do people still read and cite A Monetary History? One reason, certainly, is its beautiful time series on the money supply and its components, extended back to 1867, painstakingly documented and conveniently presented. Such a gift to the profession merits a long life, perhaps even immortality. But I think it is clear that A Monetary History is much more than a collection of useful time series. The book played an important - perhaps even decisive - role in the 1960s’ debates over stabilization policy between Keynesians and monetarists. It organ- ized nearly a century of U.S. macroeconomic evidence in a way that has had great influence on subsequent statistical and theoretical research. -
Regulatory Growth Theory
Regulatory Growth Theory Danxia Xie Tsinghua University December 31, 2017 Abstract This research explores and quantifies the downside of innovations, especially the negative externality of an innovation interacting with the stock of existing innovations. Using two novel datasets, I find that the number of varieties of innovation risks is quadratic in the varieties of innovations that caused them. Based on this new empirical fact, I develop a Regulatory Growth Theory: a new growth model with innovation-induced risks and with a regulator. I model both the innovation risk generating structure and the regulator’sendoge- nous response. This new theory can help to interpret several empirical puzzles beyond the explanatory power of existing models of innovations: (1) skyrocketing expected R&D cost per innovation and (2) exponentially increasing regulation over time. Greater expenditures on regulation and corporate R&D are required to assess the net benefit of an innovation because of “Risk Externality”: negative interaction effects between innovations. The rise of regulation versus litigation, and broader implications for regulatory reform are also discussed. Address: Institute of Economics, Tsinghua University, China. The author’s e-mail address is [email protected]. I am grateful to Gary Becker, Casey Mulligan, Randy Kroszner, Tom Philipson, and Eric Posner for invaluable advice. Also thank Ufuk Akcigit, Olivier Blanchard, Will Cong, Steve Davis, Jeffrey Frankel, Matt Gentzkow, Yehonatan Givati, Michael Greenstone, Lars Hansen, Zhiguo He, Chang- Tai Hsieh, Chad Jones, Greg Kaplan, John List, Bob Lucas, Joel Mokyr, Roger Myerson, Andrei Shleifer, Hugo Sonnenschein, Nancy Stokey, and Hanzhe Zhang for very helpful suggestions and discussions. An early version was presented at Econometric Society 2015 World Congress, Montreal. -
Ten Nobel Laureates Say the Bush
Hundreds of economists across the nation agree. Henry Aaron, The Brookings Institution; Katharine Abraham, University of Maryland; Frank Ackerman, Global Development and Environment Institute; William James Adams, University of Michigan; Earl W. Adams, Allegheny College; Irma Adelman, University of California – Berkeley; Moshe Adler, Fiscal Policy Institute; Behrooz Afraslabi, Allegheny College; Randy Albelda, University of Massachusetts – Boston; Polly R. Allen, University of Connecticut; Gar Alperovitz, University of Maryland; Alice H. Amsden, Massachusetts Institute of Technology; Robert M. Anderson, University of California; Ralph Andreano, University of Wisconsin; Laura M. Argys, University of Colorado – Denver; Robert K. Arnold, Center for Continuing Study of the California Economy; David Arsen, Michigan State University; Michael Ash, University of Massachusetts – Amherst; Alice Audie-Figueroa, International Union, UAW; Robert L. Axtell, The Brookings Institution; M.V. Lee Badgett, University of Massachusetts – Amherst; Ron Baiman, University of Illinois – Chicago; Dean Baker, Center for Economic and Policy Research; Drucilla K. Barker, Hollins University; David Barkin, Universidad Autonoma Metropolitana – Unidad Xochimilco; William A. Barnett, University of Kansas and Washington University; Timothy J. Bartik, Upjohn Institute; Bradley W. Bateman, Grinnell College; Francis M. Bator, Harvard University Kennedy School of Government; Sandy Baum, Skidmore College; William J. Baumol, New York University; Randolph T. Beard, Auburn University; Michael Behr; Michael H. Belzer, Wayne State University; Arthur Benavie, University of North Carolina – Chapel Hill; Peter Berg, Michigan State University; Alexandra Bernasek, Colorado State University; Michael A. Bernstein, University of California – San Diego; Jared Bernstein, Economic Policy Institute; Rari Bhandari, University of California – Berkeley; Melissa Binder, University of New Mexico; Peter Birckmayer, SUNY – Empire State College; L. -
Putting Auction Theory to Work
Putting Auction Theory to Work Paul Milgrom With a Foreword by Evan Kwerel © 2003 “In Paul Milgrom's hands, auction theory has become the great culmination of game theory and economics of information. Here elegant mathematics meets practical applications and yields deep insights into the general theory of markets. Milgrom's book will be the definitive reference in auction theory for decades to come.” —Roger Myerson, W.C.Norby Professor of Economics, University of Chicago “Market design is one of the most exciting developments in contemporary economics and game theory, and who can resist a master class from one of the giants of the field?” —Alvin Roth, George Gund Professor of Economics and Business, Harvard University “Paul Milgrom has had an enormous influence on the most important recent application of auction theory for the same reason you will want to read this book – clarity of thought and expression.” —Evan Kwerel, Federal Communications Commission, from the Foreword For Robert Wilson Foreword to Putting Auction Theory to Work Paul Milgrom has had an enormous influence on the most important recent application of auction theory for the same reason you will want to read this book – clarity of thought and expression. In August 1993, President Clinton signed legislation granting the Federal Communications Commission the authority to auction spectrum licenses and requiring it to begin the first auction within a year. With no prior auction experience and a tight deadline, the normal bureaucratic behavior would have been to adopt a “tried and true” auction design. But in 1993 there was no tried and true method appropriate for the circumstances – multiple licenses with potentially highly interdependent values. -
A Brief Appraisal of Behavioral Economists' Plea for Light Paternalism
Brazilian Journal of Political Economy, vol 32, nº 3 (128), pp 445-458, July-September/2012 Freedom of choice and bounded rationality: a brief appraisal of behavioral economists’ plea for light paternalism ROBERTA MURAMATSU PATRÍCIA FONSECA* Behavioral economics has addressed interesting positive and normative ques- tions underlying the standard rational choice theory. More recently, it suggests that, in a real world of boundedly rational agents, economists could help people to im- prove the quality of their choices without any harm to autonomy and freedom of choice. This paper aims to scrutinize available arguments for and against current proposals of light paternalistic interventions mainly in the domain of intertemporal choice. It argues that incorporating the notion of bounded rationality in economic analysis and empirical findings of cognitive biases and self-control problems cannot make an indisputable case for paternalism. Keywords: freedom; choice; bounded rationality; paternalism; behavioral eco- nomics. JEL Classification: B40; B41; D11; D91. So the immediate problem in Libertarian Paternalism is the fatuity of its declared motivation Very few libertarians have maintained what Thaler and Sunstein suggest they maintain, and indeed many of the leading theorists have worked with ideas in line with what Thaler and Sunstein have to say about man’s nature Thaler and Sunstein are forcing an open door Daniel Klein, Statist Quo Bias, Economic Journal Watch, 2004 * Professora doutora da Universidade Presbiteriana Mackenzie e do Insper, e-mail: rmuramatsu@uol. com.br; Pesquisadora independente na área de Economia Comportamental e Psicologia Econômica, e-mail [email protected]. Submetido: 23/fevereiro/2011. Aprovado: 12/março/2011. Revista de Economia Política 32 (3), 2012 445 IntrodUCTION There is a long-standing methodological tradition stating that economics is a positive science that remains silent about policy issues and the complex determi- nants of human ends, values and motives. -
John Von Neumann Between Physics and Economics: a Methodological Note
Review of Economic Analysis 5 (2013) 177–189 1973-3909/2013177 John von Neumann between Physics and Economics: A methodological note LUCA LAMBERTINI∗y University of Bologna A methodological discussion is proposed, aiming at illustrating an analogy between game theory in particular (and mathematical economics in general) and quantum mechanics. This analogy relies on the equivalence of the two fundamental operators employed in the two fields, namely, the expected value in economics and the density matrix in quantum physics. I conjecture that this coincidence can be traced back to the contributions of von Neumann in both disciplines. Keywords: expected value, density matrix, uncertainty, quantum games JEL Classifications: B25, B41, C70 1 Introduction Over the last twenty years, a growing amount of attention has been devoted to the history of game theory. Among other reasons, this interest can largely be justified on the basis of the Nobel prize to John Nash, John Harsanyi and Reinhard Selten in 1994, to Robert Aumann and Thomas Schelling in 2005 and to Leonid Hurwicz, Eric Maskin and Roger Myerson in 2007 (for mechanism design).1 However, the literature dealing with the history of game theory mainly adopts an inner per- spective, i.e., an angle that allows us to reconstruct the developments of this sub-discipline under the general headings of economics. My aim is different, to the extent that I intend to pro- pose an interpretation of the formal relationships between game theory (and economics) and the hard sciences. Strictly speaking, this view is not new, as the idea that von Neumann’s interest in mathematics, logic and quantum mechanics is critical to our understanding of the genesis of ∗I would like to thank Jurek Konieczny (Editor), an anonymous referee, Corrado Benassi, Ennio Cavaz- zuti, George Leitmann, Massimo Marinacci, Stephen Martin, Manuela Mosca and Arsen Palestini for insightful comments and discussion. -
Introduction to Game Theory
Economic game theory: a learner centred introduction Author: Dr Peter Kührt Introduction to game theory Game theory is now an integral part of business and politics, showing how decisively it has shaped modern notions of strategy. Consultants use it for projects; managers swot up on it to make smarter decisions. The crucial aim of mathematical game theory is to characterise and establish rational deci- sions for conflict and cooperation situations. The problem with it is that none of the actors know the plans of the other “players” or how they will make the appropriate decisions. This makes it unclear for each player to know how their own specific decisions will impact on the plan of action (strategy). However, you can think about the situation from the perspective of the other players to build an expectation of what they are going to do. Game theory therefore makes it possible to illustrate social conflict situations, which are called “games” in game theory, and solve them mathematically on the basis of probabilities. It is assumed that all participants behave “rationally”. Then you can assign a value and a probability to each decision option, which ultimately allows a computational solution in terms of “benefit or profit optimisation”. However, people are not always strictly rational because seemingly “irrational” results also play a big role for them, e.g. gain in prestige, loss of face, traditions, preference for certain colours, etc. However, these “irrational" goals can also be measured with useful values so that “restricted rational behaviour” can result in computational results, even with these kinds of models. -
Entry for Daniel Mcfadden in the New Palgrave Dictionary of Economics 1
Entry for Daniel McFadden in the New Palgrave Dictionary of Economics 1. Introduction Daniel L. McFadden, the E. Morris Cox Professor of Economics at the University of Cali- fornia at Berkeley, was the 2000 co-recipient of the Nobel Prize in Economics, awarded “for his development of theory and methods of analyzing discrete choice.” 1 McFadden was born in North Carolina, USA in 1937 and received a B.S. in Physics from the University of Minnesota (with highest honors) in 1956, and a Ph.D. degree in Economics from Minnesota in 1962. His academic career began as a postdoctoral fellow at the University of Pittsburgh. In 1963 he was appointed as assistant professor of economics at the University of California at Berkeley, and tenured in 1966. He has also held tenured appointments at Yale (as Irving Fisher Research Professor in 1977), and at the Massachusetts Institute of Technology (from 1978 to 1991). In 1990 he was awarded the E. Morris Cox chair at the University of California at Berkeley, where he has also served as Department Chair and as Director of the Econometrics Laboratory. 2. Research Contributions McFadden is best known for his fundamental contributions to the theory and econometric methods for analyzing discrete choice. Building on a highly abstract, axiomatic literature on probabilistic choice theory due to Thurstone (1927), Block and Marschak (1960), and Luce (1959) and others in a literature that originated in mathematical psychology, McFadden developed the econometric methodology for estimating the utility functions underlying probabilistic choice theory. McFadden’s primary contribution was to provide the econometric tools that permitted widespread practical empirical application of discrete choice models, in economics and other disciplines. -
A Macroeconomic Approach to Optimal Unemployment Insurance: Applications†
American Economic Journal: Economic Policy 2018, 10(2): 182–216 https://doi.org/10.1257/pol.20160462 A Macroeconomic Approach to Optimal Unemployment Insurance: Applications† By Camille Landais, Pascal Michaillat, and Emmanuel Saez* In the United States, unemployment insurance UI is more generous when unemployment is high. This paper examines( ) whether this pol- icy is desirable. The optimal UI replacement rate is the Baily-Chetty replacement rate plus a correction term measuring the effect of UI on welfare through labor market tightness. Empirical evidence suggests that tightness is inefficiently low in slumps and inefficiently high in booms, and that an increase in UI raises tightness. Hence, the cor- rection term is positive in slumps but negative in booms, and optimal UI is indeed countercyclical. Since there remains some uncertainty about the empirical evidence, the paper provides a thorough sensi- tivity analysis. JEL E24, E32, J64, J65 ( ) n the United States, unemployment insurance UI is more generous when ( ) Iunemployment is high. This policy started as an exceptional measure after the 1957–1958 recession and became a permanent program in 1970. Despite its long history, the policy remains debated. This paper examines whether the policy is desir- able from a welfare perspective. We conduct the welfare analysis in a matching model. We extend the static model from a companion paper Landais, Michaillat, and Saez 2018 into a dynamic model ( ) better suited for quantitative applications Section I . The model features most ( ) effects discussed in the policy debate: the effects of UI on job search, on wages, on job vacancies, and on aggregate unemployment.1 The optimal generosity of UI is given by a sufficient-statistic formula: the optimal replacement rate equals the Baily-Chetty replacement rate, a well-researched entity, plus a correction term mea- suring the effect of UI on social welfare through labor market tightness. -
The Case of Nepal Page 20 Shikha Silwal
The Economics of Vol. 8, No. 2 (2013) Peace and Security Articles Journal William C. Bunting on conflict over fundamental rights © www.epsjournal.org.uk Boris Gershman on envy and conflict ISSN 1749-852X Shikha Silwal on the spatial-temporal spread of civil war in Nepal A publication of Smita Ramnarain on the role of women’s cooperatives in Nepalese Economists for Peace peacebuilding and Security (U.K.) Guro Lien on the political economy of security sector reform Editors Jurgen Brauer, Georgia Regents University, Augusta, GA, USA J. Paul Dunne, University of Cape Town, South Africa The Economics of Peace and Security Journal © www.epsjournal.org.uk, ISSN 1749-852X A publication of Economists for Peace and Security (U.K.) Editors Aims and scope Jurgen Brauer Georgia Regents University, Augusta, GA, USA This journal raises and debates all issues related to the political economy of personal, communal, national, J. Paul Dunne international, and global conflict, peace and security. The scope includes implications and ramifications of University of Cape Town, South Africa conventional and nonconventional conflict for all human and nonhuman life and for our common habitat. Web editor Special attention is paid to constructive proposals for conflict resolution and peacemaking. While open to Thea Harvey-Barratt Economists for Peace and Security, Annandale-upon- noneconomic approaches, most contributions emphasize economic analysis of causes, consequences, and Hudson, NY, USA possible solutions to mitigate conflict. Book review editor The journal is aimed at specialist and nonspecialist readers, including policy analysts, policy and Elisabeth Sköns decisionmakers, national and international civil servants, members of the armed forces and of peacekeeping Stockholm International Peace Research Institute, services, the business community, members of nongovernmental organizations and religious institutions, and Stockholm, Sweden others. -
3 Nobel Laureates to Honor UCI's Duncan Luce
3 Nobel laureates to honor UCI’s Duncan Luce January 25th, 2008 by grobbins Three recent winners of the Nobel Prize in economics will visit UC Irvine today and Saturday to honor mathematician-psychologist Duncan Luce, who shook the economics world 50 years ago with a landmark book on game theory. Game theory is the mathematical study of conflict and interaction among people. Luce and his co-author, Howard Raiffa, laid out some of the most basic principles and insights about the field in their book, “Games and Decisions: Introductions and Critical Survey.” That book, and seminal equations Luce later wrote that helped explain and predict a wide range of human behavior, including decision-making involving risk, earned him the National Medal of Science, which he received from President Bush in 2005. (See photo.) UCI mathematican Don Saari put together a celebratory conference to honor both Luce and Raiffa, and he recruited some of the world’s best-known economic scientists. It’s one of the largest such gatherings since UCI hosted 17 Nobel laureates in October 1996. “Luce and Raiffa’s book has been tremendously influential and we wanted to honor them,” said Saari, a member of the National Academy of Sciences. Luce said Thursday night, “This is obviously very flattering, and it’s amazing that the book is sufficiently alive that people would want to honor it.” The visitors scheduled to attended the celebratory conference include: Thomas Schelling, who won the 2005 Nobel in economics for his research on game theory Roger Myerson and Eric Maskin, who shared the 2007 Nobel in economics for their work in design theory.