Guide Handbook of Mathematical Economics, Volume 3

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Moreover, differential calculus has returned to the highest levels of mathematical economics, general equilibrium theory GET , as practiced by the " GET-set " the humorous designation due to Jacques H. In particular, they were able to prove the existence of a general equilibrium, where earlier writers had failed, because of their novel mathematics: Baire category from general topology and Sard's lemma from differential topology.

John von Neumann, working with Oskar Morgenstern on the theory of games , broke new mathematical ground in by extending functional analytic methods related to convex sets and topological fixed-point theory to economic analysis. Continuing von Neumann's work in cooperative game theory , game theorists Lloyd S. For example, research on the fair prices in cooperative games and fair values for voting games led to changed rules for voting in legislatures and for accounting for the costs in public—works projects.

For example, cooperative game theory was used in designing the water distribution system of Southern Sweden and for setting rates for dedicated telephone lines in the USA. Earlier neoclassical theory had bounded only the range of bargaining outcomes and in special cases, for example bilateral monopoly or along the contract curve of the Edgeworth box. Following von Neumann's program, however, John Nash used fixed—point theory to prove conditions under which the bargaining problem and noncooperative games can generate a unique equilibrium solution.

Harsanyi and Selten were awarded for their work on repeated games.

Handbook of Mathematical Economics, Volume 3

Later work extended their results to computational methods of modeling. Agent-based computational economics ACE as a named field is relatively recent, dating from about the s as to published work. It studies economic processes, including whole economies , as dynamic systems of interacting agents over time. As such, it falls in the paradigm of complex adaptive systems. The theoretical assumption of mathematical optimization by agents markets is replaced by the less restrictive postulate of agents with bounded rationality adapting to market forces.

ACE models apply numerical methods of analysis to computer-based simulations of complex dynamic problems for which more conventional methods, such as theorem formulation, may not find ready use. In these respects, ACE has been characterized as a bottom-up culture-dish approach to the study of the economy. ACE modeling, however, includes agent adaptation, autonomy, and learning.

The method is said to benefit from continuing improvements in modeling techniques of computer science and increased computer capabilities. Issues include those common to experimental economics in general [] and by comparison [] and to development of a common framework for empirical validation and resolving open questions in agent-based modeling. Over the course of the 20th century, articles in "core journals" [] in economics have been almost exclusively written by economists in academia. As a result, much of the material transmitted in those journals relates to economic theory, and "economic theory itself has been continuously more abstract and mathematical.

Between the world wars, advances in mathematical statistics and a cadre of mathematically trained economists led to econometrics , which was the name proposed for the discipline of advancing economics by using mathematics and statistics. Within economics, "econometrics" has often been used for statistical methods in economics, rather than mathematical economics.

Statistical econometrics features the application of linear regression and time series analysis to economic data. Ragnar Frisch coined the word "econometrics" and helped to found both the Econometric Society in and the journal Econometrica in The roots of modern econometrics can be traced to the American economist Henry L.

Moore studied agricultural productivity and attempted to fit changing values of productivity for plots of corn and other crops to a curve using different values of elasticity. Moore made several errors in his work, some from his choice of models and some from limitations in his use of mathematics. The accuracy of Moore's models also was limited by the poor data for national accounts in the United States at the time.

While his first models of production were static, in he published a dynamic "moving equilibrium" model designed to explain business cycles—this periodic variation from overcorrection in supply and demand curves is now known as the cobweb model. A more formal derivation of this model was made later by Nicholas Kaldor , who is largely credited for its exposition. Much of classical economics can be presented in simple geometric terms or elementary mathematical notation.

Mathematical economics

Mathematical economics, however, conventionally makes use of calculus and matrix algebra in economic analysis in order to make powerful claims that would be more difficult without such mathematical tools. These tools are prerequisites for formal study, not only in mathematical economics but in contemporary economic theory in general. Economic problems often involve so many variables that mathematics is the only practical way of attacking and solving them. Alfred Marshall argued that every economic problem which can be quantified, analytically expressed and solved, should be treated by means of mathematical work.

Economics has become increasingly dependent upon mathematical methods and the mathematical tools it employs have become more sophisticated. As a result, mathematics has become considerably more important to professionals in economics and finance. Graduate programs in both economics and finance require strong undergraduate preparation in mathematics for admission and, for this reason, attract an increasingly high number of mathematicians.

Applied mathematicians apply mathematical principles to practical problems, such as economic analysis and other economics-related issues, and many economic problems are often defined as integrated into the scope of applied mathematics. This integration results from the formulation of economic problems as stylized models with clear assumptions and falsifiable predictions. This modeling may be informal or prosaic, as it was in Adam Smith 's The Wealth of Nations , or it may be formal, rigorous and mathematical.

Broadly speaking, formal economic models may be classified as stochastic or deterministic and as discrete or continuous. At a practical level, quantitative modeling is applied to many areas of economics and several methodologies have evolved more or less independently of each other. The great appeal of mathematical economics is that it brings a degree of rigor to economic thinking, particularly around charged political topics.

For example, during the discussion of the efficacy of a corporate tax cut for increasing the wages of workers, a simple mathematical model proved beneficial to understanding the issues at hand. As an intellectual exercise, the following problem was posed by Prof.

Greg Mankiw of Harvard University : []. How much will the tax cut increase wages? To answer this question, we follow John H. Cochrane of the Hoover Institution. A corporate tax cut in this model is equivalent to a tax on capital.

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But that only considers the static effect, and we know that the dynamic effect must be accounted for. Moreover, if there are positive externalities to capital accumulation, the effect of the tax cut on wages would be larger than in the model we just derived. It is important to note that the result is a combination of:.

This result showing that, under certain assumptions, a corporate tax cut can boost the wages of workers by more than the lost revenue does not imply that the magnitude is correct. Rather, it suggests a basis for policy analysis that is not grounded in handwaving. If the assumptions are reasonable, then the model is an acceptable approximation of reality; if they are not, then better models should be developed.

The Handbook of Mathematical Economics series Elsevier , currently 4 volumes, distinguishes between mathematical methods in economics , v. In it, a "Subject Index" includes mathematical entries under 2 headings vol. IV, pp. A widely used system in economics that includes mathematical methods on the subject is the JEL classification codes. It originated in the Journal of Economic Literature for classifying new books and articles. The New Palgrave Dictionary of Economics , 2nd ed.

The corresponding footnotes below have links to abstracts of The New Palgrave Online for each JEL category 10 or fewer per page, similar to Google searches. Friedrich Hayek contended that the use of formal techniques projects a scientific exactness that does not appropriately account for informational limitations faced by real economic agents.

In an interview in , the economic historian Robert Heilbroner stated: []. I guess the scientific approach began to penetrate and soon dominate the profession in the past twenty to thirty years. This came about in part because of the "invention" of mathematical analysis of various kinds and, indeed, considerable improvements in it. This is the age in which we have not only more data but more sophisticated use of data.

So there is a strong feeling that this is a data-laden science and a data-laden undertaking, which, by virtue of the sheer numerics, the sheer equations, and the sheer look of a journal page, bears a certain resemblance to science. That one central activity looks scientific. I understand that. I think that is genuine. It approaches being a universal law. But resembling a science is different from being a science. Philosopher Karl Popper discussed the scientific standing of economics in the s and s.

He argued that mathematical economics suffered from being tautological. In other words, insofar as economics became a mathematical theory, mathematical economics ceased to rely on empirical refutation but rather relied on mathematical proofs and disproof. Sharing Popper's concerns about assumptions in economics generally, and not just mathematical economics, Milton Friedman declared that "all assumptions are unrealistic".

Friedman proposed judging economic models by their predictive performance rather than by the match between their assumptions and reality. Considering mathematical economics, J. Keynes wrote in The General Theory : []. It is a great fault of symbolic pseudo-mathematical methods of formalising a system of economic analysis In response to these criticisms, Paul Samuelson argued that mathematics is a language, repeating a thesis of Josiah Willard Gibbs. In economics, the language of mathematics is sometimes necessary for representing substantive problems.

Moreover, mathematical economics has led to conceptual advances in economics. Some economists state that mathematical economics deserves support just like other forms of mathematics, particularly its neighbors in mathematical optimization and mathematical statistics and increasingly in theoretical computer science. Mathematical economics and other mathematical sciences have a history in which theoretical advances have regularly contributed to the reform of the more applied branches of economics.

In particular, following the program of John von Neumann , game theory now provides the foundations for describing much of applied economics, from statistical decision theory as "games against nature" and econometrics to general equilibrium theory and industrial organization. In the last decade, with the rise of the internet, mathematical economists and optimization experts and computer scientists have worked on problems of pricing for on-line services their contributions using mathematics from cooperative game theory, nondifferentiable optimization, and combinatorial games. Robert M.

Solow concluded that mathematical economics was the core " infrastructure " of contemporary economics:. Economics is no longer a fit conversation piece for ladies and gentlemen. It has become a technical subject. Like any technical subject it attracts some people who are more interested in the technique than the subject. That is too bad, but it may be inevitable. In any case, do not kid yourself: the technical core of economics is indispensable infrastructure for the political economy.

That is why, if you consult [a reference in contemporary economics] looking for enlightenment about the world today, you will be led to technical economics, or history, or nothing at all. Prominent mathematical economists include, but are not limited to, the following by century of birth.

From Wikipedia, the free encyclopedia. Part of a series on Economics Index Outline Category.

Working Papers & Publications

History Branches Classification. History of economics Schools of economics Mainstream economics Heterodox economics Economic methodology Economic theory Political economy Microeconomics Macroeconomics International economics Applied economics Mathematical economics Econometrics. Concepts Theory Techniques.

Economic systems Economic growth Market National accounting Experimental economics Computational economics Game theory Operations research. By application. Notable economists. Glossary of economics. Main article: History of economic thought. Main article: Marginalism.

Main articles: Foundations of Economic Analysis and Differential calculus. See also: Pareto efficiency and Walrasian auction. See also: Linear algebra , Linear programming , and Perron—Frobenius theorem. Main article: Input-output model. Main articles: Mathematical optimization and Dual problem.

See also: Convexity in economics and Non-convexity economics.

textbook$ Handbook of Mathematical Economics: Volume 3 (Handbooks in …

Main articles: Linear programming and Simplex algorithm. See also: Calculus of variations , Optimal control , and Dynamic programming. See also: Global analysis , Baire category , and Sard's lemma. Main article: Game Theory. Main article: Agent-based computational economics. Main article: Econometrics. See also: Pure mathematics , Applied mathematics , and Engineering. Charalambos D. Aliprantis R. Allen Maurice Allais Kenneth J. Arrow Robert J.

Blume Graciela Chichilnisky George B. Harsanyi John R. Kreps Harold W. John von Neumann Edward C. Sonnenschein Albert W. Tucker Hirofumi Uzawa Robert B. Wilson Hermann Wold Nicholas C. Yannelis Yuliy Sannikov. Business and economics portal Mathematics portal. Fundamental Methods of Mathematical Economics. McGraw-Hill Irwin.

D'Autume and J. Cartelier, ed. Pre-publication PDF. Retrieved Intriligator, ed. Mathematical Methods for Economists , 3rd ed. Mathematical Economics , 2nd ed. Description and Contents. Elements of Dynamic Optimization , Waveland. Foundations of Economic Analysis. Harvard University Press. Theory of Games and Economic Behavior.

Princeton University Press. Elizabeth B. Schumpeter ed. History of Economic Analysis. New York: Oxford University Press. Roy Read in Section F of the British Association, Stanley The Principles of Political Economy, pp. Birmingham : Economic and Social Research Council. Mainstream Mathermatical Economics in the 20th Century. Links to description and chapters. In Darnell, Adrian C. The History of Economic Thought Website. The New School for Social Research. Archived from the original on Game Theory for Applied Economists.

Archived from the original PDF on April 11, Walras Law Guide. Department of Economics, University of Melbourne. Archived from the original on April 17, Archived from the original on April 30, In Weintraub, Sidney ed. Modern Economic Thought. University of Pennsylvania Press. The Worldly Philosophers Seventh ed. New York: Simon and Schuster. Mathematical Psychics. London: Kegan Paul [A. Oxford: Clarendon Press [Kelly].

In Tucker, A. Contributions to the Theory of Games. Annals of Mathematics. History of Political Economy. October Quarterly of Applied Mathematics. How Economics Became a Mathematical Science. Duke University Press. Description and preview. Intermediate Microeconomics and Its Applications 10th ed. In Backhaus, Juergen G. Hans eds. From Walras to Pareto. American Economic Review. Von Neumann's irreducibility condition was called the "whales and wranglers " hypothesis by David Champernowne, who provided a verbal and economic commentary on the English translation of von Neumann's article.

Von Neumann's hypothesis implied that every economic process used a positive amount of every economic good. Thompson in the s and then by Stephen M. The theory of linear economic models. McGraw-Hill, New York, Mathematical theory of expanding and contracting economies. Lexington Books. Lexington, Massachusetts: D. Heath and Company. Tyrrell Monotone processes of convex and concave type. Memoirs of the American Mathematical Society.

Providence, R. In Josef Loz; Maria Loz eds. Mathematical models in economics Proc. Convex analysis. Thompson , and Nicholas Kaldor. John Von Neumann and modern economics. Interior point algorithms: Theory and analysis. An Outline of the History of Economic Thought.

Optimization in Economic Theory , 2nd ed. Description and contents preview. Feldman Whinston, and Jerry R. Green , Microeconomic Theory , Chapter Description Archived at the Wayback Machine and contents. Samuelson, and Robert M. Solow Linear Programming and Economic Analysis. Chapter-preview links. Proceedings of 2nd Berkeley Symposium. Berkeley: University of California Press.

Nonlinear Programming Second ed.

Series: Handbook of Mathematical Economics

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