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Economic Models: Methods, Theory And Applications

Author: Dipak R Basu

Publisher: World Scientific

Published: 2009-04-17

Total Pages: 248

ISBN-13: 9814469408

Model Building is the most fruitful area of economics, designed to solve real-world problems using all available methods such as mathematical, computational and analytical, without distinction. Wherever necessary, we should not be reluctant to develop new techniques, whether mathematical or computational. That is the philosophy of this volume.The volume is divided into three distinct parts: Methods, Theory and Applications. The Methods section is in turn subdivided into Mathematical Programming and Econometrics and Adaptive Control System, which are widely used in econometric analysis. The impacts of fiscal policy in a regime with independent monetary authority and dynamic models of environmental taxation are considered.In the section on “Modelling Business Organization”, a model of a Japanese organization is presented. Furthermore, a model suitable for an efficient budget management of a health service unit by applying goal programming method is analyzed, taking into account various socio-economic factors. This is followed by a section on “Modelling National Economies”, in which macroeconometric models for the EU member countries are analyzed, to find instruments that stabilize inflation with coordinated action.

Continuous-Time Econometrics

Author: G. Gandolfo

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 273

ISBN-13: 9401115427

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Continuous-time econometrics is no longer an esoteric subject although most still regard it as such, so much so that it is hardly mentioned in standard textbooks on econometrics. Thanks to the work done in the last 20 years, both the theoretical and the applied side are by now well developed. Methods of estimation have been theoretically elaborated and practically implemented through computer programs. Continuous-time macroeconometric models for different countries have been constructed, estimated and used. Being myself involved in these developments, it was with great pleasure that I accepted the invitation to organize a session on continuous-time econometrics in the context of the International Symposium on Economic Modelling (jointly organized by the University of Urbino and the book series International Studies in Economic Modelling, and co-sponsored by the Consiglio Nazionale delle Ricerche). The reaction of 'continuists' from all over the world was so enthusiastic that I was able to arrange two sessions, one on the theory and the other on the applications. The symposium was held in Urbino on 23-25 July 1990. The papers presented in Urbino have been revised in the light of the discussion at the symposium and the referees' comments. Hence, what is published here should become another standard reference in the field of continuous-time econometrics.

Mathematics and Methodology for Economics

Author: Wolfgang Eichhorn

Publisher: Springer

Published: 2016-02-11

Total Pages: 644

ISBN-13: 331923353X

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This book about mathematics and methodology for economics is the result of the lifelong experience of the authors. It is written for university students as well as for students of applied sciences. This self-contained book does not assume any previous knowledge of high school mathematics and helps understanding the basics of economic theory-building. Starting from set theory it thoroughly discusses linear and non-linear functions, differential equations, difference equations, and all necessary theoretical constructs for building sound economic models. The authors also present a solid introduction to linear optimisation and game theory using production systems. A detailed discussion on market equilibrium, in particular on Nash Equilibrium, and on non-linear optimisation is also provided. Throughout the book the student is well supplied with numerous examples, some 2000 problems and their solutions to apply the knowledge to economic theories and models.

The Methodology of Economic Model Building (Routledge Revivals)

Author: Lawrence A. Boland

Publisher: Routledge

Published: 2014-05-01

Total Pages: 209

ISBN-13: 1317680960

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The major methodological task for modern economists has been to establish the testability of models. Too often, however, methodological assumptions can make a model virtually impossible to test even under ideal conditions, yet few theorists have examined the requirements and problems of assuring testability in economics. In The Methodology of Economic Model Building, first published in 1989, Lawrence Boland presents the results of a research project that spanned more than twenty years. He examines how economists have applied the philosophy of Karl Popper, relating methodological debates about falsifiability to wider discussions about the truth status of models in natural and social sciences. He concludes that model building in economics reflects more the methodological prescriptions of the economist Paul Samuelson than Popper’s ‘falsificationism’. This title will prove invaluable to both students and researchers, and represents a substantial contribution to debates about the scientific status of economics.

Economic Modeling and Inference

Author: Bent Jesper Christensen

Publisher: Princeton University Press

Published: 2009

Total Pages: 508

ISBN-13: 9780691120591

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Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity. Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. Covers identification and estimation of dynamic programming models Treats sources of error--measurement error, random utility, and imperfect control Features financial applications including asset pricing, option pricing, and optimal hedging Describes labor applications including job search, equilibrium search, and retirement Illustrates the wide applicability of the approach using micro, macro, and marketing examples

Economic Modeling Using Artificial Intelligence Methods

Author: Tshilidzi Marwala

Publisher: Springer Science & Business Media

Published: 2013-04-02

Total Pages: 271

ISBN-13: 1447150104

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Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.

Selected Papers Of Lawrence R Klein: Theoretical Reflections And Econometric Applications

Author: Kanta Marwah

Publisher: World Scientific

Published: 1997-06-01

Total Pages: 706

ISBN-13: 9814499234

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This volume contains selected papers of Lawrence R Klein in economics, econometric theory and applications in modeling, forecasting, macroeconomic analysis, international economics and public policy. Nobel Laureate Lawrence Klein's bibliography spans a half-century, including books, articles, and chapters in conference proceedings, festschriften, and thematic books. One such volume of solely scientific collections, mainly from his relatively early articles, has already been published. The present volume is different, it includes some articles, but largely chapters, or book excerpts that were mostly written since 1980, the approximate cut-off date of the prior volume, and the year of his Nobel Prize. Also, it includes things that were published in very limited or obscure editions. Thus it provides a more complete picture of his scholarly career and his current reflections on the state of economic science. All these writings are in the vanguard of thinking about economics in a global domain.The thirty-five-plus selections are organized in five parts, by major themes. An editorial commentary introduces each part. The introductory chapters include Klein's autobiographical research commentary, and his professional life philosophy.

Economic Models and Methodology

Author: Randall G. Holcombe

Publisher: Praeger

Published: 1989-09-26

Total Pages: 232

ISBN-13:

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The world is too complex for anyone to ever hope to understand all of its interrelationships simultaneously. Yet small aspects of the world we live in can be represented by comprehensible models. This is why economists use models in their analysis and research. In Economic Models and Methodology, Holcombe examines the way in which models are used in economics, and makes specific methodological recommendations more restrictive than the methodological doctrine of pluralism. Holcombe's book is not an encyclopedia of methodology, but rather an analysis of mainstream methodology, and an examination of the use of models in economics. Holcombe examines the role of assumptions in models, the use of empirical models in economics, and specific applications of models in both macroeconomics and microeconomics.

System-Theoretic Methods in Economic Modelling I

Author: S. Mittnik

Publisher: Elsevier

Published: 2014-06-28

Total Pages: 194

ISBN-13: 1483296229

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The value of applying system-theoretic concepts to economic modelling problems arises from the fact that it offers a unifying framework for modelling dynamic systems. In addition to offering this powerful conceptual framework, it provides a wide range of tools useful in applied work. System-theoretic techniques enter predominantly two stages of economic modelling efforts: the stage of model construction and the stage of model application in accordance with the modelling. The objective of this and subsequent volumes on System-Theoretic Methods in Economic Modelling I is to initiate and/or intensify dialogues between researchers and practitioners within and across the disciplines involved. This first volume brings together papers exhibiting a wide range of system-theoretic techniques and applications to economic problems. The papers have been divided into two groups, following roughly--but not necessarily--the above classification into the construction and application stages of economic modelling. The papers in the first group focus on the identification of dynamic and static systems, while the papers in the second group address dynamic optimization problems.

The Theory of Linear Economic Models

Author: David Gale

Publisher: University of Chicago Press

Published: 1989-02-10

Total Pages: 353

ISBN-13: 0226278840

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Reprint of the edition of 1960. Gale (math, economics, operations research, U. of Cal. Berkeley) provides a complete and systematic treatment of the topic. Annotation copyrighted by Book News, Inc., Portland, OR