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Author: Lawrence A. Boland
Publisher: Routledge
ISBN: 1317680960
Category : Business & Economics
Languages : en
Pages : 209
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Book Description
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.
Author: Lawrence A. Boland
Publisher: Routledge
ISBN: 1317680960
Category : Business & Economics
Languages : en
Pages : 209
Get Book Here
Book Description
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.
Author: Dipak R. Basu
Publisher: World Scientific
ISBN: 9812836454
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
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.
Author: Randall G. Holcombe
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
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.
Author: Dipak R Basu
Publisher: World Scientific
ISBN: 9814469408
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
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.
Author: Bent Jesper Christensen
Publisher: Princeton University Press
ISBN: 1400833108
Category : Business & Economics
Languages : en
Pages : 488
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Book Description
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
Author: Lawrence A. Boland
Publisher:
ISBN: 9780415064620
Category : Business & Economics
Languages : en
Pages : 194
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Book Description
Model building has been the backbone of modern economic theory over the last 25 years, and the major methodological task for each model builder has been to establish the testability of each model developed. Too often, though, seemingly innocent modelling assumptions can make a model virtually impossible to test, even under ideal conditions, yet few economic theorists have examined the methodological requirements and problems of assuring testability in economics. Lawrence Boland considers how economists have applied Popper's views on the need for error-detection and testability theories in science. The methodological debates these theories have inspired are related to wider debates on empiricism and the truth status of models in the natural and social sciences. He concludes by arguing that the practice of model building in economics reflects the methodological prescriptions of Samuelson more than the falsification theory usually attributed to Popper.
Author: Donald W. Katzner
Publisher: Cambridge University Press
ISBN: 1108418775
Category : Business & Economics
Languages : en
Pages : 261
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Book Description
This book provides a practitioner's foundation for the process of explanatory model building, breaking down that process into five stages. Donald W. Katzner presents a concrete example with unquantified variable values to show how the five-stage procedure works. He describes what is involved in explanatory model building for those interested in this practice, while simultaneously providing a guide for those actually engaged in it. The combination of Katzner's focus on modeling and on mathematics, along with his focus on the explanatory performance of modeling, promises to become an important contribution to the field.
Author: Dani Rodrik
Publisher: Oxford University Press, USA
ISBN: 0198736894
Category : Business & Economics
Languages : en
Pages : 268
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Book Description
A leading economist trains a lens on his own discipline to uncover when it fails and when it works.
Author: David Gale
Publisher: University of Chicago Press
ISBN: 0226278840
Category : Business & Economics
Languages : en
Pages : 353
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Book Description
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
Author: Tshilidzi Marwala
Publisher: Springer Science & Business Media
ISBN: 1447150104
Category : Computers
Languages : en
Pages : 271
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Book Description
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.
