Game Theory and Economic Modelling PDF Download
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Author: David M. Kreps
Publisher: Oxford University Press
ISBN: 0198283814
Category : Mathematics
Languages : en
Pages : 204
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Book Description
Comprises lectures given at Tel Aviv University and Oxford University in 1990.
Author: David M. Kreps
Publisher: Oxford University Press
ISBN: 0198283814
Category : Mathematics
Languages : en
Pages : 204
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Book Description
Comprises lectures given at Tel Aviv University and Oxford University in 1990.
Author: Andrew Briggs
Publisher: OUP Oxford
ISBN: 0191004952
Category : Medical
Languages : en
Pages : 256
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Book Description
In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.
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: 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: 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.
Author: G.I. Treyz
Publisher: Springer Science & Business Media
ISBN: 9401728747
Category : Business & Economics
Languages : en
Pages : 522
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Book Description
Regional economic models are the key to predicting the effects of transportation, economic development, energy, fiscal and environmental policies. Despite this, the principal regional economic policy analysis model used throughout the United States by government agencies, universities, and the private sector has not been presented in a book until now. The approach to building, understanding and using regional models presented in Regional Economic Models: A Systematic Approach to Forecasting and Policy Analysis is progressive. It begins with the simplest possible models and concludes with a full presentation of the leading model used by policy makers today. The full details are presented along with facilitating software, which is made available so that the reader can build a prototype model for any state or country and can perform policy simulations with full operational models for a sample area. Policy studies are discussed that have been carried out with the model, as well as the range of ways in which policies can be tested through policy simulations. The necessary background is developed for understanding the ways in which models can be used to improve the basis upon which policies are evaluated, as well as the sensitivity of the predicted effects to the model chosen for the analysis. The presentation is multifaceted and includes equations, diagrams and numerical examples. The professional literature is integrated with introductory materials to produce the first comprehensive book on regional modeling that extends from economic base models to modeling advances that are currently being published in economic journals.
Author: Martin Drechsler
Publisher: Cambridge University Press
ISBN: 1108493769
Category : Business & Economics
Languages : en
Pages : 315
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Book Description
Presents the state-of-the-art of model-based integration of ecology and economics in the field of biodiversity conservation.
Author: Frank Neal
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 200
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Book Description
Textbook on the theoretics and methodology of economic model construction - discusses the use of the scientific method and creative thinking in the construction of dynamic models (incl. Economic policy models amd econometrics models), etc. One-page bibliography.
Author: M. Beenstock
Publisher: Springer Science & Business Media
ISBN: 9780412367205
Category : Business & Economics
Languages : en
Pages : 274
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Book Description
Econometric Modelling of World Shipping describes an economic model that may be used to forecast world shipping markets. A unique feature of the model is that it relates to both sectors of world shipping, the dry cargo sector and the tanker sector. This is the first time that a model of this type has been published. This book also breaks new ground in explaining the behaviour of vessel prices, both new and secondhand.
Author: Lynne Hamill
Publisher: John Wiley & Sons
ISBN: 1118456076
Category : Social Science
Languages : en
Pages : 256
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Book Description
Agent-based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent-based modelling and shows how it differs from existing approaches. Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models. Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM. Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues. Describes the models in pseudocode, enabling the reader to develop programs in their chosen language. Supported by a website featuring the NetLogo models described in the book. Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.
