Game Theory and Economic Modelling
Author: David M. Kreps
Publisher: Oxford University Press
Published: 1990
Total Pages: 204
ISBN-13: 0198283814
DOWNLOAD EBOOKComprises lectures given at Tel Aviv University and Oxford University in 1990.
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INTRODUCTION TO ECONOMIC MODELING
Author: DIANA LOUBAKI
Publisher: Lulu.com
Published: 2012-08-11
Total Pages: 110
ISBN-13: 1291026932
DOWNLOAD EBOOKThe aim of this book is the development of a universal economic theory. We mean, a theory based on economic problems relate to growth and development. We highlight appropriate analytical tools able to unify economic study of both poor and rich countries. The analysis shows first, it can be established a link between growth and development economics through a well being collective criteria which guarantee a positive evolution of the economic systems over time. Therefore, it becomes possible to control economic paths towards their long run locus. Second, the analysis begins on poverty and under development dilemmas in order to highlight the mechanics which link growth and development. The purpose of the analysis is the rise of standard economic development theory [Hirschman (1958), Rostow (1960), Lewis (1954)] which fall in the mid 1970s [Krugman (1994)] through its introduction in the growth literature which began with Smith (1776
Introduction to Economic Analysis
Author: R. Preston McAfee
Publisher: Orange Grove Texts Plus
Published: 2009-09-24
Total Pages: 0
ISBN-13: 9781616100414
DOWNLOAD EBOOKThis book presents introductory economics material using standard mathematical tools, including calculus. It is designed for a relatively sophisticated undergraduate who has not taken a basic university course in economics. The book can easily serve as an intermediate microeconomics text. The focus of this book is on the conceptual tools. Contents: 1) What is Economics? 2) Supply and Demand. 3) The US Economy. 4) Producer Theory. 5) Consumer Theory. 6) Market Imperfections. 7) Strategic Behavior.
Economic Modeling Using Artificial Intelligence Methods
Author: Tshilidzi Marwala
Publisher: Springer Science & Business Media
Published: 2013-04-02
Total Pages: 271
ISBN-13: 1447150104
DOWNLOAD EBOOKEconomic 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.
Introduction to Estimating Economic Models
Author: Atsushi Maki
Publisher: Taylor & Francis US
Published: 2011
Total Pages: 0
ISBN-13: 9780415589871
DOWNLOAD EBOOKFor beginning econometrics students or practitioners, the book illustrates the application of econometric methods to empirical analysis of economic issues perfectly. Its comprehensive treatment uncovers the missing link between economic theory and econometrics.
Decision Modelling for Health Economic Evaluation
Author: Andrew Briggs
Publisher: OUP Oxford
Published: 2006-08-17
Total Pages: 269
ISBN-13: 0191004952
DOWNLOAD EBOOKIn 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.
Introduction to Computable General Equilibrium Models
Author: Mary E. Burfisher
Publisher: Cambridge University Press
Published: 2016
Total Pages: 443
ISBN-13: 1107132207
DOWNLOAD EBOOKThe book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level.
An Introduction to R for Quantitative Economics
Author: Vikram Dayal
Publisher: Springer
Published: 2015-03-17
Total Pages: 117
ISBN-13: 8132223403
DOWNLOAD EBOOKThis book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
Economic Modeling and Inference
Author: Bent Jesper Christensen
Publisher: Princeton University Press
Published: 2021-07-13
Total Pages: 488
ISBN-13: 1400833108
DOWNLOAD EBOOKEconomic 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
Feedback Economics
Author: Robert Y. Cavana
Publisher: Springer Nature
Published: 2021-06-30
Total Pages: 593
ISBN-13: 3030671909
DOWNLOAD EBOOKThis book approaches economic problems from a systems thinking and feedback perspective. By introducing system dynamics methods (including qualitative and quantitative techniques) and computer simulation models, the respective contributions apply feedback analysis and dynamic simulation modeling to important local, national, and global economics issues and concerns. Topics covered include: an introduction to macro modeling using a system dynamics framework; a system dynamics translation of the Phillips machine; a re-examination of classical economic theories from a feedback perspective; analyses of important social, ecological, and resource issues; the development of a biophysical economics module for global modelling; contributions to monetary and financial economics; analyses of macroeconomic growth, income distribution and alternative theories of well-being; and a re-examination of scenario macro modeling. The contributions also examine the philosophical differences between the economics and system dynamics communities in an effort to bridge existing gaps and compare methods. Many models and other supporting information are provided as online supplementary files. Consequently, the book appeals to students and scholars in economics, as well as to practitioners and policy analysts interested in using systems thinking and system dynamics modeling to understand and improve economic systems around the world. "Clearly, there is much space for more collaboration between the advocates of post-Keynesian economics and system dynamics! More generally, I would like to recommend this book to all scholars and practitioners interested in exploring the interface and synergies between economics, system dynamics, and feedback thinking." Comments in the Foreword by Marc Lavoie, Emeritus Professor, University of Ottawa and University of Sorbonne Paris Nord
