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Author: Wendy Carlin
Publisher: Oxford University Press
ISBN: 0198838662
Category :
Languages : en
Pages : 1019
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Book Description
At the cutting edge of the subject area, the authors bring the macroeconomics that researchers and policymakers use today into focus. By developing a coherent set of tractable models, the book enables students to explore and make sense of the pressing questions facing global economies.Carlin and Soskice connect students with contemporary research and policy in macroeconomics. The authors' 3-equation model - extended to include the financial system and with an integrated treatment of inequality - equips students with a method they can apply to the enduring challenges stirred by the financial crisis and the Great Recession.Key features* Engaged with the latest developments in macroeconomic research, policy, and debate, the authors make the cutting edge accessible to undergraduate readers* The theme of inequality is integrated throughout in modelling and applications, with incomplete contracts in labour and credit markets underpinning the presence of involuntary unemployment and credit constraints* The content distils business cycles into a 3-equation model of the demand side, the supply side, and the policy maker, providing a realistic and transparent model which students can deploy to address the questions that interest them* Open economy modelling for both flexible and fixed exchange rate regimes builds on the same foundations and handles oil and climate shocks, as well as the Eurozone crisis* Features thorough treatment of the financial system and how to integrate the financial and business cycles, including coverage on policy design and implementation for financial stability in the wake of the 2008-9 financial crisis and an exploration of hysteresis in the context of the Great Recession* Comprehensive coverage of monetary policy including the ample reserves regime and of fiscal policy and debt dynamics* Unified treatment of exogenous and endogenous growth models emphasizing the different mechanisms through which diminishing returns to capital can be offset, while Chapter 17 on the ICT revolution examines the implications of innovation and technological change on the future of work and inequality* Contains a chapter considering contemporary quantitative macroeconomics research - including the Heterogeneous Agent New Keynesian (HANK) model - exposing students to the tools that researchers currently use, as well as the benefits and limitations of these methods* End-of-chapter 'Checklist questions' enable students to assess their comprehension, while 'Problems' prompt students to apply independent critical thought* Also available as an e-book enhanced with access to The Macroeconomic Simulator, Animated Analytical Diagrams, and self-assessment activities enabling students to recap content and investigate how models work at their own paceDigital formats and resourcesThis title is available for students and institutions to purchase in a variety of formats and is supported by online resources.The e-book offers a mobile experience and convenient access along with self-assessment activities, multi-media content, and links that offer extra learning support. For more information visit:www.oxfordtextbooks.co.uk/ebooks/This title is supported by a range of online resource for students including multiple-choice-questions with instant feedback, interactive Animated Analytical Diagrams, access to The Macroeconomic Simulator, web appendices which develop chapters 1, 4, 7, and 18, In addition, lecturers can access PowerPoint slides to accompany each chapter and answers to the problems and questions set in the book.
Author: Wendy Carlin
Publisher: Oxford University Press
ISBN: 0198838662
Category :
Languages : en
Pages : 1019
Get Book Here
Book Description
At the cutting edge of the subject area, the authors bring the macroeconomics that researchers and policymakers use today into focus. By developing a coherent set of tractable models, the book enables students to explore and make sense of the pressing questions facing global economies.Carlin and Soskice connect students with contemporary research and policy in macroeconomics. The authors' 3-equation model - extended to include the financial system and with an integrated treatment of inequality - equips students with a method they can apply to the enduring challenges stirred by the financial crisis and the Great Recession.Key features* Engaged with the latest developments in macroeconomic research, policy, and debate, the authors make the cutting edge accessible to undergraduate readers* The theme of inequality is integrated throughout in modelling and applications, with incomplete contracts in labour and credit markets underpinning the presence of involuntary unemployment and credit constraints* The content distils business cycles into a 3-equation model of the demand side, the supply side, and the policy maker, providing a realistic and transparent model which students can deploy to address the questions that interest them* Open economy modelling for both flexible and fixed exchange rate regimes builds on the same foundations and handles oil and climate shocks, as well as the Eurozone crisis* Features thorough treatment of the financial system and how to integrate the financial and business cycles, including coverage on policy design and implementation for financial stability in the wake of the 2008-9 financial crisis and an exploration of hysteresis in the context of the Great Recession* Comprehensive coverage of monetary policy including the ample reserves regime and of fiscal policy and debt dynamics* Unified treatment of exogenous and endogenous growth models emphasizing the different mechanisms through which diminishing returns to capital can be offset, while Chapter 17 on the ICT revolution examines the implications of innovation and technological change on the future of work and inequality* Contains a chapter considering contemporary quantitative macroeconomics research - including the Heterogeneous Agent New Keynesian (HANK) model - exposing students to the tools that researchers currently use, as well as the benefits and limitations of these methods* End-of-chapter 'Checklist questions' enable students to assess their comprehension, while 'Problems' prompt students to apply independent critical thought* Also available as an e-book enhanced with access to The Macroeconomic Simulator, Animated Analytical Diagrams, and self-assessment activities enabling students to recap content and investigate how models work at their own paceDigital formats and resourcesThis title is available for students and institutions to purchase in a variety of formats and is supported by online resources.The e-book offers a mobile experience and convenient access along with self-assessment activities, multi-media content, and links that offer extra learning support. For more information visit:www.oxfordtextbooks.co.uk/ebooks/This title is supported by a range of online resource for students including multiple-choice-questions with instant feedback, interactive Animated Analytical Diagrams, access to The Macroeconomic Simulator, web appendices which develop chapters 1, 4, 7, and 18, In addition, lecturers can access PowerPoint slides to accompany each chapter and answers to the problems and questions set in the book.
Author: Thomas H. Naylor
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
Describes methodology for formulation of various economic models and scientific management models, and covers validation, experimental design, data analysis of variance, sequential sampling, spectral analysis, variance reduction, statistical analysis, rules governing sample sizes, simulation languages, etc.
Author: Robert Y. Cavana
Publisher: Springer Nature
ISBN: 3030671909
Category : Business & Economics
Languages : en
Pages : 598
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Book Description
This 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
Author: Constantin Volosencu
Publisher: BoD – Books on Demand
ISBN: 1839696834
Category : Computers
Languages : en
Pages : 268
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Book Description
The book presents some recent specialized works of a theoretical and practical nature in the field of simulation modeling, which is being addressed to a large number of specialists, mathematicians, doctors, engineers, economists, professors, and students. The book comprises 11 chapters that promote modern mathematical algorithms and simulation modeling techniques, in practical applications, in the following thematic areas: mathematics, biomedicine, systems of systems, materials science and engineering, energy systems, and economics. This project presents scientific papers and applications that emphasize the capabilities of simulation modeling methods, helping readers to understand the phenomena that take place in the real world, the conditions of their development, and their effects, at a high scientific and technical level. The authors have published work examples and case studies that resulted from their researches in the field. The readers get new solutions and answers to questions related to the emerging applications of simulation modeling and their advantages.
Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399
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Book Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Author: Francesco Luna
Publisher: Springer Science & Business Media
ISBN: 9780792386650
Category : Business & Economics
Languages : en
Pages : 336
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Book Description
"Swarm, a standard set of program libraries, allows users to construct simulations where a collection of heterogeneous independent agents or elements interact through discrete events. This volume offers the first extensive tutorial to the use of these software libraries developed at the Santa Fe Institute as part of the ongoing research into complexity."--BOOK JACKET.
Author: Gilbert, Nigel
Publisher: McGraw-Hill Education (UK)
ISBN: 0335216005
Category : Social Science
Languages : en
Pages : 309
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Book Description
Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)
Author: Bent Jesper Christensen
Publisher: Princeton University Press
ISBN: 9780691120591
Category : Business & Economics
Languages : en
Pages : 508
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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: John Haldi
Publisher:
ISBN:
Category : Marketing research
Languages : en
Pages : 194
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Book Description
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.
