Advances in Computational Economics – serie
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40 produkter
40 produkter
Global Warming and Economic Development
A Holistic Approach to International Policy Co-operation and Co-ordination
Inbunden, Engelska, 1993
1 071 kr
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Three questions need to be addressed when discussing the global warming issue. First, is a reduction in carbon dioxide emissions necessary? Second, if the answer is yes, what is the optimal level of CO2 emissions? Third, who should be held responsible for reducing CO2 emissions? This book addresses these three questions by formulating a global economic growth model with links between the economic system and the climate system. With this formulation, feedback effects of climate change on the economic systems are captured endogenously within the model structure. The book should be of interest to those working in the climate change field, as well as for computational economic model builders.
1 103 kr
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It is unlikely that any frontier of economics/econometrics is being pushed further than that of computational techniques. The computer has become a tool for performing, as well as an environment in which to perform economics and econometrics, taking over where theory bogs down, allowing at least approximate answers to questions that defy closed mathematical or analytical solutions. Tasks may now be attempted that were hitherto beyond human potential, and all the forces available can now be marshalled efficiently, leading to the achievement of desired goals. This volume is a collection of recent studies which exemplify all these elements, demonstrating the power that the computer brings to the economic analysts. The book is divided into four parts: 1 - the computer and econometric methods; 2 - the computer and economic analysis; 3 - computational techniques for econometrics; and 4 - the computer and econometric studies.
1 650 kr
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This study brings together a diverse selection of papers, sharing the underlying theme of application of computing technology as a tool for achieving solutions to realistic problems in computational economics and related areas in the environmental, ecological and energy fields. Part I of the volume addresses experimental and computational issues in auction mechanisms, including a survey of recent results for sealed bid auctions. The second contribution uses neural networks as the basis for estimating bid functions for first price sealed bid auctions. Also presented is the "smart market" computational mechanism which better matches bids and offers for natural gas. Part II consists of papers that formulate and solve models of economics systems. Amman and Kendrick's paper deals with control models and the computational difficulties that result from nonconvexities. Using goal programming, Nagurney, Thore and Pan formulate spatial resource allocation models to analyze various policy issues. Thompson and Thrall next present a rigorous mathematical analysis of the relationship between efficiency and profitability.The problem of matching uncertain streams of assets and liabilities is solved using stochastic optimization techniques in the following paper in this section. Finally, Part III applies economic concepts to issues in computer science in addition to using computational techniques to solve economic models.
1 103 kr
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The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. This book presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems. Part 1 of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behaviour of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions. Contributions to Part 2 concern new computational approaches to economic problems. These include an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.
1 602 kr
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This volume contains a selection of papers presented at the first conference of the Society for Computational Economics held at ICC Institute, Austin, Texas, May 21-24, 1995. Twenty-two papers are included in this volume, devoted to applications of computational methods for the empirical analysis of economic and financial systems; the development of computing methodology, including software, related to economics and finance; and the overall impact of developments in computing. The various contributions represented in the volume indicate the growing interest in the topic due to the increased availability of computational concepts and tools and the necessity of analyzing complex decision problems. The papers in this volume are divided into four sections: computational methods in econometrics; computational methods in finance; computational methods for a social environment; and new computational methods.
1 071 kr
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This work presents the available methodologies for the solution of large-scale macroeconometric models. It reviews classical solution methods and introduces more recent techniques, such as parallel computing and nonstationary iterative algorithms. The development of new and more efficient computational techniques has significantly influenced research and practice in macroeconometric modelling. This volume supplies practitioners and researchers with both a general presentation of numerical solution methods and specific discussions about particular problems encountered in the field. Solution techniques for linear and nonlinear systems are reviewed and a graph-theoretical approach to perform this analysis is introduced. A model simulation on parallel computers of large-scale macroeconometric models is also described. Finally, a theoretical framework of rational expectation models is presented.
Price Dynamics in Equilibrium Models
The Search for Equilibrium and the Emergence of Endogenous Fluctuations
Inbunden, Engelska, 2000
1 071 kr
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A long-standing unsolved problem in economic theory is how economic equilibria are attained. This text considers a number of adjustment processes in different economic models and investigates their dynamical behaviour. Two important themes arising in this context are "bounded rationality" and "nonlinear dynamics". An important sub-theme of the book is: how do boundedly rational agents interact with their environment and does this interaction in some sense lead to rational outcomes (which may or may not correspond to equilibria)? A second sub-theme deals with the consequences of the nonlinear dynamical nature of many adjustment processes. The results presented in this volume indicate that endogenous fluctuations are the rule rather than the exception in the search for equilibrium. The book uses the theory of nonlinear dynamics to analyze the dynamics of the different economic models. Due to the complexity of most of the models, an important role is played by computational methods. In particular, at regular instances the models are analyzed by numerical simulations and some computer-assisted proofs are provided. It also covers a wide range of dynamical models from economic theory.Most of these models merge the theory of nonlinear economic dynamics with the theory of bounded rationality. The book is written for anyone with an interest in economic theory in general and bounded rationality and endogenous fluctuations in particular. It is entirely self-contained and accessible to readers with only a limited knowledge of economic theory.
1 602 kr
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This volume on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their discipline. Swarm promotes agent-based computer models as a tool for the study of complex systems. A common language is leading to the growth of user communities in specific areas of application. Furthermore, by providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community. Swarm's principal foundation is an object-oriented representation of active agents interacting among themselves and with their environment. To this base layer it adds its own structures to drive, record and portrait the events that occur across this world.The specific contents of any world, however, are up to the experimenter to provide, either by building them from scratch or by tapping previous contributions. This book assembles a rich array of such contributions, which are significant in their own right, but which can also be mined to extract the reusable elements in their respective areas of finance and economics. It also presents three interesting software additions with tutorials in the form of simple financial and economic applications. A Swarm meta-language closer to a "natural language", the use of internet-augmented Swarm for experimental economics, and a Swarm visual builder will meet the challenges launched by other agent-based modelling competitors. The Swarm community at large can benefit greatly from the lead that the growing field of computational economics is taking to address its own needs, as represented by this book.
Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control
A Promising Combination?
Inbunden, Engelska, 2005
1 103 kr
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One of the major controversies in macroeconomics over the last 30 years has been that on the effectiveness of stabilization policies. However, this debate, between those who believe that this kind of policies is useless if not harmful and those who argue in favor of it, has been mainly theoretical so far.The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control wants to represent a step toward the construction of a common ground on which to empirically compare the two "beliefs" and to do this three strands of literature are brought together. The first strand is the research on time-varying parameters (TVP), the second strand is the work on adaptive control and the third one is the literature on linear stationary models with rational expectations (RE). The material presented in The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control is divided into two parts. Part 1 combines the strand of literature on adaptive control with that on TVP. It generalizes the approach pioneered by Tse and Bar-Shalom (1973) and Kendrick (1981) and one recently used in Amman and Kendrick (2002), where the law of motion of the TVP and the hyperstructural parameters are assumed known, to the case where the hyperstructural parameters are assumed unknown. Part 2 is devoted to the linear single-equation stationary RE model estimated with the error-in-variables (EV) method. It presents a new formulation of this problem based on the use of TVP in an EV model. This new formulation opens the door to a very promising development. All the theory developed in the first part to control a model with TVP can sic et simpliciter be applied to control a model with RE.
Parallel Algorithms for Linear Models
Numerical Methods and Estimation Problems
Inbunden, Engelska, 2000
1 071 kr
Skickas inom 10-15 vardagar
This work provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems. The monograph is in two parts. The first part consists of four chapters and deals with the computational aspects for solving linear models that have applicability in diverse areas. The remaining two chapters form the second part, which concentrates on numerical and computational methods for solving various problems associated with seemingly unrelated regression equations (SURE) and simultaneous equations models. The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods should be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra.The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism.
Observers and Macroeconomic Systems
Computation of Policy Trajectories with Separate Model Based Control
Inbunden, Engelska, 1998
2 134 kr
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This volume is concerned with the computational aspects of using a control-theoretic approach to the analysis of dynamic macroeconomic systems. The focus is on using a separate model for the development of the control policies. In particular, it uses the observer-based approach whereby the separate model learns to behave in a similar manner to the economic system through output-injections. The book shows how this approach can be used to learn the forward-looking behaviour of economic actors which is a distinguishing feature of dynamic macroeconomic models. It also shows how it can be used in conjunction with low-order models to undertake policy analysis with a large practical econometric model. This overcomes some of the computational problems arising from using just the large econometric models to compute optimal policy trajectories. The work also develops visual simulation software tools that can be used for policy analysis with dynamic macroeconomic systems.
1 602 kr
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Technological, economic, and regulatory changes are some of the driving forces in the modern world of finance. For instance, financial markets now trade 24 hours a day and securities are increasingly being traded via real-time computer-based systems in contrast to trading floor-based systems. Equally important, new security forms and pricing models are coming into existence in response to changes in domestic and international regulatory action. Accounting and risk management systems now enable financial and investment firms to manage risk more efficiently while meeting regulatory concerns. The challenge for academics and practitioners alike is how to keep themselves, and others, current with these changing markets, as well as the technology and current investment and risk management tools. This text offers presentations by 12 investment professionals and academics on a range of finance, investment and banking issues. Chapters include analysis of the basic foundations of financial analysis, as well as current approaches to managing risk.Presentations also include reviews of the means of measuring the volatility of the underlying return process and how investment performance measurement can be used to better understand the benefits of active management. Finally, articles also present advances in the pricing of the new financial assets (e.g., swaps), as well as the understanding of the factors (e.g., earnings estimates) affecting pricing of the traditional assets (e.g., stocks). This book provides information of both traditional and modern approaches to financial and investment management.
3 517 kr
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The second and revised edition of Network Economics: A Variational Inequality Approach provides an updated treatment of network economics through the inclusion of new theoretical results and new applications, as well as problems for self-study purposes and/or for use in the classroom. This volume remains true to the first edition in that it provides a unified treatment of finite-dimensional variational inequalities, algorithms, and applications. Physical networks are pervasive in today's society in the form of transportation networks, telecommunication networks, energy networks, and financial networks, whereas mathematical networks provide a mechanism for studying a plethora of economic equilibrium problems through a common graphic structure. Network Economics establishes the connections among economic equilibrium problems through their network structure and demonstrates how the structure can then be used to address policy interventions, as well as to construct efficient numerical schemes for the computation of equilibria.The network framework provides not only a mechanism for the graphic representation of economic problems and a means for visualizing their similarities and differences, but, in addition, a novel theoretical approach. Problems treated include: congested transportation systems, oligopolistic market equilibrium problems, problems of human migration, and general financial and economic equilibrium problems. New applications covered in this second edition include environmental networks and knowledge networks.
2 134 kr
Skickas inom 10-15 vardagar
This publication offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition.
1 602 kr
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Macroeconomic modelling has undergone radical changes in the last few years of the 20th century. There has been considerable innovation in developing robust solution techniques for the new breed of increasingly complex models. Similarly there has been a growing consensus on their long run and dynamic properties, as well as much development on existing themes such as modelling expectations and policy rules. This edited volume focuses on those areas which have undergone the most significant and imaginative developments and brings together the best of modelling practice. Included are specific sections on: (I) Solving Large Macroeconomic Models; (II) Rational Expectations and Learning Approaches; (III) Macro Dynamics; and (IV) Long Run and Closures. All of the contributions put their developments in context. The text should be of interest to those in policy institutions as well as academics and advanced students in the fields of economics, mathematics, business and government.
Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming
Inbunden, Engelska, 2000
1 602 kr
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Computer simulations of economic systems are slowly gaining ground within the economic profession. However, such a process is hindered by a lack of communication among researchers who do not share a common language. For its object-oriented structure and its versatility, Swarm has the necessary characteristics to become a credible universal language of agent-based simulations. This text collects a series of original articles in such domains as macro and micro economics, industrial organization, monetary theory, and finance, all linked by a common denominator: the use of the Swarm simulation platform. 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 provides a tutorial to the use of these software libraries developed at the Santa Fe Institute as part of the ongoing research into complexity. The editors conceived the idea of this book while visiting the Santa Fe Institute as members of the "Working Group on Adaptive and Computable Economics".
1 602 kr
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Agent-Based Computer Simulation of Dichotomous Economic Growth reports a project in agent-based computer stimulation of processes of economic growth in a population of boundedly rational learning agents. The study is an exercise in comparative simulation. That is, the same family of growth models will be simulated under different assumptions about the nature of the learning process and details of the production and growth processes. The purpose of this procedure is to establish a relationship between the assumptions and the simulation results. The study brings together a number of theoretical and technical developments, only some of which may be familiar to any particular reader. In this first chapter, some issues in economic growth are reviewed and the objectives of the study are outlined. In the second chapter, the simulation techniques are introduced and illustrated with baseline simulations of boundedly rational learning processes that do not involve the complications of dealing with long-run economic growth. The third chapter sketches the consensus modern theory of economic growth which is the starting point for further study. In the fourth chapter, a family of steady growth models are simulated, bringing the simulation, growth and learning aspects of the study together. In subsequent chapters, variants on the growth model are explored in a similar way. The ninth chapter introduces trade, with a spacial trading model that is combined with the growth model in the tenth chapter. The book returns again and again to the key question: to what extent can the simulations `explain' the puzzles of economic growth, and particularly the key puzzle of dichotomization, by constructing growth and learning processes that produce the puzzling results? And just what assumptions of the simulations are most predictable associated with the puzzling results?
857 kr
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The increasing complexity of economic problems, coupled with advances in numerical methods and computer architectures, have stimulated the growth and interest in computational economics. Accompanying this activity is the need for the unification, documentation and presentation of fundamental methodologies for use by researchers and practitioners. "Network Economics: A Variational Inequality Approach" makes a contribution in this direction by providing a treatment of the theory of finite-dimensional variational inequalities, algorithms and applications. The focus of the volume is on network economics. Physical networks are pervasive in today's society in the form of transportation network, energy networks, financial networks, whereas mathematical networks provide a mechanism for studying a plethora of economic equilibirum problems through a common graphic structure. "Network Economics" establishes the connections among economic equilibrium problems through their network structure and demonstrates how the structure can then be used to address policy interventions, as well as to construct efficient numerical schemes for the computation of equilibria.The network framework provides not only a mechanism for the graphic representation of economic problems and a means for visualizing their similarities and differences, but in addition, a novel theoretical approach. Problems treated include congested transportation systems, oligopolistic market equilibrium problems, problems, of human migration and general financial equilibrium problems.
1 602 kr
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The developments within the computationally and numerically-oriented areas of operations research - finance, statistics and economics - were significant over the last decades of the 20th century. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization between them. This volume contains a collection of invited, peer-reviewed papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a wide range of relevant topics, with each article written from a personal, explorative perspective that invites the reader to discover new approaches to solving old problems. In the long term, it is hoped that this volume will facilitate cross-fertilization among the computational fields.
1 650 kr
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This volume contains a selection of papers presented at the first conference of the Society for Computational Economics held at ICC Institute, Austin, Texas, May 21-24, 1995. Twenty-two papers are included in this volume, devoted to applications of computational methods for the empirical analysis of economic and financial systems; the development of computing methodology, including software, related to economics and finance; and the overall impact of developments in computing. The various contributions represented in the volume indicate the growing interest in the topic due to the increased availability of computational concepts and tools and the necessity of analyzing complex decision problems. The papers in this volume are divided into four sections: Computational methods in econometrics, Computational methods in finance, Computational methods for a social environment and New computational methods.GBP/LISTGBP
1 103 kr
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The purpose of this book is to present the available methodologies for the solution of large-scale macroeconometric models. This work reviews classical solution methods and introduces more recent techniques, such as parallel computing and nonstationary iterative algorithms. The development of new and more efficient computational techniques has significantly influenced research and practice in macroeconometric modeling. This volume supplies practitioners and researchers with both a general presentation of numerical solution methods and specific discussions about particular problems encountered in the field. The work is organized into five chapters. Solution techniques for linear and nonlinear systems are reviewed and a graph-theoretical approach to perform this analysis is introduced. A model simulation on parallel computers of large-scale macroeconometric models is also described. Finally, a theoretical framework of rational expectation models is presented.
1 650 kr
Skickas inom 10-15 vardagar
Technological, economic, and regulatory changes are some of the driving forces in the modern world of finance. For instance, financial markets now trade twenty-four hours a day and securities are increasingly being traded via real-time computer-based systems in contrast to trading floor-based systems. Equally important, new security forms and pricing models are coming into existence in response to changes in domestic and international regulatory action. Accounting and risk management systems now enable financial and investment firms to manage risk more efficiently while meeting regulatory concerns. The challenge for academics and practitioners alike is how to keep themselves, and others, current with these changing markets, as well as the technology and current investment and risk management tools. Applications in Finance, Investments, and Banking offers presentations by twelve leading investment professionals and academics on a wide range of finance, investment and banking issues. Chapters include analysis of the basic foundations of financial analysis, as well as current approaches to managing risk.Presentations also include reviews of the means of measuring the volatility of the underlying return process and how investment performance measurement can be used to better understand the benefits of active management. Finally, articles also present advances in the pricing of the new financial assets (e.g., swaps), as well as the understanding of the factors (e.g., earnings estimates) affecting pricing of the traditional assets (e.g., stocks). Applications in Finance, Investments, and Banking provides beneficial information to the understanding of both traditional and modern approaches of financial and investment management.
3 293 kr
Skickas inom 10-15 vardagar
The second and revised edition of Network Economics: A Variational Inequality Approach provides an updated treatment of network economics through the inclusion of new theoretical results and new applications, as well as problems for self-study purposes and/or for use in the classroom. This volume remains true to the first edition in that it provides a unified treatment of finite-dimensional variational inequalities, algorithms, and applications. Physical networks are pervasive in today's society in the form of transportation networks, telecommunication networks, energy networks, and financial networks, whereas mathematical networks provide a mechanism for studying a plethora of economic equilibrium problems through a common graphic structure. Network Economics establishes the connections among economic equilibrium problems through their network structure and demonstrates how the structure can then be used to address policy interventions, as well as to construct efficient numerical schemes for the computation of equilibria.The network framework provides not only a mechanism for the graphic representation of economic problems and a means for visualizing their similarities and differences, but, in addition, a novel theoretical approach. Problems treated include: congested transportation systems, oligopolistic market equilibrium problems, problems of human migration, and general financial and economic equilibrium problems. New applications covered in this second edition include environmental networks and knowledge networks.
1 650 kr
Skickas inom 10-15 vardagar
This second book on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their disci pline. It is encouraging to see such a clear example of Swarm helping to foster a community of users who rely on the Swarm framework for their own analyses. Swarm aims at legitimizing agent-based computer models as a tool for the study of complex systems. A further goal is that a common base framework will lead to the growth of user communities in specific areas of application. By providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community.
1 602 kr
Skickas inom 10-15 vardagar
The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.
Price Dynamics in Equilibrium Models
The Search for Equilibrium and the Emergence of Endogenous Fluctuations
Häftad, Engelska, 2012
1 103 kr
Skickas inom 10-15 vardagar
A long-standing unsolved problem in economic theory is how economic equilibria are attained. Price Dynamics in Equilibrium Models: The Search for Equilibrium and the Emergence of Endogenous Fluctuations considers a number of adjustment processes in different economic models and investigates their dynamical behaviour. Two important themes arising in this context are `bounded rationality' and `nonlinear dynamics'.Important sub-themes of the book are the following: how do boundedly rational agents interact with their environment and does this interaction in some sense lead to rational outcomes (which may or may not correspond to equilibria)? The second sub-theme deals with the consequences of the nonlinear dynamical nature of many adjustment processes. The results presented in this volume indicate that endogenous fluctuations are the rule rather than the exception in the search for equilibrium.The book uses the theory of nonlinear dynamics to analyze the dynamics of the different economic models. Due to the complexity of most of the models, an important role is played by computational methods. In particular, at regular instances the models are analyzed by numerical simulations and some computer-assisted proofs are provided. It also covers a wide range of dynamical models from economic theory. Most of these models merge the theory of nonlinear economic dynamics with the theory of bounded rationality. The book is written for anyone with an interest in economic theory in general and bounded rationality and endogenous fluctuations in particular. It is entirely self-contained and accessible to readers with only a limited knowledge of economic theory.
Parallel Algorithms for Linear Models
Numerical Methods and Estimation Problems
Häftad, Engelska, 2012
1 071 kr
Skickas inom 10-15 vardagar
Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems. The monograph is in two parts. The first part consists of four chapters and deals with the computational aspects for solving linear models that have applicability in diverse areas. The remaining two chapters form the second part, which concentrates on numerical and computational methods for solving various problems associated with seemingly unrelated regression equations (SURE) and simultaneous equations models. The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism.
1 650 kr
Skickas inom 10-15 vardagar
Agent-Based Computer Simulation of Dichotomous Economic Growth reports a project in agent-based computer stimulation of processes of economic growth in a population of boundedly rational learning agents. The study is an exercise in comparative simulation. That is, the same family of growth models will be simulated under different assumptions about the nature of the learning process and details of the production and growth processes. The purpose of this procedure is to establish a relationship between the assumptions and the simulation results. The study brings together a number of theoretical and technical developments, only some of which may be familiar to any particular reader. In this first chapter, some issues in economic growth are reviewed and the objectives of the study are outlined. In the second chapter, the simulation techniques are introduced and illustrated with baseline simulations of boundedly rational learning processes that do not involve the complications of dealing with long-run economic growth. The third chapter sketches the consensus modern theory of economic growth which is the starting point for further study. In the fourth chapter, a family of steady growth models are simulated, bringing the simulation, growth and learning aspects of the study together. In subsequent chapters, variants on the growth model are explored in a similar way. The ninth chapter introduces trade, with a spacial trading model that is combined with the growth model in the tenth chapter. The book returns again and again to the key question: to what extent can the simulations `explain' the puzzles of economic growth, and particularly the key puzzle of dichotomization, by constructing growth and learning processes that produce the puzzling results? And just what assumptions of the simulations are most predictable associated with the puzzling results?
Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming
Häftad, Engelska, 2012
1 650 kr
Skickas inom 10-15 vardagar
Computer simulations of economic systems are slowly gaining ground within the economic profession. However, such a process is hindered by a lack of communication among researchers who do not share a common language. For its object-oriented structure and its versatility, Swarm has the necessary characteristics to become a credible universal language of agent-based simulations. Economic Simulations in Swarm collects a series of original articles in such domains as macro and micro economics, industrial organization, monetary theory, and finance, all linked by a common denominator: the use of the Swarm simulation platform. 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. The editors conceived the idea of this book while visiting the Santa Fe Institute as members of the `Working Group on Adaptive and Computable Economics'. Francesco Luna is a specialist in Computable Economics, and Benedikt Stefansson is an active contributor to the Swarm community.
2 198 kr
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Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning.