Computational economic systems

models, methods & econometrics

Publisher: Kluwer Academic Publishers in Boston, MA

Written in English
Cover of: Computational economic systems |
Published: Pages: 282 Downloads: 241
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Subjects:

  • Econometric models -- Congresses.,
  • Econometrics -- Congresses.

Edition Notes

Statementedited by Manfred Gilli.
SeriesAdvances in computational economics ;, v. 5
ContributionsGilli, Manfred, 1942-, IFAC-Meeting on "Computational Methods in Economics and Finance" (1994 : Amsterdam, Netherlands)
Classifications
LC ClassificationsHB141 .C624 1996
The Physical Object
Paginationx, 282 p. :
Number of Pages282
ID Numbers
Open LibraryOL809809M
ISBN 100792338693
LC Control Number95046632

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing. Computational sciences provide the scientific foundations for making sense of natural, human-mediated and social phenomena through analytics, computational methods and modeling. In an age of ubiquitous — often overwhelming — data, the ability to harness that data to reflect, reach out and make better decisions is increasingly crucial. Economic Dynamics. This is the homepage for Economic Dynamics: Theory and Computation, a graduate level introduction to deterministic and stochastic dynamics, dynamic programming and computational methods with economic applications. About the Book. The topics covered in the book are fairly similar to those found in “Recursive Methods in Economic Dynamics” by Nancy Stokey and . The book progresses from comparatively straightforward fashions to additional difficult ones, and consists of appendices on the ins and outs of working each program. The book is supposed for use by superior undergraduates and professional economists and even, as a main publicity to computational economics, by graduate school college students.

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Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance.

The authors employ various software systems — including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access — to enable students to use.

Computational economics is a research discipline at the interface of computer science, economics, and management science. This subject encompasses computational modeling of economic systems, whether agent-based, general-equilibrium, macroeconomic, or rational-expectations, computational econometrics and statistics, computational finance.

Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance.

The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most. About the Book This is a new book (to be published by Cambridge University Press) about economics and computation, covering topics that are motivated by the consideration of economic incentives within computational systems and by computational considerations in economic systems.

ISBN: OCLC Number: Notes: "Papers presented at the IFAC-Meeting on 'Computational Methods in Economics and Finance' organized by Hans Amman and Berç Rustem in June in Amsterdam"--Preface.

Author(s)/Editor(s) Biography Biliana Alexandrova-Kabadjova obtained her Ph.D. and Master degree in Computational Finance from the Centre for Computational Finance and Economic Agents and the Department of Computer Science in the University of Essex, UK (, ).

She works in the Mexican Central Bank as a payment analyst. Nowadays she is permanent member of the. Read the latest chapters of Handbook of Computational Economics atElsevier’s leading platform of peer-reviewed scholarly literature.

Ken Judd's Numerical Methods in Economics is a classic reference. It provides a thorough grounding in the basic theory of numerically approximating dynamic models in macroeconomics and game theory. It also does a good job glossing the results fr. Computational Economics and Economic Theory: Substitutes or Complements.

Kenneth L. Judd Janu ∗ Abstract. This essay examines the idea and potential of a ficompu-tational approach to theory,fl discusses methodological issues raised by such computational methods, and outlines the problems associated with the dissem. Computational Economic Analysis for Engineering and Industry - CRC Press Book Recent global anxiety indicates that more focus needs to be directed at economic issues related to industry.

Conventional techniques often do not adequately embrace the integrated global factors that affect unique industries and industry focused computational tools. Get this from a library. Computational Economic Systems: Models, Methods & Econometrics. [Manfred Gilli] -- The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques.

Computational Economic Systems. Agent-based computational economics (ACE) is the area of computational economics that studies economic processes, including whole economies, as dynamic systems of interacting such, it falls in the paradigm of complex adaptive systems.

In corresponding agent-based models, the "agents" are "computational objects modeled as interacting according to rules" over space and time, not real.

Purchase Computational Economics: Heterogeneous Agent Modeling - 1st Edition. Print Book & E-Book. ISBN  Of course, we often overlook the computational nature of economic activities, but making a sandwich, sorting socks, building a house, or writing a book Author: Cesar A. Hidalgo.

The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.

Researchers are increasingly turning to computational methods to study the dynamic properties of political and economic systems.

Politicians, citizens, interest groups, and organizations interact in dynamic, complex environments, and the static models that are. Computational Systems Biology: Inference and Modelling.

provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network.

Computational economics is a field of economic study at the intersection of computer science, economics and management science. The main focus of is the integration of information (IT) into economics and the automation of formerly manual processes. This book presents an introduction to computational macroeconomics, using a new approach to the study of dynamic macroeconomic models.

It solves a variety of models in discrete time numerically, using a Microsoft Excel spreadsheet as a computer tool. The solved models include dynamic macroeconomic models with rational expectations, both non-microfounded and microfounded, constituting a novel.

New Directions in Computational Economics brings together for the first time 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. Recent global anxiety indicates that more focus needs to be directed at economic issues related to industry.

Conventional techniques often do not adequately embrace the integrated global factors that affect unique industries and industry focused computational tools have not been readily available.

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The use of innovative computational models in political economic research as a complement to traditional analytical methodologies. Researchers are increasingly turning to computational methods to study the dynamic properties of political and economic systems.3/5(3).

How to use nonlinear dynamic models in policy analysis. Policymakers need quantitative as well as qualitative answers to pressing policy questions.

Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying measures of risk and calibrated to capture specific characteristics of real-world situations. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their other computational economics textbooks, this book.

"The use of computational, especially agent-based, models has already shown its value in illuminating the study of economic and other social processes. Miller and Page have written an orientation to this field that is a model of motivation and insight, making clear the underlying thinking and illustrating it by varied and thoughtful examples.

Journal of Economic Dynamics and Cont no. 2 (): – More on Experimental-Computational Complementarities Contini, Bruno, Roberto Leombruni, and Matteo Richiardi. “Exploring a New ExpAce: The Complementarities between Experimental Economics and Agent based Computational Economics.” Journal of Social Complexity 3, no.

1 ().The book is relatively domain independent, covering 'social' systems from economic and political sciences to biology. Accessible to a wide audience, although the field has developed significantly over the last decade, although this book still acts as a good primer and introduction to the field.4/5(30).Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation.