Special Double Issue: Algorithms and Economic Dynamics PDF Download
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Author: K. L. Judd
Publisher:
ISBN:
Category :
Languages : en
Pages : 350
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Book Description
Author: K. L. Judd
Publisher:
ISBN:
Category :
Languages : en
Pages : 350
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Book Description
Author: Peter N. Ireland
Publisher:
ISBN:
Category :
Languages : en
Pages : 250
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Book Description
Author: Volker Wieland
Publisher:
ISBN:
Category :
Languages : en
Pages : 394
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Book Description
Author: Volker Wieland
Publisher:
ISBN:
Category :
Languages : en
Pages : 392
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Book Description
Author: Peter Nathan Ireland
Publisher:
ISBN:
Category : Economics, Mathematical
Languages : en
Pages : 252
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Book Description
Author: Sean Holly
Publisher:
ISBN:
Category :
Languages : en
Pages : 279
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Book Description
Author: John Stachurski
Publisher: MIT Press
ISBN: 0262544776
Category : Business & Economics
Languages : en
Pages : 395
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Book Description
The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field. New for the second edition: “Programming-language agnostic” presentation using pseudocode. New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability. New focus in chapter 2 on algorithms and techniques for program design and high-performance computing. New focus on household problems rather than optimal growth in material on dynamic programming. Solutions to many exercises, code, and other resources available on a supplementary website.
Author: Ragupathy Venkatachalam
Publisher: Springer Nature
ISBN: 3031152948
Category : Science
Languages : en
Pages : 331
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Book Description
This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.
Author: Kenneth L. Judd
Publisher:
ISBN:
Category :
Languages : en
Pages : 350
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Book Description
Author: Nancy L. Stokey
Publisher: Harvard University Press
ISBN: 0674735188
Category : Business & Economics
Languages : en
Pages : 607
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Book Description
This rigorous but brilliantly lucid book presents a self-contained treatment of modern economic dynamics. Stokey, Lucas, and Prescott develop the basic methods of recursive analysis and illustrate the many areas where they can usefully be applied.
