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Table of contents (11 chapters)
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Experimental and Computational Methods for Auction Mechanisms
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Modeling Computational Economic Systems
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Economic Modeling and Computational Systems
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: New Directions in Computational Economics
Editors: W. W. Cooper, A. B. Whinston
Series Title: Advances in Computational Economics
DOI: https://doi.org/10.1007/978-94-011-0770-9
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers and copyright holders 1994
Hardcover ISBN: 978-0-7923-2539-0Published: 31 July 1994
Softcover ISBN: 978-94-010-4330-4Published: 26 November 2012
eBook ISBN: 978-94-011-0770-9Published: 06 December 2012
Series ISSN: 0929-130X
Edition Number: 1
Number of Pages: XIII, 230
Topics: Econometrics, Economic Theory/Quantitative Economics/Mathematical Methods, Regional/Spatial Science