New Directions in Computational Economics
Published on 6. December 2012
XIII, 230 pages
978-94-011-0770-9 (ISBN)
Description
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 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.
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.
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William W. Cooper | Andrew B. Whinston
New Directions in Computational Economics
Book
11/2012
Springer
€171.19
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Content
One: Experimental and Computational Methods for Auction Mechanisms.- Sealed Bid Auctions and Economic Market Games.- The Use of Artificial Neural Networks for Estimation of Decision Surfaces in First Price Sealed Bid Auctions.- Designing a Real Time Computer Assisted Auction for Natural Gas Networks.- Two: Modeling Computational Economic Systems.- Nonconvexities in Stochastic Control Models: An Analysis.- The Modeling and Computation of Generalized Goal Programming Problems.- Polyhedral Assurance Regions with Linked Constraints.- Integrating Assets and Liabilities for Large Financial Organizations.- Three: Economic Modeling and Computational Systems.- Economic Decision Theory as a Paradigm for the Construction and Evaluation of Algorithms and Information Systems.- A General Economic Equilibrium Model of Distributed Computing.- International Trade, Capital Flows and Sectoral Analysis: Formulation and Solution of Intertemporal Equilibrium Models.- Stochastic Control of Nonlinear Economic Models.
