Balancing large social accounting matrices with nonlinear network programming

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 1989 Cyprus English Publisher:WileyJournal:Networks, volume 19, pages 569-585 (issn: 0028-3045, eissn: 1097-0037,

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Authors: Zenios, Stavros A.; Drud, Arne; Mulvey, John M.; Zenios, Stavros A.; Drud, Arne; Mulvey, John M.;

doi: 10.1002/net.3230190507

Balancing large social accounting matrices with nonlinear network programming

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Abstract

AbstractWe formulate the problem of optimally adjusting the components of a large matrix to satisfy consistency requirements as a nonlinear network optimization model. An efficient network optimization algorithm—GENOS—is incorporated in a user friendly modeling system—GAMS. The resulting software is used for balancing large Social Accounting Matrices (SAM). We assemble a library of SAM models from developing countries and report computational results.

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Cyprus

Related Organizations

University of Pennsylvania
United States
World Bank
United States
College of New Jersey
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University of Cyprus
Cyprus

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