Balancing large social accounting matrices with nonlinear network programming

Stavros A. Zenios, Arne Drud, John Michael Mulvey

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

We 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.

Original languageEnglish (US)
Pages (from-to)569-585
Number of pages17
JournalNetworks
Volume19
Issue number5
DOIs
StatePublished - Jan 1 1989

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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