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Balancing large social accounting matrices with nonlinear network programming (Английский)

The Social Accounting Matrix (SAM) framework is a convenient way of giving a comprehensive and consistent picture of an economy. A SAM database can only be used as the basis of a planning model if it is balanced, in the sense that it satisfies a set of internal consistency relations. This paper describes a nonlinear network optimization model for balancing the SAM framework in order that it will conform to a set of internal consistency relations.
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