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

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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Author

Zenios, Stavros A.;

Mulvey, John M.;
Document Date
1986/02/15
Document Type
Departmental Working Paper
Report Number
DRD167
Volume No
1
Total Volume(s)
1
Country
World,
Region
Other,
Disclosure Date
2013/06/10
Disclosure Status
Disclosed
Doc Name
Balancing large social accounting matrices with nonlinear network programming
Keywords
Economic models

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Citation

Zenios, Stavros A.; Mulvey, John M..

Balancing large social accounting matrices with nonlinear network programming (English). Development Research Department discussion paper ; no. DRD 167 Washington DC ; World Bank. http://documents.worldbank.org/curated/en/899811468155738509

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

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