Updating and estimating a Social Account Matrix using cross entropy methods
The problem in estimating a social accounting matrix (SAM) for a recent year is to find an efficient and cost-effective way to incorporate and reconcile information from a variety of sources, including data from prior years. Based on information theory, the paper presents a flexible “cross entropy”...
| Autores principales: | , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2000
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/156718 |
| _version_ | 1855534968189485056 |
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| author | Robinson, Sherman Cattaneo, Andrea El-Said, Moataz |
| author_browse | Cattaneo, Andrea El-Said, Moataz Robinson, Sherman |
| author_facet | Robinson, Sherman Cattaneo, Andrea El-Said, Moataz |
| author_sort | Robinson, Sherman |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The problem in estimating a social accounting matrix (SAM) for a recent year is to find an efficient and cost-effective way to incorporate and reconcile information from a variety of sources, including data from prior years. Based on information theory, the paper presents a flexible “cross entropy” (CE) approach to estimating a consistent SAM starting from inconsistent data estimated with error, a common experience in many countries. The method represents an efficient information processing rule—using only and all information available. It allows incorporating errors in variables, inequality constraints, and prior knowledge about any part of the SAM. An example is presented applying the CE approach to data from Mozambique, using a Monte Carlo approach to compare the CE approach to the standard RAS method and to evaluate the gains in precision from utilizing additional information. |
| format | Artículo preliminar |
| id | CGSpace156718 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2000 |
| publishDateRange | 2000 |
| publishDateSort | 2000 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1567182025-11-06T07:13:45Z Updating and estimating a Social Account Matrix using cross entropy methods Robinson, Sherman Cattaneo, Andrea El-Said, Moataz social impact assessment mathematical models economics models entropy The problem in estimating a social accounting matrix (SAM) for a recent year is to find an efficient and cost-effective way to incorporate and reconcile information from a variety of sources, including data from prior years. Based on information theory, the paper presents a flexible “cross entropy” (CE) approach to estimating a consistent SAM starting from inconsistent data estimated with error, a common experience in many countries. The method represents an efficient information processing rule—using only and all information available. It allows incorporating errors in variables, inequality constraints, and prior knowledge about any part of the SAM. An example is presented applying the CE approach to data from Mozambique, using a Monte Carlo approach to compare the CE approach to the standard RAS method and to evaluate the gains in precision from utilizing additional information. 2000 2024-10-24T12:45:13Z 2024-10-24T12:45:13Z Working Paper https://hdl.handle.net/10568/156718 en Open Access application/pdf International Food Policy Research Institute Robinson, Sherman; Cattaneo, Andrea; El-Said, Moataz. 2000. Updating and estimating a Social Account Matrix using cross entropy methods. TMD Discussion Paper 58. https://hdl.handle.net/10568/156718 |
| spellingShingle | social impact assessment mathematical models economics models entropy Robinson, Sherman Cattaneo, Andrea El-Said, Moataz Updating and estimating a Social Account Matrix using cross entropy methods |
| title | Updating and estimating a Social Account Matrix using cross entropy methods |
| title_full | Updating and estimating a Social Account Matrix using cross entropy methods |
| title_fullStr | Updating and estimating a Social Account Matrix using cross entropy methods |
| title_full_unstemmed | Updating and estimating a Social Account Matrix using cross entropy methods |
| title_short | Updating and estimating a Social Account Matrix using cross entropy methods |
| title_sort | updating and estimating a social account matrix using cross entropy methods |
| topic | social impact assessment mathematical models economics models entropy |
| url | https://hdl.handle.net/10568/156718 |
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