Estimating a social accounting matrix using cross entropy methods
There is a continuing need to use recent and consistent multisectoral economic data to support policy analysis and the development of economywide models. Updating and estimating input-output tables and social accounting matrices (SAMs), which provides the underlying data framework for this type of m...
| Main Authors: | , , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
1998
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/161221 |
| _version_ | 1855514125152550912 |
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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 | There is a continuing need to use recent and consistent multisectoral economic data to support policy analysis and the development of economywide models. Updating and estimating input-output tables and social accounting matrices (SAMs), which provides the underlying data framework for this type of model and analysis, for a recent year is a difficult and a challenging problem. The traditional RAS approach requires that we start with a consistent SAM for a particular year and “update” it for a later year given new information on row and column sums. This paper extends the RAS method by proposing a flexible “cross entropy” approach to estimating a consistent SAM starting from inconsistent data estimated with error, a common experience in many countries. The method is flexible and powerful when dealing with scattered and inconsistent data. It allows incorporating errors in variables, inequality constraints, and prior knowledge about any part of the SAM (not just row and column sums). Since the input-output accounts are contained within the SAM framework, updating an input-output table is a special case of the general SAM estimation problem. The paper describes the RAS procedure and “cross entropy” method, and compares the underlying “information theory” and classical statistical approaches to parameter estimation. An example is presented applying the cross entropy approach to data from Mozambique. An appendix includes a listing of the computer code in the GAMS language used in the procedure. |
| format | Artículo preliminar |
| id | CGSpace161221 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1998 |
| publishDateRange | 1998 |
| publishDateSort | 1998 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1612212025-11-06T05:07:04Z Estimating a social accounting matrix using cross entropy methods Robinson, Sherman Cattaneo, Andrea El-Said, Moataz social impact assessment There is a continuing need to use recent and consistent multisectoral economic data to support policy analysis and the development of economywide models. Updating and estimating input-output tables and social accounting matrices (SAMs), which provides the underlying data framework for this type of model and analysis, for a recent year is a difficult and a challenging problem. The traditional RAS approach requires that we start with a consistent SAM for a particular year and “update” it for a later year given new information on row and column sums. This paper extends the RAS method by proposing a flexible “cross entropy” approach to estimating a consistent SAM starting from inconsistent data estimated with error, a common experience in many countries. The method is flexible and powerful when dealing with scattered and inconsistent data. It allows incorporating errors in variables, inequality constraints, and prior knowledge about any part of the SAM (not just row and column sums). Since the input-output accounts are contained within the SAM framework, updating an input-output table is a special case of the general SAM estimation problem. The paper describes the RAS procedure and “cross entropy” method, and compares the underlying “information theory” and classical statistical approaches to parameter estimation. An example is presented applying the cross entropy approach to data from Mozambique. An appendix includes a listing of the computer code in the GAMS language used in the procedure. 1998 2024-11-21T09:54:14Z 2024-11-21T09:54:14Z Working Paper https://hdl.handle.net/10568/161221 en Open Access application/pdf International Food Policy Research Institute Robinson, Sherman; Cattaneo, Andrea; El-Said, Moataz. 1998. Estimating a social accounting matrix using cross entropy methods. TMD Discussion Paper 33. https://hdl.handle.net/10568/161221 |
| spellingShingle | social impact assessment Robinson, Sherman Cattaneo, Andrea El-Said, Moataz Estimating a social accounting matrix using cross entropy methods |
| title | Estimating a social accounting matrix using cross entropy methods |
| title_full | Estimating a social accounting matrix using cross entropy methods |
| title_fullStr | Estimating a social accounting matrix using cross entropy methods |
| title_full_unstemmed | Estimating a social accounting matrix using cross entropy methods |
| title_short | Estimating a social accounting matrix using cross entropy methods |
| title_sort | estimating a social accounting matrix using cross entropy methods |
| topic | social impact assessment |
| url | https://hdl.handle.net/10568/161221 |
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