Estimating a social accounting matrix using entropy difference 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) for a recent year is a difficult and a challenging problem. Typi...
| Autores principales: | , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
1997
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/161154 |
| _version_ | 1855542713859964928 |
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| author | Robinson, Sherman El-Said, Moataz |
| author_browse | El-Said, Moataz Robinson, Sherman |
| author_facet | Robinson, Sherman 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) for a recent year is a difficult and a challenging problem. Typically, input-output data are collected at long intervals (usually five years or more), while national income and product data are available annually, but with a lag. Supporting data also come from a variety of sources; e.g., censuses of manufacturing, labor surveys, agricultural data, government accounts, international trade accounts, and household surveys. The traditional RAS approach requires that we start with a consistent SAM for a particular period and “update” it for a later period given new information on row and column sums. This paper extends the RAS method by proposing a flexible entropy difference 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 can be viewed as a special case of the general SAM estimation problem. The paper presents the structure of a SAM and a mathematical description of the estimation problem. It then describes the classical RAS procedure and the entropy difference approach. An example of the entropy difference approach applied to the case of Mozambique is presented. In addition, an appendix includes a listing of the computer code in the GAMS language used in the procedure. |
| format | Artículo preliminar |
| id | CGSpace161154 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1997 |
| publishDateRange | 1997 |
| publishDateSort | 1997 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1611542025-11-06T07:25:31Z Estimating a social accounting matrix using entropy difference methods Robinson, Sherman El-Said, Moataz social impact assessment data economic analysis estimation theory 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) for a recent year is a difficult and a challenging problem. Typically, input-output data are collected at long intervals (usually five years or more), while national income and product data are available annually, but with a lag. Supporting data also come from a variety of sources; e.g., censuses of manufacturing, labor surveys, agricultural data, government accounts, international trade accounts, and household surveys. The traditional RAS approach requires that we start with a consistent SAM for a particular period and “update” it for a later period given new information on row and column sums. This paper extends the RAS method by proposing a flexible entropy difference 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 can be viewed as a special case of the general SAM estimation problem. The paper presents the structure of a SAM and a mathematical description of the estimation problem. It then describes the classical RAS procedure and the entropy difference approach. An example of the entropy difference approach applied to the case of Mozambique is presented. In addition, an appendix includes a listing of the computer code in the GAMS language used in the procedure. 1997 2024-11-21T09:53:49Z 2024-11-21T09:53:49Z Working Paper https://hdl.handle.net/10568/161154 en Open Access application/pdf International Food Policy Research Institute Robinson, Sherman; El-Said, Moataz. 1997. Estimating a social accounting matrix using entropy difference methods. TMD Discussion Paper 21. https://hdl.handle.net/10568/161154 |
| spellingShingle | social impact assessment data economic analysis estimation theory Robinson, Sherman El-Said, Moataz Estimating a social accounting matrix using entropy difference methods |
| title | Estimating a social accounting matrix using entropy difference methods |
| title_full | Estimating a social accounting matrix using entropy difference methods |
| title_fullStr | Estimating a social accounting matrix using entropy difference methods |
| title_full_unstemmed | Estimating a social accounting matrix using entropy difference methods |
| title_short | Estimating a social accounting matrix using entropy difference methods |
| title_sort | estimating a social accounting matrix using entropy difference methods |
| topic | social impact assessment data economic analysis estimation theory |
| url | https://hdl.handle.net/10568/161154 |
| work_keys_str_mv | AT robinsonsherman estimatingasocialaccountingmatrixusingentropydifferencemethods AT elsaidmoataz estimatingasocialaccountingmatrixusingentropydifferencemethods |