Reconciling household surveys and national accounts data using a cross entropy estimation method
This paper presents an approach to reconciling household surveys and national accounts data that starts from the assumption that the macro data represent control totals to which the household data must be reconciled. The economic data gathered in the survey are also assumed to be accurate, or have b...
| Autores principales: | , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
1999
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/161330 |
| _version_ | 1855523177835266048 |
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| author | Robilliard, Anne-Sophie Robinson, Sherman |
| author_browse | Robilliard, Anne-Sophie Robinson, Sherman |
| author_facet | Robilliard, Anne-Sophie Robinson, Sherman |
| author_sort | Robilliard, Anne-Sophie |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper presents an approach to reconciling household surveys and national accounts data that starts from the assumption that the macro data represent control totals to which the household data must be reconciled. The economic data gathered in the survey are also assumed to be accurate, or have been adjusted to be accurate. Given these assumptions, the problem is how to use the additional information provided by the national accounts data to re-estimate the household weights used in the survey so that the survey results are consistent with the aggregate data. The estimation approach represents an efficient “information processing rule” using an estimation criterion based on an entropy measure of information. The survey household weights are treated as a prior. New weights are estimated that are close to the prior using a cross-entropy metric and that are also consistent with the additional information. This approach is implemented to reconcile LSMS survey data and macro data for Madagascar. The results indicate that the approach is powerful and flexible, supporting the efficient use of information from a variety of sources to reconcile data at different levels of aggregation in a consistent framework. |
| format | Artículo preliminar |
| id | CGSpace161330 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1999 |
| publishDateRange | 1999 |
| publishDateSort | 1999 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1613302025-11-06T06:00:26Z Reconciling household surveys and national accounts data using a cross entropy estimation method Robilliard, Anne-Sophie Robinson, Sherman national income accounting household surveys This paper presents an approach to reconciling household surveys and national accounts data that starts from the assumption that the macro data represent control totals to which the household data must be reconciled. The economic data gathered in the survey are also assumed to be accurate, or have been adjusted to be accurate. Given these assumptions, the problem is how to use the additional information provided by the national accounts data to re-estimate the household weights used in the survey so that the survey results are consistent with the aggregate data. The estimation approach represents an efficient “information processing rule” using an estimation criterion based on an entropy measure of information. The survey household weights are treated as a prior. New weights are estimated that are close to the prior using a cross-entropy metric and that are also consistent with the additional information. This approach is implemented to reconcile LSMS survey data and macro data for Madagascar. The results indicate that the approach is powerful and flexible, supporting the efficient use of information from a variety of sources to reconcile data at different levels of aggregation in a consistent framework. 1999 2024-11-21T09:54:57Z 2024-11-21T09:54:57Z Working Paper https://hdl.handle.net/10568/161330 en Open Access application/pdf International Food Policy Research Institute Robilliard, Anne-Sophie; Robinson, Sherman. 1999. Reconciling household surveys and national accounts data using a cross entropy estimation method. TMD Discussion Paper 50. https://hdl.handle.net/10568/161330 |
| spellingShingle | national income accounting household surveys Robilliard, Anne-Sophie Robinson, Sherman Reconciling household surveys and national accounts data using a cross entropy estimation method |
| title | Reconciling household surveys and national accounts data using a cross entropy estimation method |
| title_full | Reconciling household surveys and national accounts data using a cross entropy estimation method |
| title_fullStr | Reconciling household surveys and national accounts data using a cross entropy estimation method |
| title_full_unstemmed | Reconciling household surveys and national accounts data using a cross entropy estimation method |
| title_short | Reconciling household surveys and national accounts data using a cross entropy estimation method |
| title_sort | reconciling household surveys and national accounts data using a cross entropy estimation method |
| topic | national income accounting household surveys |
| url | https://hdl.handle.net/10568/161330 |
| work_keys_str_mv | AT robilliardannesophie reconcilinghouseholdsurveysandnationalaccountsdatausingacrossentropyestimationmethod AT robinsonsherman reconcilinghouseholdsurveysandnationalaccountsdatausingacrossentropyestimationmethod |