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. The problem is how to use the 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...

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Autores principales: Robilliard, Anne-Sophie, Robinson, Sherman
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 2003
Materias:
Acceso en línea:https://hdl.handle.net/10568/157826
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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. The problem is how to use the 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 uses 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 and that are also consistent with the additional information. This approach is implemented to reconcile household 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.
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spelling CGSpace1578262024-11-14T11:37:35Z Reconciling household surveys and national accounts data using a cross entropy estimation method Robilliard, Anne-Sophie Robinson, Sherman households surveys national accounting This paper presents an approach to reconciling household surveys and national accounts data. The problem is how to use the 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 uses 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 and that are also consistent with the additional information. This approach is implemented to reconcile household 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. 2003-09 2024-10-24T12:52:03Z 2024-10-24T12:52:03Z Journal Article https://hdl.handle.net/10568/157826 en Limited Access Wiley Robilliard, Anne-Sophie; Robinson, Sherman. 2003. Reconciling household surveys and national accounts data using a cross entropy estimation method. Review of Income and Wealth 49(3): 395-406. https://doi.org/10.1111/1475-4991.00094
spellingShingle households
surveys
national accounting
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 households
surveys
national accounting
url https://hdl.handle.net/10568/157826
work_keys_str_mv AT robilliardannesophie reconcilinghouseholdsurveysandnationalaccountsdatausingacrossentropyestimationmethod
AT robinsonsherman reconcilinghouseholdsurveysandnationalaccountsdatausingacrossentropyestimationmethod