Overview and Evaluation of AGGIES, an Automated Edit and Imputation System

Kara R Perritt and Todd A. Todaro

No 322795, NASS Research Reports from United States Department of Agriculture, National Agricultural Statistics Service

Abstract: The National Agricultural Statistics Service (NASS) currently uses several editing tools to ensure that data reported by respondents are consistent and complete. Such tools include manual editing, interactive micro level editing, batch micro level editing, and interactive macro level editing. By using all of these tools, even the most complex editing schemes can be managed and aggregate level impact can be evaluated. However, since these tools are not totally integrated, maintenance is costly, redundancy is apparent, and editing is not always performed in a consistent manner. This paper discusses the continued evaluation of the Agricultural Generalized Imputation and Edit System (AGGIES) as a possible core tool in NASS’s complete editing strategy. AGGIES is appealing in that it is an automated system that provides statistically consistent results in the edit and imputation process, it is written in a language, SAS, that makes for easy integration with tools currently being used, it can be applied to any number of surveys and censuses, and it minimizes the need for a complete manual review of the data at the micro level.

Keywords: Research and Development/Tech Change/Emerging Technologies; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 72
Date: 2000-12
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Persistent link: https://EconPapers.repec.org/RePEc:ags:unasrr:322795

DOI: 10.22004/ag.econ.322795

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