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Cleaning and Using Administrative Lists: Enhanced Practices and Computational Algorithms for Record Linkage and Modeling/Editing/Imputation

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Cleaning and Using Administrative Lists: Enhanced Practices and Computational Algorithms for Record Linkage and Modeling/Editing/Imputation

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RRS2018-05

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Cleaning and Using Administrative Lists: Enhanced Practices and Computational Algorithms for Record Linkage and Modeling/Editing/Imputation
Download Cleaning and Using Administrative Lists: Enhanced Practices and Computational Algorithms for Record Linkage and Modeling/Editing/Imputation [PDF - <1.0 MB]

The national statistical institutes (NSIs), including the U.S. Census Bureau, developed the original methods for processing survey data. The NSIs developed systematic, efficient generalized methods/software based on the Fellegi-Holt model of statistical data editing (1976) and the Fellegi-Sunter model of record linkage (1969). The generalized software is suitable for processing files for businesses, survey institutes, and administrative organizations. Early systems at five NSIs yielded high quality results but were often much too slow for even a hundred thousand records. New computational algorithms yield drastic hundred-plus fold speed increases over algorithms used outside the NSIs and previously within the NSIs. The software is suitable for processing hundreds of millions or billions of records in a few days

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