1. Informatics & Methodology The Transition from GEIS to Banff Chris Mohl, Yves Deguire, Rob Kozak, Chantal Marquis Statistics Canada C anada StatisticsStatistique CanadaCanada

2. Informatics and Methodology 2 Generalized Systems Similarities of GEIS and Banff vPrimarily for imputation of numeric data (non- negative) vModules for edit analysis, outlier detection, error localization and imputation vFellegi-Holt rule of minimum change and Chernikova’s algorithm used to identify fields to be imputed vEdits must be expressed in linear form

3. Informatics and Methodology 3 Generalized Systems Differences of GEIS and Banff GEIS vOracle/SQL vUNIX, mainframe vRun modules in a specific order vUser must write code Banff vSAS vPC, UNIX, mainframe vDecoupled modules (run in any order) vUser can write SAS code, use SAS wizards or Banff processor (SAS code generator)

4. Informatics and Methodology 4 Generalized Systems Methodological Enhancements in Banff vEstimation procedures can now handle negative data vRandom error term can be added to imputation for all estimator functions vAdditional options for outlier detection vMore edit variables can be processed efficiently

5. Informatics and Methodology 5 Generalized Systems Future Enhancements to Banff Version 2 (autumn 2005) vNegative data allowed in all modules vSAS wizards available for use Future versions? vAllow non-linear edits via Logiplus software vFunctionality to allow use of qualitative data vGeneralize the Banff processor

6. Informatics and Methodology 6 Generalized Systems Demonstration of Banff Wednesday May 18 at 14:00 11 th floor R.H. Coats Building