Multivariate Selective Editing in the Integrated Business Statistics Program

• Activity Number: 66
• Type: Topic Contributed
• Date/Time: Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
• Sponsor: Survey Research Methods Section
• Author(s): Fraser William Mills*+ and Serge Godbout and Claude Turmelle
• Companies: Statistics Canada and Statistics Canada and Statistics Canada
• Keywords: Business Surveys ; Adaptive Design ; Quality Indicators ; Selective Editting

Abstract

Statistics Canada is undergoing a redesign of its business surveys. One key component of the new framework is the adaptive selective editing methodology. Using historical and partially collected data, estimates and quality indicators are produced while collection is still underway. Item scores are calculated in order to gauge a unit's impact with regard to the quality indicator. These scores are then aggregated within each collection unit, creating a global unit score. Based on these, decisions regarding selective editing will be made, including producing priority lists for follow-up. This talk will describe the adaptive selective editing methodology with quality indicators as focal points as well as the strategy proposed to integrate sampling, active collection and selective editing. Empirical results and potential savings in the new integrated business program will be discussed.