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Re-Editing of Data in Canadian Business Surveys
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  1. Re-Editing of Data in Canadian Business Surveys UN/ECE Work Session on Statistical Data Editing Bonn, 25-27 September, 2006 Eric Rancourt

  2. Outline • Background • Examples • Consistency vs Accuracy • Current efforts and possible avenues • Conclusion

  3. Background Surveys Concept → collection → nonresponse → editing Administrative data Concept → collection → nonresponse → editing Joint use: Further editing of the combined file

  4. Examples Annual survey: Tax replacement for 50% of sampled units Monthlies: Tax replacement (ratio adjustment) for 50% of sampled units Some degree of re-editing in each case to increase consistency.

  5. Consistency vs Accuracy • Consistency of sources or • Accuracy of each source individually → Are they mutually exclusive? → How to balance the two?

  6. Current efforts • Chart of accounts (COA) to better link tax and survey concepts/data. • Data integration project (DIP) to optimize the sample design (including estimation) • Improved quality measures

  7. Other potential avenues Problem similar to • Increasing noise to protect confidentiality • Using subsequent panels to (re)impute past data in longitudinal surveys

  8. Conclusion • Important to refocus on principles of editing (understand process; know quality; not to correct data) • Need for guidelines on balancing consistency and accuracy