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Data quality, concepts and methodology

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  1. Reference period
  2. Survey frame and coverage
  3. Sample selection
  4. Data collection
  5. Data entry, editing and imputation
  6. Estimation
  7. Data quality, sampling and non-sampling errors
  8. Data confidentiality
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