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Q 2008 European Conference on Quality in Official Statistics Rome 9 July – Early afternoon session: Data Integration I Correction for Coverage Errors in Enterprise Surveys – a Register-based Approach ___________________________________________________________________
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Q 2008 European Conference on Quality in Official StatisticsRome 9 July – Early afternoon session: Data Integration I Correction for Coverage Errors in Enterprise Surveys – a Register-based Approach ___________________________________________________________________ Anders Wallgren & Britt Wallgren Statistics Sweden
National Accounts (NA) find inconsistenciesBut difficult to find the causes
National Accounts (NA) find inconsistenciesBut difficult to find the causes • During 2006-2007 a project at Statistics Sweden:Persons from NA, many Business Surveys and the Business Register (BR) worked with this
National Accounts (NA) find inconsistenciesBut difficult to find the causes • During 2006-2007 a project at Statistics Sweden:Persons from NA, many Business Surveys and the Business Register (BR) worked with this • We found coverage errors and methods to reduce these errors
National Accounts (NA) find inconsistenciesBut difficult to find the causes • During 2006-2007 a project at Statistics Sweden:Persons from NA, many Business Surveys and the Business Register (BR) worked with this • We found coverage errors and methods to reduce these errors • The Business Register (BR) will be improved
The old method: • The BR was based on ONE administrative source, BR was a copy of the Tax Authority’s register only
The old method: • The BR was based on ONE administrative source, BR was a copy of the Tax Authority’s register only • Sample surveys were based on Business Frames based on the current stock version of the BR
The old method: • The BR was based on ONE administrative source, BR was a copy of the Tax Authority’s register only • Sample surveys were based on Business Frames based on the current stock version of the BR • Register-based surveys were based on the Business population in each administrative source
The old method: Frames used for yearly NA year 2004:
The new idea: New kind of Business Register is created January t+2:
Coverage errors with the old method: Number of Legal units (LU)
Coverage errors with the old method: SEK, Millions
Coverage errors with the old method: SEK, Millions
Coordination between different surveys: Legal units (LU)
Coordination between different surveys: Legal units (LU) BSS / Financial survey: Overlap ~ 100 LU BSS / Financial survey: Gap ~ 6 000 LU
Inconsistent frame populations: Business Structure Survey / Energy survey
Conclusion: • When ALL administrative sources for year thave beendelivered:
Conclusion: • When ALL administrative sources for year thave beendelivered: Create the Calendar Year version of the BR with all enterprises active during some part of year t
Conclusion: • When ALL administrative sources for year thave beendelivered: Create the Calendar Year version of the BR with all enterprises active during some part of year t Sector and Industry are defined by this register
Conclusion: • When ALL administrative sources for year thave beendelivered: Create the Calendar Year version of the BR with all enterprises active during some part of year t Sector and Industry are defined by this register • The population defined by this register is used by ALL sample surveys and register-based surveys that deliver data to the yearly National Accounts
Sample surveys are based on earlier frames The preliminary estimates are calibrated to be consistent with the Calendar Year Register
Sample surveys are based on earlier frames The preliminary estimates are calibrated to be consistent with the Calendar Year Register
Consequences for the NA: • Small undercoverage and overcoverage errors • Small overlap / gaps between surveys
Consequences for the NA: • Small undercoverage and overcoverage errors • Small overlap / gaps between surveys • Consistent estimates!