Register-based National Accounts

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1 NTTS February 2011 Anders Wallgren & Britt Wallgren Statistics Sweden and Örebro University Register-based National Accounts Survey design for Yearly National Accounts?

2 Survey design for Yearly National Accounts? Statistics Canada: (4 kinds of surveys) 1. Census 2. Sample survey 3. Register survey 4. Macro data survey

3 Survey design for Yearly National Accounts? Statistics Canada: Eurostat: (4 kinds of surveys) (6 kinds of processes ) 1. Census 1. Census 2. Sample survey 2. Sample survey 3. Register survey 3. Register survey 4. Macro data survey 4. Macro data survey 5. Multiple measurement methods 6. Price index surveys

4 The transition from traditional population and housing census to register-based census The Nordic countries 1. Census 2. Sample survey 3. Register survey 4. Macro data survey

5 The transition from traditional population and housing census to register-based census The Nordic countries 1. Census 2. Sample survey 3. Register survey 4. Macro data survey The Netherlands

6 The transition from traditional population and housing census to register-based census The Nordic countries The Netherlands 1. Census 2. Sample survey 3. Register survey 4. Macro data survey Lessons learned from this: Uses a system of surveys Standardised population + standardised variables Long term efforts, top management involved

7 The transition from traditional survey to register-based survey for National Accounts (NA) 1. Census 2. Sample survey 3. Register survey 4. Macro data survey Distinguish between the survey design of the NA and the survey design of the surveys used by NA

8 An outline of a Register Survey for Yearly NA 1. Create a standardised population Quartly frames Calendar year register 2007 Yearly frame based on ALL sources for SBS 2007 All enterprises active during Deliveries of administrative data for 2007 Data delivery to National Accounts All sources are micro integrated (NA today, the same sources are macro integrated)

9 An outline of a Register Survey for Yearly NA 1. Create a standardised population for all surveys 2. All sources/surveys are micro integrated (NA today, the same sources are macro integrated) Errors and inconsistencies are seen correct them! 3. Standardised variables: Sector, NACE, Region same for all surveys => Consistency for all domains

10 Register-based NA what do we gain? Coverage errors can be reduced Comparability and Coherence can be improved Production System can be improved

11 Coverage errors can be reduced Coverage errors in the Business Register and the Structural Business Statistics survey (SBS) Chart 2. Coverage errors, as number of legal units, in the November frame 2007 November frame 2007 Calendar year register (CYR) "Active" according to November frame Overcoverage Not in C YR "Active" according to November frame In CYR "Has never been active" acc. to Nov. frame "Not active" according to Nov. frame In CYR Missing completely in Business Register Total undercoverage Nov Jan. 2009

12 Coverage errors can be reduced Coverage errors are easy to find with the Calendar year register and can then be reduced: Of all units in the population Of population totals Of domain totals, worst cases Under coverage 25 % 1 % - 2 % 10 % - 20 % Over coverage 8 % 0.5 % 5 % Undercoverage and overcoverage do not cancel out

13 Comparability and Coherence can be improved Different surveys overlap: Agriculture and Energy are in SBS and other surveys Some enterprises are not included in any survey: Agriculture: 160,367 units or 72,609 units? Financial enterprises: of 10,800 only 1,000 are reported to NA Chart 3. Number of legal units in the Calendar year register 2007 Economic activity, NACE 2002 Sector , financial intermediation Non-financial enterprises Financial enterprises Government Municipalities Non-profit organisations

14 Comparability and Coherence can be improved Coordination between surveys are easy to check with the Calendar Year Register As there are many surveys with many different units and departments at the NSI are involved, (and also more than one NSI involved in a country with a decentralised statistical system) => Cooperation necessary, top management has a role

15 Coherence can be improved Productivity = Value added (SBS) / Hours worked (LFS) Chart 4. Number of Employees November 2004 according to four different surveys Employees November 2004, thousands Business Register Employment Register LFS Economic activity Enterprises Establishments Persons main job's first NACE Error NACE 2002 (1) (2) (1)-(2) (3) (2)-(3) (4) margin (3)-(4) A Agriculture and forestry B Fishing C Mining and quarrying D Manufacturing E Electricity, gas and water F Construction G Wholesale and retail trade H Hotels and restaurants I Transport, communication J Financial intermediation K Real estate, business activities L Government M Education N Health and social work O Other service activities Unknown activity Total

16 Employed, thousands Coherence can be improved Chart 4. Number of Employees November 2004 according to four different surveys AE J H O F LI GMK D N LFS BR1 BR2 ER LFS = Labour Force Survey BR1 = Business Register enterprises BR2 = Business Register establishments ER = Employment Register Employed according to LFS

17 The Production system can be improved Chart 5. A Production System with full access to Administrative Data Sampling of persons or households Sampling of activities Other registers on persons Population Register Activity Register Other registers on activities Other registers on real estate Property Register Business Register Other registers on enterprises Sampling of real estates or buildings Sampling of enterprises

18 The Production system can be improved With more efficient use of administrative data the Production system can be improved: Can an administrative source be used to: - Improve the Business Register? - Improve the SBS? - Replace SBS-questionnaires? - Improve other enterprise surveys? - This way of using admin. data is often overlooked: Find and correct errors, improve the Production System!

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