1. ESSPROS Early estimates in Denmark May 2018
Lene Jendresen
Statistics Denmark

2. Overview Early estimates Improvement of data; Npish
Danish ESSPROS-data - Links NA and ESSPROS - Other data sources than NA (GFS)
The Danish GFS compilation system

3. Early estimates is easy to produce for Denmark because
- ESSPROS data comes from GFS (NA) database
- Danish GFS compilation process ensures early GFS data with Cofog-codes

4. Early estimates; grant in 2017
Links with NA and production of early estimates was part of a grant for 2017
The general objective of the action was
to achieve a timely reporting of the ESSPROS statistics
Specific objectives were
improvement of the production system
improvement of data
cooperation with relevant ministries and organisations
SDMX reporting

5. Early estimates; grant in 2017
Improvement of the production system
New production programme (sas)
Detailed planning of the production proces
Detailed description of the production proces
Better cooperation with GFS-colleagues and extra ressources to ESSPROS
cooperation with relevant ministries and organisations
contact with ministries to reduce the burden of reporting metadata to Quali as well as of securing the quality

6. Improvement of data; grant in 2017
Distribution of data on pensions on functions
A first incorporation of data on NPISH
Current data on NPISH in NA
NPISH in the Business Register
More information needed on the sector
A new sample will be produced for future data
Better quality of metadata in the quality information

7. Improvement of data 15 organizations in Denmark with
social protection expenditures in Mio DKK
Title in English
Title in Danish
Total exp
Social exp
Red Cross Denmark
Røde Kors
1292
688,2
Danish Refugee Aid
Dansk Flygtningehjælp
2544
511,3
DanChurchSocial
Kirkens Korshær
255,7
Blue Cross Denmark
Blå Kors
130,5
Danish Cancer Society
Kræftens Bekæmpelse
672,9
126,8
DK Salvation Army
Frelsens Hær
164,2
74,9
Mødrehjælpen
67,1
YMCA social work
KFUMs sociale arbejde
62,4
Børns Vilkår
60,4
Dansk Folkehjælp
117,5
43,5
YWCA social work
KFUKs sociale arbejde
41,8
Danish Heart Foundation
Hjerteforeningen
101,4
36,5
Children with Cancer
Familier m. kræftramte børn 47
(Sclerosis)
Scleroseforeningen
61,4
30,6
(Muscular Dystrophy)
Muskelsvindfonden 40 28
Total
5658,3
2204,7

8. Danish ESSPROS data; future production
Cash benefits
All records with ESA-code D.62 Social benefits other than social transfers in kind are retrieved
Relevant transfers are coded with expenditure codes and schemes
Benefits in kind
Cofog-codes and ESA-codes (cost of production minus sales revenue) is used for delimitation
Consumption of fixed capital is distributed proportionally on ESSPROS-codes by using COFOG-codes as distribution key

9. Danish ESSPROS data
Detailed account information is used for classifying into schemes with the help of
Attached codes
Information on where to read about the purpose of the transaction (if necessary)
Detailed account information will not be used for early estimates

10. Danish ESSPROS data Other datasources than GFS Different treatment
Private obligatory pensions from the financial sector accounts including their social contributions
Two benefits comes from other sources than NA
Different treatment
Administration costs
D61SC
Housing and funeral expenses
Other?

11. The Danish GFS compilation system Structure of entries and sources
Budgetary units
Central government accounts
Municipality and regional accounts
Accounts for Social security funds
Unemployment funds

12. The Danish GFS compilation system Structure of entries and sources
Extra budgetary units
Central government extra budgetary units
Universities
Secondary schools
Local government extra budgetary units
Tourist information agencies

13. The Danish GFS compilation system The classification process (75000 entries)
Overview
Automated process
Codes are applied using a matching process:
type of transaction
COFOG
Industry
Non matched and trivial entries are coded automatically using conversion rules from primary accounts to GFS/national accounts
Manual process
Manual classification is applied on residual entries (around 5000 entries)
A classification manual is used for the manual classification
Validation of data
Logic tests
Inspection of time series at micro level

14. The Danish GFS compilation system Micro-macro link
Input data Output statistics
Primary accounts of government units GFS/national accounts
Entry no. 1   Entry no. 1 classified by TOT, COFOG, industry and grouped by subsector
Entry no. 2   Entry no. 2 classified by TOT, COFOG, industry and grouped by subsector
Entry no   Entry no classified by TOT, COFOG, industry and grouped by subsector
DIOR = Detailed Integrated Government Accounts
Categories defined by: Sector, Type of transaction, COFOG, Industry
Dior

15. The Danish GFS compilation system Output
Type of transaction (SNA/ESA) table
Revenue, expenses and net lending/borrowing
On subsectors
COFOG table
Cross compilation table – COFOG and type of transaction
Tax, specification table
Social benefits, specification table
Subsidies, specification table
Interest, specification table
Data for ESSPROS
Data for EPEA