ESSPROS Early estimates in Denmark May 2018 Lene Jendresen Statistics Denmark

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

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

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

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

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

Improvement of data 15 organizations in Denmark with social protection expenditures in 2015. 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

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

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

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?

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

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

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

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. 75.000   Entry no. 75.000 classified by TOT, COFOG, industry and grouped by subsector DIOR = Detailed Integrated Government Accounts Categories defined by: Sector, Type of transaction, COFOG, Industry Dior

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