1. Item 4.2 EUROMOD latest developments
EUROMOD team
Henri BUSSON
Albane GOURDOL
Veronica NICA

2. Outline Eurostat long-term strategy and objectives
Main results from Eurostat's investigations
Issues to be addressed
Financial support
Key milestones and our 2019 work plan

3. Eurostat long-term strategy
2 main inputs in EM – policy rules and input microdata sets (UDB / national SILC)
Deriving input datasets for EM - main country-specific task  reconstructing some or all the original variables (income components)
How ?
Combining the disaggregated components from the national version of the EU-SILC with the UDB
Using the national SILC dataset instead of the UDB
Imputing individual components of each harmonised variable

4. Eurostat long-term strategy
From 2014 onwards, harmonised benefit var disaggregated into 4 sub-components + metadata
imputations more precise
but quality lower than var provided directly
EM results subjects to errors
Main true microdata available at the level of granularity necessary for EM

5. Eurostat objectives
Provide an enhanced UDB database (current UDB var + national SILC var)  avoid imputing many EM core var
New EM input datasets complying with EU quality framework
Standardize the input dataset process  can't avoid country-specific characteristics
Put in place a new production architecture to integrate EM requirements
Ensure EM users' access to the new input datasets

6. Main results from our investigations
Analysis of 8 countries in 2 stages
Stage A: replication of the existing EM process
Learning-by-doing process on 7 countries
Small variability among countries
Sometimes complex data handling
Stage B: improvements of EU-SILC data to integrate EM requirements
Run another EU-SILC database than UDB  use for imputation methods, disaggregated variables
Findings: replacement of EM imputed var with real value
Findings: imputations needed to reach the required detailed level for the income components

7. Main results from our investigations
Stage B: improvements of EU-SILC data to integrate EM requirements
Create a test input data file by replacing imputed values with true value from national SILC
Understand national income scheme (from metadata and disaggregated income benefits var)
In-depth analyse national SILC questionnaires
Contact NSIs to receive their national data (thank you for your collaboration)
(Run EM software to check the results on both collection channels)

8. Two mains issues to be addressed
Quality of the new input file
Input file based on an enhanced UDB = current UDB + national var + PDB
Ensure compliance with the ESS quality framework
Access to the microdata to the community of EM users
EM internalisation  same offer as it's today
Input file based on an enriched UDB  dissemination of microdata at stake
3 solutions to deal with in-depth and to discuss (in June 2019 WG ?)

9. Financial support Help MS in their capacity building Topics covered
Further work on income components (better categorization, classification, more detailed)
Guarantee the quality of the new provided data (national var)
IT development to include the new data in the EU-SILC data collection
Single opportunity to get financial help  apply even if your country is not yet transferred (Estat could help for the topics)
Reminder – 11 countries being transferred in ES, LV, FI, BE, BG, IE, IT, CY, HU, MT, PL

10. Key milestones

11. Member States are asked to
Support our strategy and take note of the work carried out on the first 8 countries
Provide upon request relevant national var. together with useful documentation in EN or national language, at this stage for analysis and testing
Continue sending relevant metadata for disaggregated benefits
Reflect on work which could be performed with financial supports in order to be operational by the end 2020

12. Translation in the legal basis ?