LAMAS Working Group 23-24 October 2018 Agenda Item 2 IESS framework regulation and common implementing acts Jean-Louis.Mercy@ec.europa.eu Luis.del-Barrio@ec.europa.eu Anna.Cocker-Maciejewska@ec.europa.eu

State of play of IESS Commission: August 2016 EP: June 2017 Council: March 2018 Trilogue: June 2018 Next steps: Coreper, Plenary

IESS – Structure as in the current text Common acts Multiannual rolling planning (delegated – art. 4) Revision of the detailed topics (delegated – art. 3) Elements common to several data collections Short description of the common variables (implementing – art 6.2) Other elements common (implementing – art 6.2) Minimum requirements for sampling frames (implementing – art. 11) Quality reporting modalities and content (Implementing - art. 12) Derogations and authorisations (implementing - art. 17)

IESS – Structure as in the current text « Sectoral acts » (SILC, LFS, AES, ICT-HH, EHIS, HBS, TUS) Number and title of variables (delegated – art. 5a) Technical specifications of the data sets (implementing - art. 6.1) Monthly unemployment rate (implementing – art. 6.3) Format for transmission (implementing - art. 7) Possible further specifications of quality reporting (implementing - art. 12)

Elements common to several data collections Concepts: on the basis of the FR definitions Details on Household Details on statistical population Common variables

Details on concepts Household definition Extended HH definition (UN) Elements needed for the understanding of the definition (HH member, sharing income, HH expenses, sharing expenses, institutions) Characteristic of the statistical population Based on the definition in the FR Precisions for border cases

Variables 18 core variables 20 common variables - Sex - Age in completed years - Partners living in the same household - Household size - Household type - Main activity status (self-defined) - Full- or part-time main job (self-defined) - Status in employment in the main job - Economic activity of the local unit for main job - Occupation in main job - Educational attainment level - Country of birth - Country of main citizenship - Country of birth of the father - Country of birth of the mother - Country of residence - Region of residence - Degree of urbanisation 20 common variables - Household grid - Tenure status of the household - Equivalised net current monthly household income - Permanency of main job - Supervisory responsibilities - Year in which the person started working for his/her current employer or as self-employed - Size of the local unit for main job - Existence of previous employment experience - Participation in formal education and training (student or apprentice) in the reference period - Level of the current/most recent formal education or training activity - Year when the highest level of education was successfully completed - Field of the highest level of education successfully completed - Duration of stay in the country of residence in completed years - Self-perceived general health - Long-standing health problem - Limitation in activities because of health problems - Interviewing mode used - Nature of participation in the survey - Stratum - Primary Sampling Unit (PSU)

Example of implementation Variable name   Variable description Variable categories for data transmission to Eurostat Sex Sex is the combination of biological and physiological characteristics that define a person to be either male or female. In cases where the biological sex of a person is not known, the information may be replaced by either the information from administrative data or the self-declared sex (survey data). - Male - Female

Quality reports Common structure based on ESS standard for quality report structure (ESQRS) Endorsed by the ESSC in November 2015 (SIMS2) Statistical definitions Structure of QR

1. CONTACT 2. STATISTICAL PRESENTATION 3. STATISTICAL PROCESSING 4. QUALITY MANAGEMENT 5. RELEVANCE 6. ACCURACY AND RELIABILITY 6.1. OVERALL ACCURACY 6.2. SAMPLING ERROR 6.3. NON-SAMPLING ERROR 6.3.1. COVERAGE ERROR 6.3.2. MEASUREMENT ERROR 6.3.3. NON-RESPONSE ERROR 6.3.4. PROCESSING ERROR 6.3.5. MODEL ASSUMPTION ERROR 6.4. SEASONAL ADJUSTMENT 6.5. DATA REVISION – POLICY 6.6. DATA REVISION – PRACTICE 7. TIMELINESS AND PUNCTUALITY 8. COHERENCE AND COMPARABILITY 9. ACCESIBILITY AND CLARITY 10. COST AND BURDEN 11. CONFIDENTIALITY 12. COMMENT

LAMAS delegates are invited: to take note of the current IESS situation to comment on the elements of the common acts already available