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This course will cover the quantitative and qualitative aspects of FATS (Foreign Affiliates Statistics) in the context of EGR (European Globalisation Register). It will provide insights into the methodology to compare different populations and ways to improve the quality of EGR data.
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ESTP Course on the EGR 3-4-5 December 2014 16. EGR quality indicators for FATS users
FIRST PART • Quantitative
EGR – Inward FATS Definition of the populations • EGR country specific Frame YEAR T • all resident units under foreign UCIs • National IFATS population • initial population used for the survey • UCIs corrected with the survey (only not resident UCIs) • used for the publication of the final statistics (ref. year T). Methodology to compare the two populations • Micro level based (LEUs merged by a common key) • Countries of UCIcompared only for the LEUs in common
EGR/I-FATS • Final IFATS population • Link resident units at micro level • COUNTRY of UCI, not exact UCI
EGR – Outward FATS Definition of the populations to be compared • EGR country specific Frame 2011 • all resident UCIs • National Outward FATS population • List of resident UCIs used to send out the survey • UCIs corrected with the survey (only resident UCIs) • used for the publication of the final statistics (ref. year 2011). Methodology to compare the two populations • Micro level based (resident UCI merged by a common key) • Exact UCIcompared
EGR/O-FATS • Initial OFATS population • Link UCI at micro level • Some MS have ReportingUnits • differentfrom UCI > from REP to UCI • and thenlink to EGR UCI
RESULTS • Year 2011 • Inward14 Member States • Outward11 Member States
UCI: macro vs micro DE: OFATS compiled by the NCB
NL: does not collect OFATS inside EU DE: OFATS compiled by the NCB
Conclusions • INWARD • Completenessmeasuredat micro level LOW (≈ 40%) • Accuracy for the unitslinked HIGH (≈ 85%) • Coverage on employment VERY HIGH (>95%) • Problem of linkage (Set A vs D) • Units in EGR 2011 are all large • It doesn'tmeanthat EGR covers ALL large units (weshouldmeasureemployment of D, but itisunlikelythatvery large units are missed - EGR validation, profiling)
Conclusions • OUTWARD • Completeness of UCI VERY LOW (≈ 20%) • Completeness of countries IN EU VERY HIGH (≈ 99%) • Completeness of countries OUT EU HIGH (≈ 70%) • Problem in the definition of the lists of UCIs • Methodological differences for choosing UCI • MORE DIFFICULT analysis, because we asked for the same EXACT UCI
SECOND PART • Qualitative
Qualitative questionnaire Objective: Comparison of main concepts and definitions in the EGR and inward FATS (IFATS) Users: Analysis of the differences between the definitions and concepts in: • EuroGroups Register • EuroGroupsRegister Guidelines on UCI Version September 2010 • FATS Regulation and the 2012 FATS Recommendation Manual • Foreign AffiliaTes Statistics (FATS) Recommendations Manual • Version 2012 + FATS Regulation (FATS R) Fill in a table with questions
How to improve EGR quality? • Cooperative work BR FATS - best practices • IT tools to support collaborative work needed • New legal framework for sharing FATS data needed • Mandatory use of EGR to achieve high quality • Go on with EGR quality indicators • Involve I-OFATS (NSIs-NCBs) in ESBRs project
Innovations in EGR 2.0 to improve quality • Authenticity principle • FATS users involved to send input to EGR • Output oriented frames • T+ 4 to support OFATS survey • T+15 to support final statistics (at T+20) • Data quality management including users **** • Additional requirements not yet covered • EGR frame at T+4 for Inward FATS sample surveys • Frame error correction procedure
Roadmap • 2013 – Transition year: EGR 1.0/2.0 • 2014/15 – EGR 2.0 - test • 2016 – EGR 2.0 frame methodology (Frame 2015)
Our Motto is: "EGR for all, all for EGR!" Thank you for your attention! NBRs OFATS IFATS
Thankyou! • Enrica.morganti@ec.europa.eu • Zsolt.volfinger@ec.europa.eu