Secondary confidentiality in European business statistics

Slides:



Advertisements
Similar presentations
Data Sharing Werner Bier Deputy Director-General Statistics European Central Bank Inter-Agency Group on Economic and Financial Statistics (IAG) G-20 Data.
Advertisements

Eurostat Q2014 – Session 35 Quality assurance for Business Statistics in Europe through the ESS.VIP.ESBRs project D. Francoz Eurostat.
Chapter 10 – Dissemination Ilaria Dimatteo United Nations Statistics Division The 4 th meeting of the Oslo Group on energy statistics Ottawa, Canada, 2-6.
1 The statistical units model and integration Less is more Wim Kloek Session 32 Q2010 Helsinki, 4 to 6 May 2010.
BAIGORRI Antonio – Eurostat, Unit B1: Quality; Classifications Q2010 EUROPEAN CONFERENCE ON QUALITY IN STATISTICS Terminology relating to the Implementation.
Slide 1 Eurostat Unit B3 – Statistical Information Technologies CoRD Meeting – 4 June 2007 Agenda Item 8 Preliminary ideas for a 2011 census hub Giuseppe.
Working group on Living Conditions May 2006 Proposed indicators of non monetary deprivation : Update on the basis of EU-SILC 2004 and proposals of.
9 th Euroindicators Working Group Luxembourg, 4 th & 5 th December 2006 Eurostat - Unit D1 Key Indicators for European Policies.
Business Registers Recommendations Manual Presentation by Eurostat
United Nations Statistics Division Dissemination of IIP data.
Agenda item: 14 FUTURE STESWP WORK OVER THE NEXT TWELVE MONTHS OECD Short-term Economic Statistics Working Party (STESWP) Paris June 2007.
ESTP course, SBS module 13 March 2013 Structural Business Statistics Data reporting to Eurostat, transmission format and tools.
The Eurostat Metadata Handler Götzfried Eurostat (Head of Unit B6)
The ESS vision, ESSnets and SDMX
Confidentiality in Published Statistical Tables
Legal, political and methodological issues in confidentiality in the ESS Maria João Santos, Jean-Marc Museux Eurostat.
COORDINATING GROUP FOR STATISTICS ON TRANSPORT
Seminar on ESA 2010 Metadata
Eurostat D2 – Regional Indicators and Geographical Information
Working Group ”Environmental Accounts”
Access to European microdata for scientific purposes
Usage of National Reference Metadata Editor (NRME)
Harmonisation process of anonymisation of microdata
The European Statistical System
Structural Business Statistics Data reporting to Eurostat, transmission format and tools ESTP course, SBS module 13 March 2013.
Public use files for ESS microdata
The new metadata structure & Country Specific Notes
Working Group on Statistical Confidentiality, October 2009
ESSnet Projects Pascal JACQUES Unit/B5 Methodology and research
Working Party on Regional Statistics 1-2 October 2012
Prodcom ESTP course October 2013
Data from statistical modeling (e. g
Work Package 2 - Geostatistics Marja Tammilehto-Luode
Data Validation in the ESS Context
Interoperability issues in the implementation of SIMS
Mandates for Unit A6 "Statistical cooperation" (Doc MGSC/2013/16)
Item 9.3 – 2014 release of the Europe 2020 education indicators
ETS WG meeting 6-7 September 2006
Sponsorship on Communication
Culture Statistics: what next?
Item 4.1 Recent activities in confidentiality and micro data access
LAMAS Working Group December 2013
Education and Training Statistics Working Group – 2-3 June 2016
Item 7.1 Implementation of the 2016 Adult Education Survey
Point 6. Eurostat plans for Time Use Survey data processing and dissemination Working Group on Time Use Surveys 10 April 2013.
Joint Forest Sector Questionnaire
Working Group on Statistical Confidentiality Item 3 of the Agenda
LAMAS Working Group 7-8 December 2016
Working Group on Statistical Confidentiality
Item 2.2 Use of waivers in business statistics
Meeting of Water Directors
Demography applications of SDMX Giuseppe SINDONI, Unit B3
ESS.VIP Validation Item 5.1
Quality reporting under Regulation (EC) No 1165/2008
Conclusions of the meeting
Item 5.1. Learning Mobility in Higher Education
Metadata for the European Statistical System
Structural Business Statistics
LAMAS Working Group 6-7 December 2017
Implementing the “Vision” within the ESS
SDMX Implementation The National Accounts use case
Prodcom Working Group Item 03.5 – Confidentiality & dissemination of PRODCOM statistics Prodcom Working Group 18th -19th September 2014.
Prodcom Working Group Item Quality reporting and indicators
Business architecture
2.7 Annex 3 – Quality reports
Treatment of statistical confidentiality Introductory course Trainer: Felix Ritchie CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE.
Item 5 Wim Kloek, Eurostat
ESS conceptual standards for quality reporting
Interoperability of metadata systems: Follow-up actions
Waste NAMEAs NAMEA Task Force Meeting 2-3 December 2008
Presentation transcript:

Secondary confidentiality in European business statistics Item 3.1 Wim Kloek, Eurostat

From the Eurostat perspective Standard SDC-tools cannot be applied directly as the treatment of the national cells is given Very skewed distributions because of country size and industrial structure Often no information on the reasons of confidentiality of the national cells Several EU aggregates to be considered: EU, EA in different compositions The confidentiality flag is used for other purposes than statistical confidentiality

Confidentiality Charters A domain specific agreement on how to deal with statistical confidentiality, notably for the EU-totals Based on an agreed template Contributes to transparency in the ESS and to harmonisation over statistical domains Advice to create (or update) the Confidentiality Charter with the revision of production systems

Confidentiality Charter Pesticides Recently adopted Charter for Pesticide statistics in implementation phase A new idea was introduced: present the total of the non-confidential cells in case this total is at least 95% of the real total (the difference is negligible) The implementation of this rule is less straightforward as expected. There can be conflicts between higher and lower level totals. In which case the higher level totals will get priority.

Questions for discussion How to improve the metadata flow? Reasons for confidentiality at the national level Avoid mixing statistical confidentiality with data quality or non-availability of data at the national level Suppression is more and more difficult to manage with dissemination at national and international level, tailor made tables and abundant public information. Which directions are available?