SHORT-TERM STATISTICS Eurostat D3 The introduction of base year 2005 and NACE Rev. 2 in STS OECD Short-term Economic Statistics Working Party (STESWP)

Slides:



Advertisements
Similar presentations
Working Party on National Accounts, OECD – 4-6 November 2009 Update on PPP programme and new data set for health expenditure Paul Schreyer OECD.
Advertisements

1 Paris 6-7 June nd workshop Measuring Education and Health volume output François LEQUILLER, OECD/STD/NAFS Measuring Education and Health volume.
The introduction of new classifications of economic activities and products in Ukraine Workshop on International Classification Chisinau March 2013.
United Nations Statistics Division Backcasting. Overview  Any change in classifications creates a break in time series, since they are suddenly based.
Statistik.atSeite 1 Implementation of NACE Rev. 2 at the national level Norbert Rainer.
National Accounting Matrix including Environmental Accounts (NAMEA) Environmental Accounts Working Group Meeting Joint Eurostat/EFTA Group 19 May 2008.
Improving the Design of UK Business Surveys Gareth James Methodology Directorate UK Office for National Statistics.
OECD Short-Term Economic Statistics Working PartyJune Richard McKenzie OECD OECD / Eurostat taskforce on performing revisions analysis for sub-annual.
4 May 2010 Towards a common revision for European statistics By Gian Luigi Mazzi and Rosa Ruggeri Cannata Q2010 European Conference on Quality in Official.
OECD Short-Term Economic Statistics Working PartyJune Establishing guidelines for creating long time series for short-term economic statistics.
Eurostat Services Trade by Enterprise Characteristics (STEC) European Commission – Eurostat Directorate G: Global business statistics.
OECD Short-Term Economic Statistics Working PartyJune Maintaining long time series through industry classification changes Richard McKenzie.
10 September 2009 OECD STESEG Introducing NACE rev 2 in EU Short-term business Statistics Brian Newson Head of STS unit Eurostat.
Backcasting United Nations Statistics Division. Overview  Any change in classifications creates a break in time series, since they are suddenly based.
12 October 2009 EU-OECD Workshop Introducing NACE rev 2 in EU Short-term business Statistics Brian Newson Head of STS unit Eurostat.
1 QUALITY IMPROVEMENTS IN CROATIAN BUSINESS REGISTER AND IMPLICATIONS OF REVISION OF NACE Prepared by Zrinka Pavlović and Dubravka Celić Geneva,
FROM ISIC 3.1 TO ISIC 4: The Cayman Islands Experience Workshops on the 2008 System of National Accounts (SNA) Basseterre, St Kitts & Nevis December 11.
IRDTS 2008 – reasons for revision, revision process and recommendations of the 39 th session of the SC Workshop for African countries on the Implementation.
1 OECD Workshop on Business and Consumer Tendency Surveys, Rome, 19 September 2006 INTRODUCTION AND BACKGROUND TO WORKSHOP.
REPORT OF THE INTERAGENCY TASK FORCE ON STATISTICS OF INTERNATIONAL TRADE IN SERVICES MEETING OCTOBER 2012, OECD, PARIS
International Recommendations for Energy Statistics (IRES): A progress report Fourth Meeting of the UN Committee of Experts on Environmental-Economic Accounting.
1 An experimental ISP for ICT for France 28 June 2006 STESWP Task Force on Services.
General Recommendations on STS Carsten Boldsen Hansen Economic Statistics Section, UNECE UNECE Workshop on Short-Term Statistics (STS) and Seasonal Adjustment.
A Proposal for a revisions policy of Principal European Economic Indicators (PEEIs) OECD STES WP June 2008.
1 Enhancing data quality by using harmonised structural metadata within the European Statistical System A. Götzfried Head of Unit B6 Eurostat.
Implementation of NACE rev.2 in short –term economic statistics: what did we do in practice? Leendert Hoven Statistics Netherlands presentation prepared.
Report on the work of the TF on SME Data item 6 of the agenda Structural Business Statistics Working Group 14 April 2015, Luxembourg Tatiana Mrlianová.
24-25 September 2009Meeting of the European Directors of Social Statistics Update on Lifelong Learning and Education Systems statistics Agenda point 4.8.
1 SUMMARY OF ISSUES EMERGING SINCE 2003 STESEG MEETING SUMMARY OF ISSUES EMERGING SINCE 2003 STESEG MEETING SHORT-TERM ECONOMIC STATISTICS EXPERT GROUP.
Compilation of External Trade Statistics by Enterprise Characteristics: Progress Report Karo Nuortila European Commission/DG Eurostat/ Unit G3 International.
Backcasting the future Gary Brown Office for National Statistics, UK.
Agenda item: 13 DEVELOPMENT OF UNITED NATIONS GUIDELINES AND RECOMMENDATIONS ON DISTRIBUTIVE TRADE STATISTICS (BOTH STRUCTURAL AND SHORT-TERM) OECD Short-term.
Agenda item: 14 FUTURE STESWP WORK OVER THE NEXT TWELVE MONTHS OECD Short-term Economic Statistics Working Party (STESWP) Paris June 2007.
June 2009 Regulation on pesticide statistics Pierre NADIN ESTAT E1- Farms, agro-environment and rural development
Luxembourg, October Workshop on Backasting SHORT-TERM BUSINESS STATISTICSwww.stat.gov.lt BACKCASTING OF TIME SERIES: PROBLEMS AND RESULTS.
Workshop on classifications Moldova, Chisinau, March 2013
FUTURE EVOLUTION OF SHORT-TERM ECONOMIC STATISTICS
(UNSD introduction followed by open discussion)
Presentation by Eurostat
Hans Wouters ESTAT, unit C.2
Goals and objectives of Work package 2 of the ESSnet on Consistency of concepts and applied methods of business and trade-related statistics Norbert Rainer,
Education and Training Statistics Working Group – June 2014
LAMAS Working Group December 2014
WG Environmental Expenditure Statistics
TF meeting 7 October '15 Luxembourg
Eurostat – Unit E2 Frédéric NAUROY
Canada’s trade in services by industry
Hans Wouters ESTAT, unit C.2
LAMAS Working Group January 2016
Implementation of quality indicators in STS
Quality-Adjusted Labour Input
SEASONAL ADJUSTMENT TECHNIQUES
ETS Working Group, 5-6th June 2012
Enhancing MIP data coverage: back-calculation and estimates of missing values ESTP Course Luxembourg 9-11 December 2014 Ferdinando Biscosi, MIP TF.
Implementation of NACE Rev. 2
"Environmental Expenditure Statistics"
GDP Flash estimates at t+30 days Conclusions June TF meeting
Education and Training Statistics Working Group – 2-3 June 2016
Introduction. Presentation of the mandate of the Task Force
Task Force on GDP Flash estimates at t+30 days
Education and Training Statistics Working Group
Recent Developments in Regional Accounts
Item 4.3 – Repeal of CVTS legal acts
Item 5.1. Learning Mobility in Higher Education
Item 4.2 – Towards the 2016 AES Philippe Lombardo Eurostat-F5
Adult Education Survey mandate of the TF AES
NACE Rev. 2 implementation
Adult Education Survey Anonymisation Point 6
Task Force Peer reviews and quality Eurostat
ESS conceptual standards for quality reporting
Presentation transcript:

SHORT-TERM STATISTICS Eurostat D3 The introduction of base year 2005 and NACE Rev. 2 in STS OECD Short-term Economic Statistics Working Party (STESWP) June 2007 Report on progress since the 2006 STESWP meeting

STSSTS Eurostat D3 Introduction base year 2005 & NACE 2 in STS STS WG Dec-07: mandate to TF STS WG Dec-07: mandate to TF Task Force “STS Backcasting” Task Force “STS Backcasting” 1st meeting 26 April 20071st meeting 26 April 2007 participants from 10 Member States and OECDparticipants from 10 Member States and OECD discussion on estimation of 2005 weights according to new NACE and backcastingdiscussion on estimation of 2005 weights according to new NACE and backcasting

STSSTS Eurostat D3 Main TF conclusions Main TF conclusions Weights 2005 according to NACE 2Weights 2005 according to NACE 2 Problems appear to be more or less solvable (most to rely on dual coded register) Problems appear to be more or less solvable (most to rely on dual coded register) Provisional weights in time (June 2008) Provisional weights in time (June 2008) Some countries may wish to revise weights around 2010 Some countries may wish to revise weights around 2010 Backcasting of STS time seriesBackcasting of STS time series Countries less advanced – priority so far on rebasing Countries less advanced – priority so far on rebasing More attention needed in 2008 More attention needed in 2008 Introduction base year 2005 & NACE 2 in STS

STSSTS Eurostat D3 Main TF conclusions (cont.) Main TF conclusions (cont.) Countries who have not started yet their preparations are urged to do so!Countries who have not started yet their preparations are urged to do so! STS statisticians should co-ordinate themselves with experts from related domains and from horizontal groups (Structure Statistics, registers, IT, etc.)STS statisticians should co-ordinate themselves with experts from related domains and from horizontal groups (Structure Statistics, registers, IT, etc.) Gaining experience from non EU countries could help Gaining experience from non EU countries could help STESWP group the main opportunity for thisSTESWP group the main opportunity for this Introduction base year 2005 & NACE 2 in STS

STSSTS Eurostat D3 Choice of backcasting method:Choice of backcasting method: Macro versus micro method? Macro versus micro method? Criteria: quality, resources (time, skills, access to data, financial) Criteria: quality, resources (time, skills, access to data, financial) Little use of benchmarking/interpolation techniques Little use of benchmarking/interpolation techniques  Macro and micro method! Backcasting issues to resolve

STSSTS Eurostat D3 Length of the backcast time seriesLength of the backcast time series Users need to maintain current length of time series Users need to maintain current length of time series Target time horizon minimum 2000 for backcasting STS Target time horizon minimum 2000 for backcasting STS Longer backcasting for higher level aggregates Longer backcasting for higher level aggregates Trade-off between length and quality: which approach? Trade-off between length and quality: which approach?  NSO are best placed to carry out this job! Backcasting issues to resolve

STSSTS Eurostat D3 Past base years & linking of series Past base years & linking of series Most will calculate conversion coefficients for 2005 onlyMost will calculate conversion coefficients for 2005 only Can the introduction of past base years’ weights improve the quality of our backcasting results?Can the introduction of past base years’ weights improve the quality of our backcasting results? Is linking an issue?Is linking an issue? Gaps in data availability Gaps in data availability Some (few) activities were not or not sufficiently covered under the old classificationSome (few) activities were not or not sufficiently covered under the old classification  Need to identify cases, assess importance, develop solutions! Backcasting issues to resolve

STSSTS Eurostat D3 Next steps Next steps Eurostat manual on backcasting to become available soonEurostat manual on backcasting to become available soon 2nd meeting of TF “STS Backcasting” in October 20072nd meeting of TF “STS Backcasting” in October 2007 focus on backcasting focus on backcasting TF work continues through 2008 TF work continues through 2008 STS WG in December 2007STS WG in December 2007 draft Commission Regulation on backcasting draft Commission Regulation on backcasting Introduction base year 2005 & NACE 2 in STS

STSSTS Eurostat D3 STESWP members experience with deriving concordance matrices from dual coded registers?STESWP members experience with deriving concordance matrices from dual coded registers? Comparability with those generated from micro data?Comparability with those generated from micro data? Problem areas / biases that are likely to occur?Problem areas / biases that are likely to occur? Reweighting past base years with concordance matrix and linkingReweighting past base years with concordance matrix and linking How to identify weak points in the concordance matrix and adjust these back in timeHow to identify weak points in the concordance matrix and adjust these back in time Which points in time would adjustments be made (e.g. at base years?)Which points in time would adjustments be made (e.g. at base years?) What does this imply for linkingWhat does this imply for linking Do STESWP members have experience in producing longer time series for higher level aggregates?Do STESWP members have experience in producing longer time series for higher level aggregates? What level of aggregates are produced (e.g. 1 digit, 2 digit)What level of aggregates are produced (e.g. 1 digit, 2 digit) Issues for discussion