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Establishing guidelines for creating long time series for short-term economic statistics. OECD Short Term Economic Statistics Working Party. Richard McKenzie OECD. Current methods used for linking and backcasting the IIP.
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Establishing guidelines for creating long time series for short-term economic statistics OECD Short Term Economic Statistics Working Party Richard McKenzie OECD
Current methods used for linking and backcasting the IIP • Given differing lengths of time series & the lack of international guidelines OECD had concern over the consistency of practices across countries • Initial analysis based on metadata reported to OECD, IMF and Eurostat is that a large variety of methods are used and terminology is not consistent or well understood • Concerns for comparability of data, and many versions of full historical series most likely exist
Brief review of OECD countries linking practices for IIP • On basis of available metadata: • 16 reported the use of chain linking using a variety of methods (10 annual, 6 five yearly); • 5 reported Laspeyres index with base year 2000 weights and time series starting in 2000 (i.e. true Laspeyres) • 6 reported Laspeyres index with base year 2000 weights but time series starting before 2000 (i.e. this is not a true Laspeyres index but a simple fixed weight index) • 2 reported the use of some other method
Policy and practices for producing long time series • Differs a lot between EU and non EU countries (reflected in time series length) • Not much reference to user needs, number of references to EU regulation • Bank of Italy comment seemed representative of user needs as viewed by OECD: • Importance of reliable long time series for STES …… for a full appraisal of business cycle both in historical perspective and for forecasting purposes
Common themes in comments • Backcasting is resource intensive • Especially when classifications change • US Retail trade presentation is a good example of the detailed work involved just to produce data back to 1992 (OECD linked index at aggregate level goes back to 1959) • Changes in classification / methodology mean that historical series on old basis no longer relevant / cannot be made comparable • Regulations in EU seen as a proxy for user needs?
User needs • Had comments from Bank of Italy stressing the importance for empirical analysis • OECD Economics Department demands longest time series as possible for their empirical analysis • Hence the policy of the Statistics Directorate as supplier • If we don’t provide the data, ECO do their own linking • ECB have remarked on the important of data from the Main Economic Indicators (compared to New Cronos) because of the longer time series …
User needs • Analytical users need long time series – if the NSO doesn’t provide them they will source them from someone who does or recreate their own • Regardless of methodological issues or costs to NSOs • Multiple versions of historical series exist, using different methodologies for backcasting / linking • Lack of knowledge of good practices (e.g. linking methodology: first common period, first common year), lack of knowledge of methodology of different segments of old series • Impact on seasonal adjusted series needs careful examination (change in seasonal factors between versions)
User needs • Is the National Statistical Office (or compiling authority) best placed to create one official version of longest time series possible? • If not them, then who is? • Could a distinction be made between backcasting at a detailed level and at an aggregate level? • How to define the aggregate level? • What are the real user needs?
Guidelines on backcasting and linking • Nothing comprehensive exists for short-term statistics • IMF manual for quarterly national accounts • PPI manual • Eurostat Methodology of short-term business statistics • Most comprehensive source for STES but guidelines for backcasting / linking need more detail and examples (no EU country uses the method recommended in the current guidelines)
Guidelines on backcasting and linking • About half countries commented on importance of STESWP establishing recommendations • Many commented on the need for this to be done in conjunction with Eurostat, who have already established some task forces for NACE implementation • How to represent the interests / needs of non EU countries • Especially those also planning the introduction of new classification systems in the coming years
Eurostat task force on NACE implementation • Producing a handbook on back-casting • Questionnaire • 3 methods • Detailed working on micro data: FR, NL, Estat-B5 • Proportion methods: STS(Estat-D3), AT, DE, UK • Extrapolation between bench markings: €ind(Estat-D1), ? • First draft mid September 2006 – TF meeting Sep 21st • Handbook November 2006 on the website • Detailed application of handbook to short-term statistics • Proposal to WG in December 2006 following release of first draft of handbook
Possible scope of guidelines • Terminology (goal to have harmonised metadata) • Index types, advantages and disadvantages and frequency of weighting updates – define preferred, alternative, poor practices • Linking methods, advantages and disadvantages, interaction with seasonally adjusted series (issue for SA handbook?) • Backcasting in conjunction with classification changes • Possible distinction between detailed and aggregate levels, where goal at aggregate levels is longest time series possible • Consistency in practices across set of related indicators and range of short-term economic statistics • Assessment of user needs (how to focus this?)
Discussion points • Scope of proposed guidelines, do they cover the correct issues • Should STESWP get involved in this work, how should it be co-ordinated with Eurostat, who wants to be involved … • Is STESWP an appropriate forum for discussing policy on the production of long time series • Can we have any influence on national practices? • General discussion on the role of NSOs for compiling long time series given wide range of comments on the paper • Interested to hear Eurostat views and especially the views of user organisations present at this meeting