December 2009 Issued by Office for National Statistics, Government Buildings, Cardiff Road, Newport NP10 8XG Media Office 0845 6041858 Business Area 0163 3456492 [email protected] Summary Quality Report for Index of Production 1 Introduction This report is part of a rolling programme of quality reports being introduced by the Office for National Statistics (ONS). The full programme of work being carried out on Statistical Quality1 is available on the National Statistics website. The Index of Production (IoP) measures the production of the manufacturing, mining and quarrying, and energy supply industries, which covers 17.2 per cent of the UK economy in 2005. 2. Summary of Quality 2.1 Relevance The degree to which the statistical product meets user needs for both coverage and content. IoP is intended to provide a general measure of monthly changes in the volume of output of production industries. The IoP shares exactly the same industry coverage as the corresponding quarterly series within Gross Domestic Product (GDP)2. The UK IoP has existed in more or less its present form since the late 1940s, publishing three broad production categories of manufacturing, mining and quarrying and energy. The IoP has three primary uses: • as a short-term economic indicator in its own right. The Government and the Bank of England, among others, monitor the IoP as an important indicator of industrial activity • as a component of the production or output measure of GDP2, the IoP contributes to the UK National Accounts3 • as a requirement for the Statistical Offices of the European Community (Eurostat) information on production and current price sales are provided to Eurostat On a monthly basis, the individual indices of production are obtained from two main types of source data: 1. output measured in physical units such as tonnes of coal or cubic metres of gas, which are provided by other government departments 2. output measured in turnover sales. The source data for turnover sales is the Monthly Production Inquiry (MPI)4 of the manufacturing industry 2.2 Accuracy The closeness between an estimated result and the (unknown) true value. The monthly measure of IoP is equivalent to the production sector of quarterly GDP2, which uses the same data. The only difference is the periodicity of output. Therefore, the average of the three months of a quarter in a published IoP series equals the corresponding quarterly value in GDP2. Office for National Statistics, Information paper 1 One dimension of measuring accuracy is reliability, which can be measured using evidence from analyses of revisions to assess the closeness of early estimates to subsequently estimated values. The results of revisions analysis are regularly presented in the background notes of IoP Statistical Bulletins available on the IoP Homepage5. Spreadsheets giving revisions triangles of estimates for all months from December 1997 through to the current month are also available from this page. Being part of the UK National Accounts3, the monthly IoP is constrained by the National Accounts revisions policy6. Revisions to data occur for a number of reasons: • late returned questionnaires • incorrect estimates or revised back data and • revisions to seasonal adjustment factors (which are re-estimated every period and subject to annual review in the spring) Each month the revisions policy determines the period that may be amended from previously published values, usually only a short period but occasionally a longer span of data. Another standard measure of the accuracy (or precision) of time series is the standard error of the growth of the index. Further information and data on standard errors within the IoP are available on the ONS website on the IoP Homepage5. Turnover data, deflators and inventory data are processed at class level as they have data quality adjustments applied at this level of processing. There are quality assurance procedures in place to understand and explain movements in the data, to allow informed quality adjustments and to check that the computer system is calculating the published indices correctly. Tables of data and revisions to data, showing index numbers and growth rates, help to identify unusual behaviour. Briefing information is supplied each month by the MPI team. 2.3 Timeliness and Punctuality Timeliness refers to the lapse of time between publication and the period to which the data refer. Punctuality refers to the time lag between the actual and planned dates of publication. The National Statistics Release Calendar7 is available online and provides twelve months advanced notice of releases. Publication dates are fixed and have never been delayed or missed. In the unlikely event of a change to the pre-announced release schedule, public attention should be drawn to the change and the reasons for the change should be explained fully at the same time, as set out in the Code of Practice for Official Statistics8. The IoP is usually published approximately 26 working days after the end of the reference month. It is the earliest official indicator of the performance of UK industry. The IoP is published on the ONS website as a Statistical Bulletin on the IoP Homepage5. As the IoP is a short-term indicator, the main users want the figures to be available as soon as possible after the end of the period to which they refer. As a result revisions are an inevitable consequence of the trade off between timeliness and accuracy. 2.4 Accessibility and Clarity Accessibility is the ease with which users are able to access the data, also reflecting the format(s) in which the data are available and the availability of supporting information. Clarity refers to the quality and sufficiency of the metadata, illustrations and accompanying advice. IoP Statistical Bulletins conform to the standards set out in the Code of Practice for Official Statistics8. IoP Statistical Bulletins and Time series datasets9 are available to download free of charge after 9.30am on the day of publication. For queries on the IoP series, compilation methods, quality information or difficulties in finding the latest figures, contact the IoP enquiry team by email: [email protected] or by telephone, 01633 456492. Office for National Statistics, Information paper 2 2.5 Comparability The degree to which data can be compared over time and domain. Every effort is made to ensure that the series is comparable over time, and a comparable time series is available back to 1948 for annual figures (1968 for quarterly and 1968 for monthly). Where possible, changes to methodology are applied to the whole series to ensure this comparability is maintained. However, National Accounts revisions policy6 may mean that these methodology changes may take time before they become published for the complete series. Since international standards such as the System of National Accounts 1993 (SNA 93)10 and the European System of Accounts 1995 (ESA 95)11 are used in the production of the IoP, the figures should be directly comparable with the accounts of other countries. However, the revisions policy of these countries should be examined before comparing data for back periods. 2.6 Coherence The degree to which data that are derived from different sources or methods, but which refer to the same phenomenon, are similar. The majority of source data are derived from MPI4. There is no comparable monthly source, but after two years when annual turnover becomes available from the Annual Business Inquiry (ABI)12, checks can be undertaken to ensure consistency between the 12 monthly returns and the data returns from large businesses. Data from the IoP are a direct input to the quarterly GDP2 dataset. This indicates that the datasets are entirely consistent with no quality adjustments made to the production data within GDP2. 3. Summary of Methods Used to Compile the Output The monthly IoP provides a timely indicator of growth in the output of production industries. The IoP has the same conceptual basis as the output measure of GDP2, it is designed to measure the change in the Gross Value Added (GVA)13 of the production industries. IoP uses a wide variety of different data, from several sources. Each industry in the IoP is expressed as an index series and therefore to be able to compile higher level aggregates the industries are weighted together. This is done according to their relative contribution to total GDP2 based on their GVA13 at a set point in time. In general the larger the GVA13 for a particular industry the larger will be its relative contribution to total GDP2 and so the higher will be the ‘weight’ associated with that industry. The index is constructed within ONS’ Central Shared Database (CSDB), a computer system that is widely used in compiling the UK National Accounts3. This computer system incorporates the functions that operate upon the source data in order to produce the output indices. At each stage of processing a number of mathematical calculations and statistical functions are applied to the data to produce the published aggregate figures. The IoP Production team uses a variety of procedures to try to ensure that the estimate is of high quality. The purpose of these is to understand and explain movements in the data, to allow informed quality adjustments and to check that the computer system is calculating the published indices correctly. Statistical disclosure control methodology is applied to the data. This ensures that information attributable to an individual or individual organisation is not identifiable in any published outputs. The Code of Practice for Official Statistics8, and specifically the Principle on Confidentiality set out practices for how we protect data from being disclosed. The Principle includes the statement that ONS outputs should “ensure that official statistics do not reveal the identity of an individual or organisation, or any private information relating to them, taking into account other relevant sources of information”. More information can be found in National Statistician’s Guidance: Confidentiality of Official Statistics14 and also on the ONS Statistical Disclosure Control Methodology15 page of the ONS website. Office for National Statistics, Information paper 3 4 References 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Title of Reference Statistical Quality Gross Domestic Product (GDP) UK National Accounts Monthly Production Inquiry (MPI) IoP Homepage National Accounts Revisions Policy National Statistics Release Calendar Code of Practice for Official Statistics IoP Time Series webpage System of National Accounts 1995 (SNA 93) European System of Accounts 1995 (ESA 95) Annual Business Inquiry Gross Value Added National Statistician’s Guidance: Confidentiality of Official Statistics ONS Statistical Disclosure Control Methodology Website Location http://www.ons.gov.uk/about-statistics/methodology-andquality/quality/index.html http://www.statistics.gov.uk/CCI/nugget.asp?ID=56&Pos=3&ColRank= 1&Rank=294 http://www.statistics.gov.uk/statbase/Product.asp?vlnk=1143 http://www.ons.gov.uk/about/surveys/a-z-of-surveys/monthly-inquiryinto-the-production-industries/index.html http://www.statistics.gov.uk/statbase/Product.asp?vlnk=6230 http://www.statistics.gov.uk/CCI/article.asp?ID=1187&Pos=1&ColRank =2&Rank=224 http://www.statistics.gov.uk/ReleaseCalendar/findreleases.asp? http://www.statisticsauthority.gov.uk/assessment/code-ofpractice/index.html http://www.statistics.gov.uk/statbase/tsdtables1.asp?vlnk=diop http://unstats.un.org/unsd/sna1993/introduction.asp http://circa.europa.eu/irc/dsis/nfaccount/info/data/ESA95/en/een00000 .htm http://www.statistics.gov.uk/abi/ http://www.statistics.gov.uk/CCI/nugget.asp?ID=254&Pos=6&ColRank =1&Rank=224 http://www.statisticsauthority.gov.uk/nationalstatistician/guidance/confidentiality-of-official-statistics.pdf http://www.statistics.gov.uk/about/data/methodology/general_methodo logy/sdc.asp i Last Updated: December 2009 Office for National Statistics, Information paper 4
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