Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics

Abstract

As part of the changes to industrial classifications following the United Nations’ revision to the International Standard Industrial Classification, ISIC Rev. 4, the UK moved to its version of a new classification between 2007 and 2011. We describe the processes involved in changing an industrial classification, including model-based adjustment methods and changes to survey designs and operations. We discuss the quality of the approaches used for different time periods in the same series, and the ways in which consistent time series are produced for users of economic statistics. We provide some general evaluation of the changeover, and guidance on the best approaches to follow when updating classifications.

Keywords

Conversion matrix overlap control quality assessment classification change

References

Bayard, K.N. and S.D. Klimek. 2004. “Creating a Historical Bridge for Manufacturing between the Standard Industrial Classification System and the North American Industry Classification System”. In Proceedings of the Business and Economic Statistics Section: American Statistical Association, August 2003: 478-84.

Beekman, M.M. 1992. “Development and Implementation of a New Standard Industrial Classification.” Netherlands Official Statistics 7: 18-26.

Bollineni-Balabay, O., J. van den Brakel, and F. Palm. 2016. “Multivariate State-Space Approach to Variance Reduction in Series with Level and Variance Breaks Due to Survey Redesigns.” Journal of the Royal Statistical Society, Series A 179: 377-402. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/rssa.12117.

Cochran, W.G. 1977. Sampling Techniques. New York: Wiley.

De la Fuente Moreno, Á . 2014. “A “Mixed” Splicing Procedure for Economic Time Series.” Estadística Espan˜ola 56: 107-121.

Drew, S. and M. Dunn. 2011. Blue Book 2011: Reclassification of the UK Supply and Use Tables. Office for National Statistics. Newport: ONS. Available at: http://www.ons.gov.uk/ons/rel/input-output/input-output-supply-and-use-tables/reclassification-ofthe-uk-supply-and-use-tables/reclassification-of-the-uk-supply-and-use-tables-pdf.pdf?format=hi-vis (accessed 9 January 2017).

Eurostat. 2015a. ESS Handbook for Quality Reports, 2014 Edition. Luxembourg: Publications Office of the European Union.

Eurostat. 2015b. ESS Guidelines on Seasonal Adjustment, 2015 Edition. Luxembourg: Publications Office of the European Union.

GSS MAC (2008) GSS MAC 15 - minutes. Available from http://webarchive.nationalarchives.gov.uk/20160105160709/http://www.ons.gov.uk/ons/guide-method/method-quality/advisory-committee/2008-2011/15th-meeting/gss-mac-fifteenthmeeting-minutes.pdf (accessed 15 January 2017).

10.

Hughes, J.C. 2008. “SIC 2007: Implementation in ONS.” Economic and Labour Market Review 2: 41-44.

11.

Hundepool, A., J. Domingo-Ferrer, L. Franconi, S. Giessing, E. Schulte Nordholt, K. Spicer, and P.-P. de Wolf. 2012. Statistical Disclosure Control. Chichester: Wiley. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1002/9781118348239.

12.

Johnson, W., S. Paben, and J. Schilp. 2012. The Use of Sample Overlap Methods in the Consumer Price Index Area Redesign. In Proceedings of the fourth International Conference on Establishment Surveys (ICES-IV), 12-14 June 2012. Available at: www.amstat.org/meetings/ices/2012/papers/301813.pdf (accessed 27 October 2016).

13.

Lindblom, A. 2003. SAMU 4 The System for Coordination of Frame Populations and Samples from the Business Register at Statistics Sweden. Background Facts on Economic Statistics 2003: 3. Stockholm: Statistics Sweden.

14.

MacDonald, B. 1995. “Implementing a Standard Industrial Classification (SIC) System Revision.” In Business Survey Methods, edited by B. Cox, D. Binder, B. Chinnappa, A. Christianson, M. Colledge, and P. Kott. 115-129. New York: Wiley. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1002/9781118150504.ch7.

15.

Mach, L., P.T. Reiss, and I. Şchiopu-Kratina. 2006. “Optimizing the Expected Overlap of Survey Samples via the Northwest Corner Rule.” Journal of the American Statistical Association 101: 1671-1679. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1198/016214506000000320.

16.

McLaren, C. 2010. Classification Changes in Retail Sales. Newport: ONS. Available at: http://www.ons.gov.uk/ons/guide-method/method-quality/specific/economy/retailsales/classification-changes-in-retail-sales.pdf?format=hi-vis (accessed 9 January 2017).

17.

Ohlsson, E. 1995. Co-ordination of Samples Using Permanent Random Numbers. In Business Survey Methods, edited by B. Cox, D. Binder, B. Chinnappa, A. Christianson, M. Colledge, and P. Kott. 153-169. New York: Wiley. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1002/9781118150504.ch9.

18.

ONS no date. SIC 2003 Comparison of Main Industrial Groupings in 2007 and 2008 by Key Variables. Newport: ONS. Available at: https://www.ons.gov.uk/file?uri=/methodology/classificationsandstandards/ukstandardindustrialclassificationofeconomicactivities/uksic2007/abiindustrygroupings_tcm77-247614.pdf (accessed 9 January 2017).

19.

ONS. 2009. UK Standard Industrial Classification of Economic Activities 2007 (SIC 2007) - Structure and Explanatory Notes. Basingstoke: Palgrave MacMillan. Available at: http://www.ons.gov.uk/ons/guide-method/classifications/current-standard-classifications/ standard-industrial-classification/sic2007-explanatory-notes.pdf (accessed 9 January 2017).

20.

ONS. 2010. Weighted Tables with Percentages UK SIC 03 - UK SIC 07 and UK SIC 07 - UK SIC 03. Newport: ONS. Available at: https://www.ons.gov.uk/methodology/classificationsandstandards/ukstandardindustrialclassificationofeconomicactivities/uksic2007 (accessed 9 January 2017).

21.

Russell, M., P. Takac, and L. Usher. 2004. “Industry Productivity Trends under the North American Industry Classification System.” Monthly Labor Review November 2004: 31-42.

22.

Särndal, C.-E., B. Swensson, and J. Wretman. 1992. Model-Assisted Survey Sampling. New York: Springer.

23.

Schiopu-Kratina, I., J.M. Fillion, L. Mach, and P.T. Reiss. 2014. “Maximizing the Conditional Overlap in Business Surveys.” Journal of Statistical Planning and Inference 149: 98-115. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1016/j.jspi.2014.02.002.

24.

Scottish Government 2012. Supply-Use Tables and Standard Industrial Classification (2007) Conversion. The Scottish Government. Available at: www.gov.scot/Resource/0042/00421501.doc (accessed 28 October 2015).

25.

Smith, P. 2013. “Sampling and Estimation for Business Surveys.” In Designing and Conducting Business Surveys, edited by G. Snijkers, G. Haraldsen, J. Jones, and D.K. Willimack. 165-218. Hoboken, New Jersey: Wiley. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1002/9781118447895.ch05.

26.

Smith, P. and S. Penneck. 2009. 100 Years of the Census of Production in the UK. GSS Methodology Series No 38. Newport: ONS. Available at: http://www.ons.gov.uk/ons/guide-method/method-quality/specific/gss-methodology-series/gss-methodologyseries-38-100-years-of-the-census-of-production-in-the-uk.pdf (accessed 9 January 2017).

27.

Smith, P., M. Pont, and T. Jones. 2003. “Developments in Business Survey Methodology in the Office for National Statistics, 1994-2000” (with discussion). Journal of the Royal Statistical Society, Series D 52: 257-295. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/1467-9884.03571.

28.

Soroka, S.N., C. Wlezien, and I. McLean. 2006. “Public Expenditure in the UK: How Measures Matter.” Journal of the Royal Statistical Society: Series A 169: 255-271. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/j.1467-985X.2006.00397.x.

29.

Taylor, C., G. James, and P. Pring. 2011. “The Development of the Monthly Business Survey.” Economic and Labour Market Review 5: 95-103.

30.

UNECE. 2013. Generic Statistical Business Process Model GSBPM (Version 5.0). Geneva: UNECE. Available at: http://www1.unece.org/stat/platform/display/GSBPM/GSBPMþv5.0 (accessed 10 November 2015).

31.

Van den Brakel, J. 2010. “Sampling and Estimation Techniques for the Implementation of New Classification Systems: the Change-Over from NACE Rev. 1.1 to NACE Rev. 2 in Business Surveys.” Survey Research Methods 4: 103-119. Doi: https://dx-doi-org.web.bisu.edu.cn/10.18148/srm/2010.v4i2.2354.

32.

Van den Brakel, J.A., P.A. Smith, and S. Compton. 2008. “Quality Procedures for Survey Transitions -Experiments, Time series and Discontinuities.” Survey Research Methods 2: 123-141. Doi: https://dx-doi-org.web.bisu.edu.cn/10.18148/srm/2008.v2i3.68.

33.

Walker, C. 1993. “Transition to the New Standard Industrial Classification (SIC(92)).” Economic Trends 472: 88-94.

34.

Williams, N. 2006. “ACTR/IDBR Test Evaluation Report.” Survey Methodology Bulletin 57: 33-38.

35.

Yuskavage, R.E. 2007. “Converting Historical Industry Time Series Data from SIC to NAICS.” The Federal Committee on Statistical Methodology 2007 Research Conference, November 5-7 2007. Available at: https://www.bea.gov/papers/pdf/SIC_NAICS.pdf (accessed 9 January 2017).