[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.]Search in Google Scholar
[Beekman, M.M. 1992. “Development and Implementation of a New Standard Industrial Classification.” Netherlands Official Statistics 7: 18-26.]Search in Google Scholar
[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: http://dx.doi.org/10.1111/rssa.12117.10.1111/rssa.12117]Search in Google Scholar
[Cochran, W.G. 1977. Sampling Techniques. New York: Wiley.]Search in Google Scholar
[De la Fuente Moreno, Á . 2014. “A “Mixed” Splicing Procedure for Economic Time Series.” Estadística Espan˜ola 56: 107-121. ]Search in Google Scholar
[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).]Search in Google Scholar
[Eurostat. 2015a. ESS Handbook for Quality Reports, 2014 Edition. Luxembourg: Publications Office of the European Union.]Search in Google Scholar
[Eurostat. 2015b. ESS Guidelines on Seasonal Adjustment, 2015 Edition. Luxembourg: Publications Office of the European Union.]Search in Google Scholar
[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).]Search in Google Scholar
[Hughes, J.C. 2008. “SIC 2007: Implementation in ONS.” Economic and Labour Market Review 2: 41-44.10.1057/elmr.2008.122]Search in Google Scholar
[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: http://dx.doi.org/10.1002/9781118348239.10.1002/9781118348239]Search in Google Scholar
[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).]Search in Google Scholar
[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.]Search in Google Scholar
[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: http://dx.doi.org/10.1002/9781118150504.ch7.10.1002/9781118150504.ch7]Search in Google Scholar
[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: http://dx.doi.org/10.1198/016214506000000320.10.1198/016214506000000320]Search in Google Scholar
[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).]Search in Google Scholar
[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: http://dx.doi.org/10.1002/9781118150504.ch9.10.1002/9781118150504.ch9]Search in Google Scholar
[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). ]Search in Google Scholar
[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).]Search in Google Scholar
[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).]Search in Google Scholar
[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.]Search in Google Scholar
[Särndal, C.-E., B. Swensson, and J. Wretman. 1992. Model-Assisted Survey Sampling. New York: Springer.10.1007/978-1-4612-4378-6]Search in Google Scholar
[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: http://dx.doi.org/10.1016/j.jspi.2014.02.002.10.1016/j.jspi.2014.02.002]Search in Google Scholar
[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).]Search in Google Scholar
[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: http://dx.doi.org/10.1002/9781118447895.ch05.10.1002/9781118447895.ch05]Search in Google Scholar
[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).]Search in Google Scholar
[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: http://dx.doi.org/10.1111/1467-9884.03571.10.1111/1467-9884.03571]Search in Google Scholar
[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: http://dx.doi.org/10.1111/j.1467-985X.2006.00397.x.10.1111/j.1467-985X.2006.00397.x]Search in Google Scholar
[Taylor, C., G. James, and P. Pring. 2011. “The Development of the Monthly Business Survey.” Economic and Labour Market Review 5: 95-103.10.1057/elmr.2011.20]Search in Google Scholar
[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).]Search in Google Scholar
[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: http://dx.doi.org/10.18148/srm/2010.v4i2.2354. ]Search in Google Scholar
[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: http://dx.doi.org/10.18148/srm/2008.v2i3.68.]Search in Google Scholar
[Walker, C. 1993. “Transition to the New Standard Industrial Classification (SIC(92)).” Economic Trends 472: 88-94.]Search in Google Scholar
[Williams, N. 2006. “ACTR/IDBR Test Evaluation Report.” Survey Methodology Bulletin 57: 33-38.]Search in Google Scholar
[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). ]Search in Google Scholar