Open Access

Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ


Cite

Australian Bureau of Statistics. 2009. The Australian Bureau of Statistics Data Quality Framework. Canberra: Australian Bureau of Statistics. Available at: http://www.abs.gov.au/ausstats/abs@.nsf/mf/1520.0. (accessed June 2013).Search in Google Scholar

Bakker, B. 2012. “Estimating the Validity of Administrative Variables.” Statistica Neerlandica 66: 8–17. Doi: http://dx.doi.org/10.1111/j.1467-9574.2011.00504.x.10.1111/j.1467-9574.2011.00504.xSearch in Google Scholar

Biemer, P. 2010. “Total Survey Error: Design, Implementation and Evaluation.” Public Opinion Quarterly 74: 817–848. Doi: http://poq.oxfordjournals.org/content/74/5/817.full.pdf+html10.1093/poq/nfq058.10.1093/poq/nfq058Search in Google Scholar

Biemer, P. and L. Lyberg. 2003. Introduction to Survey Quality. New York: Wiley.10.1002/0471458740Search in Google Scholar

Black, A. 2016. The IDI prototype spine’s creation and coverage. Available at: http://www.stats.govt.nz/methods/research-papers/working-papers-original/idi-prototype-spine. (accessed August 2016).Search in Google Scholar

Bryant, J., K. Dunstan, P. Graham, N. Matheson-Dunning, E. Shrosbree, and R. Speirs. 2016. Measuring Uncertainty in the 2013-Base Estimated Resident Population (Stats NZ Working Paper No 16-04). Available at: http://www.stats.govt.nz/methods/research-papers/working-papers-original/measure-uncertainty-2013-erp.aspx (accessed March 2017).Search in Google Scholar

Bryant, J. and P. Graham. 2015. “A Bayesian Approach to Population Estimation with Administrative Data.” Journal of Official Statistics 31: 475–487. Doi: http://dx.doi.org/10.1515/JOS-2015-0028.10.1515/jos-2015-0028Search in Google Scholar

Burger, J., J. Davies, D. Lewis, A. van Delden, P. Daas, and J.-M. Frost. 2013. Deliverable 6.5/2011: Final List of Quality Indicators and Associated Guidance, Report for Work Package 6 of the ESSnet on the Use of Administrative and Accounts Data for Business Statistics. Luxembourg: Eurostat. Available at: https://ec.europa.eu/eurostat/cros/system/files/SGA%202011_Deliverable_6.5.pdf_en. (accessed August 2016).Search in Google Scholar

Daas, P.J.H., S.J.L. Ossen, and M. Tennekes. 2010. “Determination of Administrative Data Quality: Recent Results and New Developments.” In Proceedings of the Q2010 European Conference on Quality in Official Statistics, May 4–6, 2010. Available at: http://www.pietdaas.nl/beta/pubs/pubs/Q2010_Session34_presentation.pdf. (accessed June 2012).Search in Google Scholar

Daas, P., S. Ossen, M. Tennekes, L.-C. Zhang, C. Hendriks, K. Foldal Haugen, A. Bernardi, F. Cerroni, T. Laitila, A. Wallgren, and B. Wallgren. 2011. Deliverable 4.1: List of Quality Groups and Indicators Identified for Administrative Data Sources, Report for Work Package 4 of the European Commission 7th Framework program BLUE-ETS. Brussels: European Commission. Available at: http://www.blue-ets.istat.it/index.php?id=7. (accessed December 2015).Search in Google Scholar

Daas, P., S. Ossen, and M. Tennekes. 2012. Deliverable 4.3: Quality Report Card for Administrative Data Sources Including Guidelines and Prototype of an Automated Version, Report for Work Package 4 of the European Commission 7th Framework program BLUE-ETS. Brussels: European Commission. Available at: http://www.blue-ets.istat.it/index.php?id=7. (accessed December 2015).Search in Google Scholar

Gibb, S., C. Bycroft, and N. Matheson-Dunning. 2016. Identifying the New Zealand Resident Population in the Integrated Data Infrastructure (IDI). Available at: http://www.stats.govt.nz/methods/research-papers/topss/identifying-nz-resident-pop-in-idi.aspx. (accessed August 2016).Search in Google Scholar

Groves, R.M. and L. Lyberg. 2010. “Total Survey Error: Past, Present, and Future.” Public Opinion Quarterly 74: 849–879. Doi: http://poq.oxfordjournals.org/content/74/5/849.full.pdf+html10.1093/poq/nfq065.10.1093/poq/nfq065Search in Google Scholar

Laitila, T. and A. Holmberg. 2010. “Comparison of Sample and Register Survey Estimators via MSE Decomposition.” In Proceedings of the Q2010 European Conference on Quality in Official Statistics, May 4–6, 2010. Available at: http://q2010.stat.fi/sessions/special-session-34/. (accessed December 2015).Search in Google Scholar

Office for National Statistics. 2013. London: Office for National Statistics. Guidelines for Measuring Statistical Quality. Newport: Office for National Statistics. Available at: http://webarchive.nationalarchives.gov.uk/20160105160709/http://www.ons.gov.uk/ons/guide-method/method-quality/quality/guidelines-for-measuring-statistical-quality/index.html. (accessed February 2017).Search in Google Scholar

Organization for Economic Cooperation and Development. 2007. OECD Glossary of Statistical Terms. Paris: OECD. Available at: https://stats.oecd.org/glossary/index.htm. (accessed August 2016).Search in Google Scholar

Roemer, M. 2002. Using Administrative Earnings Records to Assess Wage Data Quality in the March Current Population Survey and the Survey of Income and Program Participation. Maryland: U.S. Census Bureau. (Technical paper No. TP-2002-22). Available at: https://www2.census.gov/ces/tp/tp-2002-22.pdf. (accessed September 2016).Search in Google Scholar

Scholtus, S. and B.F.M. Bakker. 2013. Estimating the Validity of Administrative and Survey Variables Through Structural Equation Modelling: A Simulation Study on Robustness. The Hague / Heerlen: Statistics Netherlands. (1572-0314, no - 201302).Search in Google Scholar

Smith, T.W. 2011. “Refining the Total Survey Error Perspective.” International Journal of Public Opinion Quarterly 23: 464–484. Doi: http://ijpor.oxfordjournals.org/content/23/4/464.short/10.1093/ijpor/edq052.10.1093/ijpor/edq052Search in Google Scholar

Statistics Canada. 2009. Statistics Canada Quality Guidelines. Ontario: Statistics Canada. Available at: http://www.statcan.gc.ca/pub/12-539-x/12-539-x2009001-eng.pdf. (accessed June 2013).Search in Google Scholar

Statistics NZ. 2015a. Implementing Classification and Other Changes to Building Consent Statistics. Available at: http://www.stats.govt.nz/browse_for_stats/industry_sectors/Construction/building-consent-changes-2015.aspx. (accessed January 2016).Search in Google Scholar

Statistics NZ. 2015b. Methodology and Classification Changes to Value of Building Work Put in Place Statistics. Available at: http://www.stats.govt.nz/browse_for_stats/industry_sectors/Construction/methodology-classification-changes-value-buildingwork.aspx (accessed January 2016).Search in Google Scholar

Statistics NZ. 2015c. Retail Trade Survey: September 2015 Quarter, Data Quality Section. Available at: http://www.stats.govt.nz/browse_for_stats/industry_sectors/RetailTrade/RetailTradeSurvey_HOTPSep15qtr/Data%20Quality.aspx (accessed January 2016).Search in Google Scholar

Statistics NZ. 2015d. Value of Building Work Put in Place: June 2015 Quarter. Available at: http://www.stats.govt.nz/browse_for_stats/industry_sectors/Construction/ValueOfBuildingWork_HOTPJun15qtr/Data%20Quality.aspx. (accessed August 2016).Search in Google Scholar

Statistics NZ. 2016a. Guide to Reporting on Administrative Data Quality. Available at: http://www.stats.govt.nz/methods/data-integration/guide-to-reporting-on-admin-data-quality.aspx (accessed at August 2016).Search in Google Scholar

Statistics NZ. 2016b. Our Strategic Direction. Available at: http://www.stats.govt.nz/about_us/who-we-are/our-strategic-direction.aspx. (accessed August 2016).Search in Google Scholar

Statistics NZ. 2016c. How Accurate are Population Estimates and Projections? An Evaluation of Statistics New Zealand Population Estimates and Projections, 1996–2013. Available at: http://www.stats.govt.nz/browse_for_stats/population/estimates_and_projections/how-accurate-pop-estimates-projns-1996-2013.aspx (accessed March 2017).Search in Google Scholar

Statistics NZ. 2016d. Standard for population terms. Available at: http://www.stats.govt.nz/browse_for_stats/population/standard-pop-terms.aspx (accessed May 2017).Search in Google Scholar

United Nations Economic Commission for Europe. 2011a. Canberra Group Handbook on Household. Income Statistics. New York and Geneva: United Nations. Available at: http://www.unece.org/index.php?id=28894 (accessed December 2015).Search in Google Scholar

United Nations Economic Commission for Europe. 2011b. Using Administrative and Secondary Sources for Official Statistics – A Handbook of Principles and Practices. New York and Geneva: United Nations. Available at: http://www.unece.org/fileadmin/DAM/stats/publications/Using_Administrative_Sources_Final_for_web.pdf. (accessed December 2015).Search in Google Scholar

Wallgren, A. and B. Wallgren. 2014. Register-Based Statistics:Sstatistical Methods for Administrative Data, 2nd ed. Chichester: Wiley.10.1002/9781118855959Search in Google Scholar

Zhang, L.-C. 2012. “Topics of Statistical Theory for Register-Based Statistics and Data Integration.” Statistica Neerlandica 66: 41–63. http://dx.doi.org/10.1111/j.1467-9574.2011.00508.x.10.1111/j.1467-9574.2011.00508.xSearch in Google Scholar

eISSN:
2001-7367
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Probability and Statistics