Accuracy of Mixed-Source Statistics as Affected by Classification Errors

Biemer, P. and L. Lyberg. 2003. Introduction to Survey Quality. New York: John Wiley and Sons. Doi: http://dx.doi.org/10.1002/0471458740.Search in Google Scholar

Bishop, Y.M., S.E. Fienberg, and P.W. Holland. 1975. Discrete Multivariate Analysis: Theory and Practice. Cambridge, MA: MIT Press.Search in Google Scholar

Bryant, J.R. 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.Search in Google Scholar

Burger, J., A. van Delden, and S. Scholtus. 2015. “Sensitivity of Mixed-Source Statistics to Classification Errors.” Journal of Official Statistics 31: 489–506. Doi: http://dx.doi.org/10.1515/jos-2015-0029.Search in Google Scholar

Chipperfield, J. and R. Chambers. 2015. “Using the Bootstrap to Analyse Binary Data Obtained via Probabilistic Linkage.” Journal of Official Statistics 31: 397–414. Doi: http://dx.doi.org/10.1515/JOS-2015-0024.Search in Google Scholar

Christensen, J.L. 2008. “Questioning the Precision of Statistical Classification of Industries.” Paper presented at the DRUID Conference on Entrepreneurship and Innovation, 17–20 June 2008, Copenhagen. Available at: http://www2.druid.dk/conferences/viewpaper.php?id=3419&cf=29 (accessed April 2016).Search in Google Scholar

Cochran, W.G. 1977. Sampling Techniques, 3rd ed. New York: John Wiley and Sons.Search in Google Scholar

Delden, A. van, S. Scholtus, and J. Burger. 2015a. “Quantifying the Effect of Classification Errors on the Accuracy of Mixed-Source Statistics.” Discussion Paper 2015-10. Available at: https://www.researchgate.net/publication/281450992_Quantifying_the_effect_of_classification_errors_on_the_accuracy_of_mixed-source_statistics (accessed April 2016).Search in Google Scholar

Delden, A. van, S. Scholtus, and J. Burger. 2015b. “Effect of Classification Errors on the Accuracy of Business Statistics.” Paper presented at the European Establishment Statistics Workshop, 7 – 9 September 2015, Poznan. Available at: https://enbes.wikispaces.com/file/view/Effect+of+classification+errors+on+the+accuracy+of+business+statistics+Arnout+van+Delden,+Sander+Scholtus+and+Joep+Burger.pdf (accessed April 2016).Search in Google Scholar

Delden, A. van and P.P. de Wolf. 2013. “A Production System for Quarterly Turnover Levels and Growth Rates Based on VAT Data.” Paper presented at the New Techniques and Technologies for Statistics (NTTS) conference, 5–7 March 2013, Brussels. Available at http://ec.europa.eu/eurostat/cros/sites/crosportal/files/NTTS2013%20Proceedings_0.pdf (accessed April 2016).Search in Google Scholar

Delden, A. van, S. Scholtus, P.P. de Wolf, and J. Pannekoek. 2014. “Methods to Assess the Quality of Mixed-Source Estimates.” Internal report PPM-2014-09-26-ADLN-SSHSPWOF-JPNK, Statistics Netherlands, The Hague.Search in Google Scholar

Efron, B. and R.J. Tibshirani. 1993. An Introduction to the Bootstrap. London: Chapman & Hall/CRC. Doi: http://dx.doi.org/10.1007/978-1-4899-4541-9.Search in Google Scholar

Groves, R., F. Fowler, M. Couper, J. Lepkowski, E. Singer, and R. Tourangeau. 2009. Survey Methodology, 2nd ed. New York: John Wiley and Sons.Search in Google Scholar

Hall, P. and T. Maiti. 2006. “On Parametric Bootstrap Methods for Small Area Prediction.” Journal of the Royal Statistical Society B 68: 221–238.10.1111/j.1467-9868.2006.00541.xSearch in Google Scholar

Ilves, M. and T. Laitila. 2009. “Probability-Sampling Approach to Editing.” Austrian Journal of Statistics 38: 171–182. Doi: http://dx.doi.org/10.1111/j.1467-9868.2006.00541.x.Search in Google Scholar

Kreuter, F., ed. 2013. Improving Surveys with Paradata: Analytic Uses of Process Information. New York: John Wiley and Sons. Doi: http://dx.doi.org/10.1002/9781118596869.Search in Google Scholar

Kuha, J. and C. Skinner. 1997. “Categorical Data Analysis and Misclassification.” In Survey Measurement and Process Quality, edited by L.E. Lyberg, P.P. Biemer, M. Collins, E.D. de Leeuw, C. Dippo, N. Schwarz, and D. Trewin, 633–670. New York: John Wiley and Sons. Doi: http://dx.doi.org/10.1002/9781118490013.Search in Google Scholar

Lumme, S., R. Sund, A.H. Leyland, and I. Keskmäki. 2015. “A Monte Carlo Method to Estimate the Confidence Intervals for the Concentration Index Using Aggregated Population Register Data.” Health Services and Outcomes Research Methodology 15: 82–98. Doi: http://dx.doi.org/10.1007/s10742-015-0137-1.442615925983615Search in Google Scholar

McCullagh, P. and J.A. Nelder. 1989. Generalized Linear Models, 2nd ed. London: Chapman & Hall. Doi: http://dx.doi.org/10.1007/978-1-4899-3242-6.Search in Google Scholar

Stoer, J. and R. Bulirsch. 2002. Introduction to Numerical Analysis, 3rd ed. New York: Springer. Doi: http://dx.doi.org/10.1007/978-0-387-21738-3.Search in Google Scholar

Waal, T. de, J. Pannekoek, and S. Scholtus. 2011. Handbook of Statistical Data Editing and Imputation. New York: John Wiley and Sons.Search in Google Scholar

Zhang, L.-C. 2005. “On the Bias in Gross Labour Flow Estimates Due to Nonresponse and Misclassification.” Journal of Official Statistics 21: 591–604.Search in Google Scholar

Zhang, L.-C. 2011. “A Unit-Error Theory for Register-Based Household Statistics.” Journal of Official Statistics 27: 415–432.Search in Google Scholar

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

Zhang, L.-C. 2012b. “On the Accuracy of Register-Based Census Employment Statistics.” Paper presented at the European Conference on Quality in Official Statistics, May 30–June 1 2012, Athens. Available at: http://www.q2012.gr/articlefiles/sessions/23.4_Zhang_AaccuracyRegisterStatistics.pdf (accessed April 2016).Search in Google Scholar