Administrative Records for Survey Methodology. Группа авторов

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records: the experience of Finland. Journal of Official Statistics 7: 457–474.

      32 Nirel, R. and Glickman, H. (2009). Sample surveys and censuses. In: Sample Surveys: Design, Methods and Applications (Chapter 21), vol. 29A (eds. D. Pfeffermann and C.R. Rao), 539–565. North Holland: Elsevier.

      33 ONS – Office for National Statistics (2013). Beyond 2011: Producing Population Estimates Using Administrative Data: In Practice. ONS Internal Report. http://www.ons.gov.uk/ons/about-ons/who-ons-are/programmes-and-projects/beyond-2011/reports-and-publications/index.html (accessed 04 August 2020).

      34 Pannekoek, J. and Zhang, L.-C. (2015). Optimal adjustments for inconsistency in the presence missing data. Survey Methodology 41: 127–144.

      35 Pannekoek, J., Shlomo, N., and DeWaal, T. (2013). Calibrated imputation of numerical data under linear edit restrictions. The Annals of Applied Statistics 7: 1983–2006.

      36 Pavlopoulos, D. and Vermunt, J.K. (2015). Measuring temporary employment. Do survey or register data tell the truth? Survey Methodology 41: 197–214.

      37 Purcell, N. and Kish, L. (1980). Postcensal estimates for local areas (or domains). International Statistical Review 48: 3–18.

      38 Rao, J.N.K. and Molina, I. (2015). Small Area Estimation, 2e. New York: Wiley.

      39 Renaud, A. (2007). Estimation of the coverage of the 2000 census of population in Switzerland: methods and results. Survey Methodology 33: 199–210.

      40 Renssen, R.H. and Nieuwenbroek, N.J. (1997). Aligning estimates for common variables in two or more sample surveys. Journal of the American Statistical Association 92: 369–374.

      41 Säarndal, C.-E., Swensson, B., and Wretman, J. (1992). Model Assisted Survey Sampling. New York: Springer-Verlag.

      42 Shlomo, N., de Waal, T., and Pannekoek, J. (2009). Mass imputation for building a numerical statistical database. Presented at the UNECE Statistical Data Editing Workshop, Neuchatel (October 2009).

      43 Statistics Canada (2015). Statistics Canada Quality Guidelines. http://www.statcan.gc.ca/pub/12-539-x/12-539-x2009001-eng.htm (accessed 4 August 2020).

      44 Stoerts, R., Hall, R., and Fienberg, S. (2015). A Bayesian approach to graphical record linkage and de-duplication. https://arxiv.org/abs/1312.4645 (accessed 04 August 2020).

      45 Thomsen, I. and Villund, O. (2011). Using register data to evaluate the effects of proxy interviews in the Norwegian Labour Force Survey. Journal of Official Statistics 27: 87–98.

      46 Thomsen, I. and Zhang, L.-C. (2001). The effects of using administrative registers in economic short term statistics: the Norwegian Labour Force Survey as a case study. Journal of Official Statistics 17: 285–294.

      47 UNECE (2011). Using Administrative and Secondary Sources for Official Statistics: A Handbook of Principles and Practices. United Nations Economic Commission for Europe. Available at: http://www.unece.org.

      48 UNECE (2014). Measuring Population and Housing. Practices of UNECE Countries in the 2010 Round of Censuses. United Nations Economic Commission for Europe. Available at: http://www.unece.org.

      49 Upton, G. and Cook, I. (2008). A Dictionary of Statistics. Oxford University Press.

      50 Valliant, R., Dorfman, A.H., and Royall, R.M. (2000). Finite Population Sampling and Inference: A Prediction Approach. New York: Wiley.

      51 Van Delden, A., Scholtus, S., and Burger, J. (2016). Accuracy of mixed-source statistics as affected by classification errors. Journal of Official Statistics 32 (3): 619–642.

      52 de Waal, T. (2016). Obtaining numerically consistent estimates from a mix of administrative data and surveys. Statistical Journal of the IAOS 32: 231–243.

      53 de Waal, T., Pannekoek, J., and Scholtus, S. (2011). Handbook of Statistical Data Editing and Imputation. Hoboken, NJ: Wiley.

      54 Wallgren, A. and Wallgren, B. (2014). Register-Based Statistics: Statistical Methods for Administrative Data, 2e. Wiley.

      55 Wolter, K. (1986). Some coverage error models for census data. Journal of the American Statistical Association 81: 338–346.

      56 Zhang, L.-C. (2009a). A triple-goal imputation method for statistical registers. Presented at the UNECE Statistical Data Editing Workshop, Neuchatel (October 2009).

      57 Zhang, L.-C. (2009b). Estimates for small area compositions subjected to informative missing data. Survey Methodology 35: 191–201.

      58 Zhang, L.-C. (2011). A unit-error theory for register-based household statistics. Journal of Official Statistics 27: 415–432.

      59 Zhang, L.-C. (2012). Topics of statistical theory for register-based statistics and data integration. Statistica Neerlandica 66: 41–63.

      60 Zhang, L.-C. (2015a). On proxy variables and categorical data fusion. Journal of Official Statistics 31: 783–807.

      61 Zhang, L.-C. (2015b). On modelling register coverage errors. Journal of Official Statistics 31: 381–396.

      62 Zhang, L.-C. and Chambers, R.L. (2004). Small area estimates for cross-classifications. Journal of the Royal Statistical Society, Series B 66: 479–496.

      63 Zhang, L.-C. and Dunne, J. (2017). Trimmed dual system estimation. In: Capture–Recapture Methods for the Social and Medical Sciences (Chapter 17) (eds. D. Böhning, J. Bunge and P. van der Heijden), 239–259. Chapman & Hall/CRC.

      64 Zhang, L.-C. and Fosen, J. (2012). A modeling approach for uncertainty assessment of register-based small area statistics. Journal of the Indian Society of Agricultural Statistics 66: 91–104.

      65 Zhang, L.-C. and Giusti, C. (2016). Small area methods and administrative data integration. In: Analysis of Poverty Data by Small Area Estimation (ed. M. Pratesi), 61–82. Wiley.

      66 Zhang, L.-C. and Pritchard, A. (2013). Short-term turnover statistics based on VAT and Monthly Business Survey data sources. European Establishment Statistics Workshop, Nuremberg, Germany (9–11 September 2013).

       John M. Abowd1, Ian M. Schmutte2, and Lars Vilhuber3

       1U.S. Census Bureau and Cornell University, Suitland, MD, USA

       2University of Georgia, Athens, GA, USA

       3Department of Economics and Executive Director of Labor Dynamics Institute (LDI) at Cornell University, Ithaca, NY, USA

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