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A two-step selective editing procedure based on contamination models

Author

Listed:
  • Marco Di Zio

    (Italian National Institute of Statistics)

  • Ugo Guarnera

    (Italian National Institute of Statistics)

Abstract

Ilves and Laitila (2009) propose a two-step procedure for selective editing. According to their approach, in addition to the units selected as affected by influential errors, a sample from the remaining observations is drawn in order to remove the possible residual bias. In this paper, the use of a contamination model as implemented in SeleMix (Buglielli and Guarnera, 2011) in the two-step procedure is studied. An evaluation study is performed by using data from 2008 Istat survey on small and medium enterprises and by simulating errors based on some mechanisms frequently met in NSI surveys.

Suggested Citation

  • Marco Di Zio & Ugo Guarnera, 2013. "A two-step selective editing procedure based on contamination models," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 71-82.
    • Handle: RePEc:isa:journl:v:15:y:2013:i:2-3:p:71-82
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    More about this item

    Keywords

    data editing; influential errors; mixture models; latent class models; Score function.;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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