Data Editing for Complex Surveys in Presence Of Administrative Data: An Application to Fss 2013 Livestock Survey Data Based on The Joint Sequential Use Of Different R Packages

Elena Catanese
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Elena Catanese: Italian National Institute of Statistics (Istat)

Romanian Statistical Review, 2016, vol. 64, issue 2, 101-117

Abstract: Data editing and imputation (E&I) in complex sample business surveys is a task which is usually split into two steps to gain efficiency in terms of time and human resources: first selective editing techniques are applied to the primary target estimates variables in order to identify a potential set of influential errors that require usually manual editing and a second part of automatic identification and imputation of inconsistencies and missing values. Within this framework, the present paper reviews the Italian top-down data editing strategy adopted and automated imputation showing the experience applied to 2013 Farm Structure Survey livestock data.In this edition this process has been entirely carried out in the R environment by means of different R packages.

Keywords: Selective editing; data editing; Business Surveys; Automated Edit Rules; Imputation of Missing Values; Compositional Data; Random vs. Systematic Errors; Influential non Influential Errors; Statistical software R (search for similar items in EconPapers)
JEL-codes: C10 C88 (search for similar items in EconPapers)
Date: 2016
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