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Article type: Research Article
Authors: Luzi, Oriettaa | Shlomo, Natalieb; c
Affiliations: [a] ISTAT – Italian National Institute of Statistics, Via Cesare Balbo 16, 00184 Roma, Italy | [b] Israel Central Bureau of Statistics, Kanfey Nesharim 66, 95464 Jerusalem, Israel | [c] Statistical Sciences Research Institute, University of Southampton, Highfield, Southampton, SO17 1BJ United Kingdom
Abstract: This paper contains an analytic summary of the content of the session Editing by respondents and data suppliers of the UNECE Work Session on Statistical Data Editing (SDE) held at the National Statistical Institute of Spain, Madrid in October 2003. The aim of the session was to collect information about recent trends in data editing. Statistical agencies are changing their traditional view on editing as a post-data collection phase under the control of survey methodologists. Instead, they are moving some of the editing processes to the respondents and data suppliers to prevent and eliminate errors. The session focused on the integration and optimisation of data editing in the collection phase, and the harmonisation of editing processes performed at both the data capturing and data editing stages by balancing expected levels of quality, time and available resources. The session also considered data editing when administrative or external sources of data are used for statistical purposes. A new “mixed” perspective is emerging where editing and imputation is spread over the entire survey process. In particular, the paper concentrates on the following aspects: evaluating data editing effectiveness when editing is spread over different survey phases; managing survey processes when multiple sources of information (statistical or administative) are used; rationalizing survey processes when different modes of data collection are combined; and improving cooperation with data providers.
Keywords: editing and imputation, electronic data collection, external and administrative data, mixed editing strategies
DOI: 10.3233/SJU-2004-21106
Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 21, no. 1, pp. 53-65, 2004
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