Abstract
In an international context such as the EU, the release of a microdata set where a single SDC method is applied to many different countries has proved in many cases to be quite difficult. Some countries denied their participation to the release, others applied own methods. The adoption of different unrelated methods could be a reasonable solution for isolated NSIs, but at European level there is the ambition of joining national protected data files to reach a coherent European database. An uncoordinated application of SDC methods in Europe is not an ideal situation for the users. This problem was approached during a project funded by Eurostat. In this paper we report on the results obtained when implementing the methodological framework proposed in [16]. The model proposes to achieve harmonisation of SDC process through the harmonisation of methodology at the input and the provision of harmonised and objective measures for the output; These combined actions enable a certain degree of flexibility to the whole process, allow for better adaptation to national context and improve global efficiency. The European Structure of Earnings Survey represents the case-study. Different methods are applied to Italian, Dutch and Austrian microdata and results are analysed. Only the harmonisation of multiple microdata releases from a single survey is discussed in this work.
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Franconi, L., Ichim, D. (2012). Achieving Comparability of Earnings. In: Domingo-Ferrer, J., Tinnirello, I. (eds) Privacy in Statistical Databases. PSD 2012. Lecture Notes in Computer Science, vol 7556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33627-0_15
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DOI: https://doi.org/10.1007/978-3-642-33627-0_15
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