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IPS102 Sigita G. et al.
original distribution of key variables. From the resulting three-dimensional
ICW micro data set a variety of indicators can be produced, notably saving
rates for different groups of households. These indicators have to be
interpreted with care though due to the unproven assumptions that the
method is based on.

References
1. D'Orazio, M., Di Zio, M. and Scanu M. (2006), “Statistical matching:
Theory and practice”, John Wiley & Sons.
2. Törmälehto V.-M. (2018), “Reconciliation of EU-SILC data with national
accounts”, 2018 Net-SILC3 International Conference.
3. UNECE 2011, Canberra Group Handbook on Household Income
Statistics
4. Zwijnenburg J., (OECD) (2016), “Further Enhancing The Work On
Household Distributional Data –Techniques For Bridging Gaps Between
Micro And Macro Results And Nowcasting Methodologies For
Compiling More Timely Results”.

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