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M. Templ, B. Meindl:
"Methods and Tools for the Generation of Synthetic Populations. A Brief Review";
in: "Proceedings of the Privacy in Statistical Databases 2014, UNESCO Chair in Data Privacy, International Conference, PSD 2014, Ibiza, Spain, September 17-19, 2014.", J. Domingo-Ferrer (ed.); Springer Verlag, 2014, ISBN: 9783319112565, 10 pages.

Synthetic population data are of use for teaching survey sampling methods, for
comparing methods in design-based simulation studies and for microsimulation studies. Synthetic
population data must be confidential and the methods to simulate synthetic data must
account for data confidentiality.
Synthetic population data can be generated from tables, samples, from populations and from
a mix of macro and microdata. In this contribution, existing methods and tools for the generation
of synthetic populations are summarized and new software tools are briefly mentioned.
We focus on methods that take care of generating not only individuals (agents) but also take
care that these agents are grouped into some structure, typically households.

Statistical Disclosure Control, synthetic data, R

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