Spatial Microsimulation Of Personal Income In Poland At The Level Of Subregions
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DOI: 10.21307/stattrans-2019-028
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- M. Templ & P. Filzmoser, 2014. "Simulation and quality of a synthetic close-to-reality employer--employee population," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(5), pages 1053-1072, May.
- Robert Tanton & Yogi Vidyattama & Binod Nepal & Justine McNamara, 2011. "Small area estimation using a reweighting algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 931-951, October.
- Templ, Matthias & Meindl, Bernhard & Kowarik, Alexander & Dupriez, Olivier, 2017. "Simulation of Synthetic Complex Data: The R Package simPop," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i10).
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Keywords
data integration; spatial microsimulation; small area estimation; synthetic data generation.;All these keywords.
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