Generating a synthetic population of individuals in households: Sample-free vs sample-based methods

Abstract

We compare a sample-free method proposed by Gargiulo et al. (2010) and a sample-based method proposed by Ye et al. (2009) for generating a synthetic population, organised in households, from various statistics. We generate a reference population for a French region including 1310 municipalities and measure how both methods approximate it from a set of statistics dervied from this reference population. We also perform sensitivity analysis. The sample-free method better fits the reference distributions of both individuals and households. It is also less data demanding but it requires more pre-processing. The quality of the results for the sample-based method is highly dependent on the quality of the initial sample.

arXiv comment10 pages, 5 figures

References in corpus (1)

• An iterative approach for generating statistically realistic populations of households

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