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

Maxime Lenormand (1) , Guillaume Deffuant (1)

1 UR LISC - Laboratoire d'ingénierie pour les systèmes complexes

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.

Mots clés: Synthetic population; Sample-free; Iterative Proportional Fitting; Household; Individual

Domaines: Statistiques [math.ST]; Théorie [stat.TH]

Maxime Lenormand, Guillaume Deffuant. Generating a synthetic population of individuals in households: Sample-free vs sample-based methods. Journal of Artificial Societies and Social Simulation, 2013, 16 (4), pp.12. ⟨hal-00725531v2⟩