Generating a Synthetic Population of Individuals in Households: Sample-Free Vs Sample-Based Methods

Maxime Lenormand () and Guillaume Deffuant ()
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Guillaume Deffuant: http://motive.cemagref.fr/people/guillaume.deffuant

Journal of Artificial Societies and Social Simulation, 2013, vol. 16, issue 4, 12

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 derived from this reference population. We also perform a 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.

Keywords: Synthetic Populations; Sample-Free; Iterative Proportional Updating; Sample Based Method; Microsimulation (search for similar items in EconPapers)
Date: 2013-10-31
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