Generating a synthetic population of individuals in households: Sample-free vs sample-based methods
Applications
2018-12-27 v2 Statistics Theory
Statistics Theory
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.
Keywords
Cite
@article{arxiv.1208.6403,
title = {Generating a synthetic population of individuals in households: Sample-free vs sample-based methods},
author = {Maxime Lenormand and Guillaume Deffuant},
journal= {arXiv preprint arXiv:1208.6403},
year = {2018}
}
Comments
10 pages, 5 figures