2013 •
Generating a synthetic population of individuals in households: Sample-free vs sample-based methods
Authors:
Maxime Lenormand, Guillaume Deffuant
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 al (...)
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. (Read More)
We have placed cookies on your device to help make this website and the services we offer better. By using this site, you agree to the use of cookies. Learn more