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

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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of artificial societies and social simulation Vol. 16; no. 4
Main Authors:	Lenormand, Maxime, Deffuant, Guillaume
Format:	Journal Article
Language:	English
Published:	SimSoc Consortium 01-10-2013
Subjects:	Distribution France Households Mathematics Population Sampling Simulation Statistical analysis Statistics Statistics Theory Sample-free Synthetic population Iterative Proportional Fitting Individual Household
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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. Adapted from the source document.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	1460-7425 1460-7425
DOI:	10.18564/jasss.2319