The University of Southampton
University of Southampton Institutional Repository

People born in the Middle East but residing in the Netherlands: invariant population size estimates and the role of active and passive covariates

Record type: Article

Including covariates in loglinear models of population registers improves population size estimates for two reasons. First, it is possible to take heterogeneity of inclusion probabilities over the levels of a covariate into account; and second, it allows subdivision of the estimated population by the levels of the covariates, giving insight into characteristics of individuals that are not included in any of the registers. The issue of whether or not marginalizing the full table of registers by covariates over one or more covariates leaves the estimated population size estimate invariant is intimately related to collapsibility of contingency tables [Biometrika 70 (1983) 567–578]. We show that, with information from two registers, population size invariance is equivalent to the simultaneous collapsibility of each margin consisting of one register and the covariates. We give a short path characterization of the loglinear model which describes when marginalizing over a covariate leads to different population size estimates. Covariates that are collapsible are called passive, to distinguish them from covariates that are not collapsible and are termed active. We make the case that it can be useful to include passive covariates within the estimation model, because they allow a finer description of the population in terms of these covariates. As an example we discuss the estimation of the population size of people born in the Middle East but residing in the Netherlands

Full text not available from this repository.

Citation

van der Heijden, Peter G.M., Whittaker, Joe, Cruyff, Maarten, Bakker, Bart and van der Vliet, Rik (2012) People born in the Middle East but residing in the Netherlands: invariant population size estimates and the role of active and passive covariates The Annals of Applied Statistics, 6, (3), pp. 831-852. (doi:10.1214/12-AOAS536SUPP).

More information

Published date: 2012
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 344644
URI: http://eprints.soton.ac.uk/id/eprint/344644
ISSN: 1932-6157
PURE UUID: 4924ec5b-c1d1-49e4-b493-d901b4962942

Catalogue record

Date deposited: 07 Nov 2012 14:56
Last modified: 18 Jul 2017 05:15

Export record

Altmetrics

Contributors

Author: Joe Whittaker
Author: Maarten Cruyff
Author: Bart Bakker
Author: Rik van der Vliet

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×