<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Estimation of the unknown population size using capture-recapture techniques relies on the key assumption that the capture probabilities are homogeneous across individuals in the population. This is usually accomplished via post-stratification by some key covariates believed to influence individual catchability. Another issue that arises in population estimation from data collected from multiple sources is list dependence, where an individual’s catchability on one list is related to that of another list. The earlier models for population estimation heavily relied upon list independence. However, there are methods available that can adjust the population estimates to account for dependence among lists. In this article, we propose the use of latent class analysis through log-linear modelling to estimate the population size in the presence of both heterogeneity and list dependence. The proposed approach is illustrated using data from the 1988 US census dress rehearsal.</p>
</abstract>

Estimation of the unknown population size using capture-recapture techniques relies on the key assumption that the capture probabilities are homogeneous across individuals in the population. This is usually accomplished via post-stratification by some key covariates believed to influence individual catchability. Another issue that arises in population estimation from data collected from multiple sources is list dependence, where an individual’s catchability on one list is related to that of another list. The earlier models for population estimation heavily relied upon list independence. However, there are methods available that can adjust the population estimates to account for dependence among lists. In this article, we propose the use of latent class analysis through log-linear modelling to estimate the population size in the presence of both heterogeneity and list dependence. The proposed approach is illustrated using data from the 1988 US census dress rehearsal.

Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses

Department of Social Statistics and Demography

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Estimation of the unknown population size using capture-recapture techniques relies on the key assumption that the capture probabilities are homogeneous across...

Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses

Pubblicato online: 13 set 2021

Pagine: 673 - 697

Ricevuto: 01 apr 2019

Accettato: 01 lug 2020

DOI: https://doi.org/10.2478/jos-2021-0030

Parole chiave
Capture-recapture, latent class analysis, log-linear models

© 2021 Bernard Baffour et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses

Pubblicato online: 13 set 2021

Pagine: 673 - 697

Ricevuto: 01 apr 2019

Accettato: 01 lug 2020

DOI: https://doi.org/10.2478/jos-2021-0030

Parole chiaveCapture-recapture, latent class analysis, log-linear models

© 2021 Bernard Baffour et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Capture-recapture, latent class analysis, log-linear models