<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article describes a Bayesian approach to deriving population estimates from multiple administrative data sources. Coverage rates play an important role in the approach: identifying anomalies in coverage rates is a key step in the model-building process, and data sources receive more weight within the model if their coverage rates are more consistent. Random variation in population processes and measurement processes is dealt with naturally within the model, and all outputs come with measures of uncertainty. The model is applied to the problem of estimating regional populations in New Zealand. The New Zealand example illustrates the continuing importance of coverage surveys.</p></abstract>

The article describes a Bayesian approach to deriving population estimates from multiple administrative data sources. Coverage rates play an important role in the approach: identifying anomalies in coverage rates is a key step in the model-building process, and data sources receive more weight within the model if their coverage rates are more consistent. Random variation in population processes and measurement processes is dealt with naturally within the model, and all outputs come with measures of uncertainty. The model is applied to the problem of estimating regional populations in New Zealand. The New Zealand example illustrates the continuing importance of coverage surveys.

A Bayesian Approach to Population Estimation with Administrative Data

Statistics New Zealand – Population Statistics, Dollan House Private Bag 4741, Christchurch 8140, New Zealand.

Statistics New Zealand, Statistical Methods, Dollan House Private Bag 4741, Christchurch 8140, New Zealand

Journal of Official Statistics

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

{"article-title":"A Bayesian Approach to Population Estimation with Administrative Data"}

The article describes a Bayesian approach to deriving population estimates from multiple administrative data sources. Coverage rates play an important role in...

A Bayesian Approach to Population Estimation with Administrative Data

Online veröffentlicht: 01. Sept. 2015

Seitenbereich: 475 - 487

Eingereicht: 01. Jan. 2014

Akzeptiert: 01. Nov. 2014

DOI: https://doi.org/10.1515/jos-2015-0028

Schlüsselwörter
Bayesian, official statistics, demography, administrative data.

© by John R. Bryant

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

A Bayesian Approach to Population Estimation with Administrative Data

Online veröffentlicht: 01. Sept. 2015

Seitenbereich: 475 - 487

Eingereicht: 01. Jan. 2014

Akzeptiert: 01. Nov. 2014

DOI: https://doi.org/10.1515/jos-2015-0028

SchlüsselwörterBayesian, official statistics, demography, administrative data.

© by John R. Bryant

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

Schlüsselwörter
Bayesian, official statistics, demography, administrative data.