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

<p>Obtaining reliable estimates in small areas is a challenge because of the coverage and periodicity of data collection. Several techniques of small area estimation have been proposed to produce quality measures in small areas, but few of them are focused on updating these estimates. By combining the attributes of the most recent versions of the structure-preserving estimation methods, this article proposes a new alternative to estimate and update cross-classified counts for small domains, when the variable of interest is not available in the census. The proposed methodology is used to obtain and up-date estimates of the incidence of poverty in 81 Costa Rican cantons for six postcensal years (2012–2017). As uncertainty measures, mean squared errors are estimated via parametric bootstrap, and the adequacy of the proposed method is assessed with a design-based simulation.</p>
</abstract>

Obtaining reliable estimates in small areas is a challenge because of the coverage and periodicity of data collection. Several techniques of small area estimation have been proposed to produce quality measures in small areas, but few of them are focused on updating these estimates. By combining the attributes of the most recent versions of the structure-preserving estimation methods, this article proposes a new alternative to estimate and update cross-classified counts for small domains, when the variable of interest is not available in the census. The proposed methodology is used to obtain and up-date estimates of the incidence of poverty in 81 Costa Rican cantons for six postcensal years (2012–2017). As uncertainty measures, mean squared errors are estimated via parametric bootstrap, and the adequacy of the proposed method is assessed with a design-based simulation.

Small Area Estimates of Poverty Incidence in Costa Rica under a Structure Preserving Estimation (SPREE) Approach

Journal of Official Statistics

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

Obtaining reliable estimates in small areas is a challenge because of the coverage and periodicity of data collection. Several techniques of small area...

Small Area Estimates of Poverty Incidence in Costa Rica under a Structure Preserving Estimation (SPREE) Approach

Online veröffentlicht: 10. Dez. 2023

Seitenbereich: 435 - 458

Eingereicht: 01. Juni 2021

Akzeptiert: 01. März 2023

DOI: https://doi.org/10.2478/jos-2023-0021

Schlüsselwörter
Extreme poverty, intercensal updating, small area estimation, log-linear models

© 2023 Alejandra Arias-Salazar, published by Sciendo

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

Small Area Estimates of Poverty Incidence in Costa Rica under a Structure Preserving Estimation (SPREE) Approach

Online veröffentlicht: 10. Dez. 2023

Seitenbereich: 435 - 458

Eingereicht: 01. Juni 2021

Akzeptiert: 01. März 2023

DOI: https://doi.org/10.2478/jos-2023-0021

SchlüsselwörterExtreme poverty, intercensal updating, small area estimation, log-linear models

© 2023 Alejandra Arias-Salazar, published by Sciendo

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

Schlüsselwörter
Extreme poverty, intercensal updating, small area estimation, log-linear models