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

<p>Rotations are often used for panel surveys, where the observations remain in the sample for a predefined number of periods and then rotate out. The information of previous waves can be exploited to improve current estimates. We propose a multivariate regression estimator which captures all information available from both waves. By adding additional auxiliary variables describing the information of the rotational design, the proposed estimator captures the sample correlation between waves. It can be used for the estimation of levels and changes.</p>
</abstract>

Rotations are often used for panel surveys, where the observations remain in the sample for a predefined number of periods and then rotate out. The information of previous waves can be exploited to improve current estimates. We propose a multivariate regression estimator which captures all information available from both waves. By adding additional auxiliary variables describing the information of the rotational design, the proposed estimator captures the sample correlation between waves. It can be used for the estimation of levels and changes.

A Multivariate Regression Estimator of Levels and Change for Surveys Over Time

Journal of Official Statistics

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

{"article-title":"A Multivariate Regression Estimator of Levels and Change for Surveys Over Time"}

Rotations are often used for panel surveys, where the observations remain in the sample for a predefined number of periods and then rotate out. The information...

A Multivariate Regression Estimator of Levels and Change for Surveys Over Time

Pubblicato online: 16 mar 2023

Pagine: 27 - 44

Ricevuto: 01 dic 2021

Accettato: 01 ago 2022

DOI: https://doi.org/10.2478/jos-2023-0002

Parole chiave
Generalized regression estimation, composite estimator, rotating samples

© 2023 Anne Konrad et al., published by Sciendo

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

A Multivariate Regression Estimator of Levels and Change for Surveys Over Time

Pubblicato online: 16 mar 2023

Pagine: 27 - 44

Ricevuto: 01 dic 2021

Accettato: 01 ago 2022

DOI: https://doi.org/10.2478/jos-2023-0002

Parole chiaveGeneralized regression estimation, composite estimator, rotating samples

© 2023 Anne Konrad et al., published by Sciendo

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

Parole chiave
Generalized regression estimation, composite estimator, rotating samples