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A multivariate regression estimator of levels and change for surveys over time: Regression estimator for survey over time

A multivariate regression estimator of levels and change for surveys over time: Regression estimator for survey over time
A multivariate regression estimator of levels and change for surveys over time: Regression estimator for survey 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 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.
Generalized regression estimation, composite estimator, rotating samples
0282-423X
27-44
Konrad, Anne
3cbe4762-a7ec-4381-9d93-81fffa9ce64b
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Konrad, Anne
3cbe4762-a7ec-4381-9d93-81fffa9ce64b
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b

Konrad, Anne and Berger, Yves (2023) A multivariate regression estimator of levels and change for surveys over time: Regression estimator for survey over time. Journal of Official Statistics, 39 (1), 27-44. (doi:10.2478/JOS-2023-0002).

Record type: Article

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.

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Konrad_Berger_2022 - Accepted Manuscript
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More information

Accepted/In Press date: 9 August 2022
Published date: 1 March 2023
Additional Information: Publisher Copyright: © 2023 Anne Konrad et al., published by Sciendo.
Keywords: Generalized regression estimation, composite estimator, rotating samples

Identifiers

Local EPrints ID: 469942
URI: http://eprints.soton.ac.uk/id/eprint/469942
ISSN: 0282-423X
PURE UUID: 25596338-8ae9-42eb-83d4-c66c8522bcd5
ORCID for Yves Berger: ORCID iD orcid.org/0000-0002-9128-5384

Catalogue record

Date deposited: 28 Sep 2022 17:18
Last modified: 09 Sep 2023 04:01

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Contributors

Author: Anne Konrad
Author: Yves Berger ORCID iD

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