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
27-44
Konrad, Anne
3cbe4762-a7ec-4381-9d93-81fffa9ce64b
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
1 March 2023
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), .
(doi:10.2478/JOS-2023-0002).
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.
Text
Konrad_Berger_2022
- Accepted Manuscript
Text
10.2478_jos-2023-0002
- Version of Record
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
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Date deposited: 28 Sep 2022 17:18
Last modified: 17 Mar 2024 07:30
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Author:
Anne Konrad
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