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An appraisal of common reweighting methods for nonresponse in household surveys based on Norwegian Labour Force Survey and Statistics on Income and Living Conditions Survey

An appraisal of common reweighting methods for nonresponse in household surveys based on Norwegian Labour Force Survey and Statistics on Income and Living Conditions Survey
An appraisal of common reweighting methods for nonresponse in household surveys based on Norwegian Labour Force Survey and Statistics on Income and Living Conditions Survey

Despite increasing efforts during data collection, nonresponse remains sizeable in many household surveys. Statistical adjustment is hence unavoidable. By reweighting the design, weights of the respondents are adjusted to compensate for nonresponse. However, there is no consensus on how this should be carried out in general. Theoretical comparisons are inconclusive in the literature, and the associated simulation studies involve hypothetical situations not all equally relevant to reality. In this article we evaluate the three most common reweighting approaches in practice, based on real data in Norway from the two largest household surveys in the European Statistical System. We demonstrate how cross- examination of various reweighting estimators can help inform the effectiveness of the available auxiliary variables and the choice of the weight adjustment method.

Unit nonresponse, auxiliary variable selection, doubly robust estimation, generalised regression estimation, inverse propensity weighting
0282-423X
151-172
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Nguyen, Nancy
77e3d919-fa0a-4e5d-b720-809507ed2a77
Zhang, Li-Chun
a5d48518-7f71-4ed9-bdcb-6585c2da3649
Nguyen, Nancy
77e3d919-fa0a-4e5d-b720-809507ed2a77

Zhang, Li-Chun and Nguyen, Nancy (2020) An appraisal of common reweighting methods for nonresponse in household surveys based on Norwegian Labour Force Survey and Statistics on Income and Living Conditions Survey. Journal of Official Statistics, 36 (1), 151-172. (doi:10.2478/JOS-2020-0008).

Record type: Article

Abstract

Despite increasing efforts during data collection, nonresponse remains sizeable in many household surveys. Statistical adjustment is hence unavoidable. By reweighting the design, weights of the respondents are adjusted to compensate for nonresponse. However, there is no consensus on how this should be carried out in general. Theoretical comparisons are inconclusive in the literature, and the associated simulation studies involve hypothetical situations not all equally relevant to reality. In this article we evaluate the three most common reweighting approaches in practice, based on real data in Norway from the two largest household surveys in the European Statistical System. We demonstrate how cross- examination of various reweighting estimators can help inform the effectiveness of the available auxiliary variables and the choice of the weight adjustment method.

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More information

e-pub ahead of print date: 17 March 2020
Published date: 19 March 2020
Additional Information: Copyright Statistics Sweden
Keywords: Unit nonresponse, auxiliary variable selection, doubly robust estimation, generalised regression estimation, inverse propensity weighting

Identifiers

Local EPrints ID: 438912
URI: http://eprints.soton.ac.uk/id/eprint/438912
ISSN: 0282-423X
PURE UUID: b7e7034d-911d-4bc9-814a-72c5506d5563
ORCID for Li-Chun Zhang: ORCID iD orcid.org/0000-0002-3944-9484

Catalogue record

Date deposited: 26 Mar 2020 17:31
Last modified: 17 Mar 2024 03:30

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Contributors

Author: Li-Chun Zhang ORCID iD
Author: Nancy Nguyen

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