How to Obtain Valid Inference under Unit Nonresponse?

Weighting methods are commonly used in situations of unit nonresponse with linked register data. However, several arguments in terms of valid inference and practical usability can be made against the use of weighting methods in these situations. Imputation methods such as sample and mass imputation...

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Main Authors: Boeschoten Laura, Vink Gerko, Hox Joop J.C.M.
Format: Article
Language:English
Published: Sciendo 2017-12-01
Series:Journal of Official Statistics
Subjects:
Online Access:https://doi.org/10.1515/jos-2017-0045
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spelling doaj-64be19623e68457ba2985087e961fa122021-09-06T19:40:52ZengSciendoJournal of Official Statistics2001-73672017-12-0133496397810.1515/jos-2017-0045jos-2017-0045How to Obtain Valid Inference under Unit Nonresponse?Boeschoten Laura0Vink Gerko1Hox Joop J.C.M.2Tilburg School of Social and Behavioral Sciences, Tilburg University, Warandelaan 2, 5037 AB Tilburg, The Netherlands.Department of Methodology&Statistics, Utrecht University, Padualaan 14, 3584 CH Utrecht, The Netherlands.Department of Methodology&Statistics, Utrecht University, Padualaan 14, 3584 CH Utrecht, The Netherlands.Weighting methods are commonly used in situations of unit nonresponse with linked register data. However, several arguments in terms of valid inference and practical usability can be made against the use of weighting methods in these situations. Imputation methods such as sample and mass imputation may be suitable alternatives, as they lead to valid inference in situations of item nonresponse and have some practical advantages. In a simulation study, sample and mass imputation were compared to traditional weighting when dealing with unit nonresponse in linked register data. Methods were compared on their bias and coverage in different scenarios. Both, sample and mass imputation, had better coverage than traditional weighting in all scenarios.https://doi.org/10.1515/jos-2017-0045weightingmass imputationsample imputationcoverage
collection DOAJ
language English
format Article
sources DOAJ
author Boeschoten Laura
Vink Gerko
Hox Joop J.C.M.
spellingShingle Boeschoten Laura
Vink Gerko
Hox Joop J.C.M.
How to Obtain Valid Inference under Unit Nonresponse?
Journal of Official Statistics
weighting
mass imputation
sample imputation
coverage
author_facet Boeschoten Laura
Vink Gerko
Hox Joop J.C.M.
author_sort Boeschoten Laura
title How to Obtain Valid Inference under Unit Nonresponse?
title_short How to Obtain Valid Inference under Unit Nonresponse?
title_full How to Obtain Valid Inference under Unit Nonresponse?
title_fullStr How to Obtain Valid Inference under Unit Nonresponse?
title_full_unstemmed How to Obtain Valid Inference under Unit Nonresponse?
title_sort how to obtain valid inference under unit nonresponse?
publisher Sciendo
series Journal of Official Statistics
issn 2001-7367
publishDate 2017-12-01
description Weighting methods are commonly used in situations of unit nonresponse with linked register data. However, several arguments in terms of valid inference and practical usability can be made against the use of weighting methods in these situations. Imputation methods such as sample and mass imputation may be suitable alternatives, as they lead to valid inference in situations of item nonresponse and have some practical advantages. In a simulation study, sample and mass imputation were compared to traditional weighting when dealing with unit nonresponse in linked register data. Methods were compared on their bias and coverage in different scenarios. Both, sample and mass imputation, had better coverage than traditional weighting in all scenarios.
topic weighting
mass imputation
sample imputation
coverage
url https://doi.org/10.1515/jos-2017-0045
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AT vinkgerko howtoobtainvalidinferenceunderunitnonresponse
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