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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Online Access: | https://doi.org/10.1515/jos-2017-0045 |
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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 |
work_keys_str_mv |
AT boeschotenlaura howtoobtainvalidinferenceunderunitnonresponse AT vinkgerko howtoobtainvalidinferenceunderunitnonresponse AT hoxjoopjcm howtoobtainvalidinferenceunderunitnonresponse |
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