Adaptive Survey Design for the Dutch Labour Force Survey

Kees van Berkel

doi:doi:10.11648/j.ajtas.20221104.12

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Adaptive Survey Design for the Dutch Labour Force Survey

Kees van Berkel

Published in American Journal of Theoretical and Applied Statistics (Volume 11, Issue 4)

Received: 19 July 2022 Accepted: 23 August 2022 Published: 31 August 2022

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Abstract

A challenge for the National Statistical Institutes is to produce reliable statistics with a limited budget for data collection. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done on the impact on quality and costs of reducing the use of interviewers in mixed-mode surveys that start with Internet observation, followed by telephone or face-to-face observation of Internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. For this purpose, a methodology has been developed in this paper. The methodology is applied in the development of an adaptive survey design for the Dutch Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and some response and survey results.

Published in	American Journal of Theoretical and Applied Statistics (Volume 11, Issue 4)
DOI	10.11648/j.ajtas.20221104.12
Page(s)	114-121
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Balanced Response, Nonresponse Bias, Accuracy, Data Collection

References

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Kees van Berkel. (2022). Adaptive Survey Design for the Dutch Labour Force Survey. American Journal of Theoretical and Applied Statistics, 11(4), 114-121. https://doi.org/10.11648/j.ajtas.20221104.12

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Kees van Berkel. Adaptive Survey Design for the Dutch Labour Force Survey. Am. J. Theor. Appl. Stat. 2022, 11(4), 114-121. doi: 10.11648/j.ajtas.20221104.12

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Kees van Berkel. Adaptive Survey Design for the Dutch Labour Force Survey. Am J Theor Appl Stat. 2022;11(4):114-121. doi: 10.11648/j.ajtas.20221104.12

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@article{10.11648/j.ajtas.20221104.12,
  author = {Kees van Berkel},
  title = {Adaptive Survey Design for the Dutch Labour Force Survey},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {11},
  number = {4},
  pages = {114-121},
  doi = {10.11648/j.ajtas.20221104.12},
  url = {https://doi.org/10.11648/j.ajtas.20221104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20221104.12},
  abstract = {A challenge for the National Statistical Institutes is to produce reliable statistics with a limited budget for data collection. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done on the impact on quality and costs of reducing the use of interviewers in mixed-mode surveys that start with Internet observation, followed by telephone or face-to-face observation of Internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. For this purpose, a methodology has been developed in this paper. The methodology is applied in the development of an adaptive survey design for the Dutch Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and some response and survey results.},
 year = {2022}
}

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TY  - JOUR
T1  - Adaptive Survey Design for the Dutch Labour Force Survey
AU  - Kees van Berkel
Y1  - 2022/08/31
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtas.20221104.12
DO  - 10.11648/j.ajtas.20221104.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 114
EP  - 121
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20221104.12
AB  - A challenge for the National Statistical Institutes is to produce reliable statistics with a limited budget for data collection. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done on the impact on quality and costs of reducing the use of interviewers in mixed-mode surveys that start with Internet observation, followed by telephone or face-to-face observation of Internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. For this purpose, a methodology has been developed in this paper. The methodology is applied in the development of an adaptive survey design for the Dutch Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and some response and survey results.
VL  - 11
IS  - 4
ER  -

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Author Information

Kees van Berkel

Statistics Netherlands, Division of Data Services, Research and Innovation, Heerlen, the Netherlands

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APA Style

Kees van Berkel. (2022). Adaptive Survey Design for the Dutch Labour Force Survey. American Journal of Theoretical and Applied Statistics, 11(4), 114-121. https://doi.org/10.11648/j.ajtas.20221104.12

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ACS Style

Kees van Berkel. Adaptive Survey Design for the Dutch Labour Force Survey. Am. J. Theor. Appl. Stat. 2022, 11(4), 114-121. doi: 10.11648/j.ajtas.20221104.12

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AMA Style

Kees van Berkel. Adaptive Survey Design for the Dutch Labour Force Survey. Am J Theor Appl Stat. 2022;11(4):114-121. doi: 10.11648/j.ajtas.20221104.12

Copy | Download

@article{10.11648/j.ajtas.20221104.12,
  author = {Kees van Berkel},
  title = {Adaptive Survey Design for the Dutch Labour Force Survey},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {11},
  number = {4},
  pages = {114-121},
  doi = {10.11648/j.ajtas.20221104.12},
  url = {https://doi.org/10.11648/j.ajtas.20221104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20221104.12},
  abstract = {A challenge for the National Statistical Institutes is to produce reliable statistics with a limited budget for data collection. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done on the impact on quality and costs of reducing the use of interviewers in mixed-mode surveys that start with Internet observation, followed by telephone or face-to-face observation of Internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. For this purpose, a methodology has been developed in this paper. The methodology is applied in the development of an adaptive survey design for the Dutch Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and some response and survey results.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Adaptive Survey Design for the Dutch Labour Force Survey
AU  - Kees van Berkel
Y1  - 2022/08/31
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtas.20221104.12
DO  - 10.11648/j.ajtas.20221104.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 114
EP  - 121
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20221104.12
AB  - A challenge for the National Statistical Institutes is to produce reliable statistics with a limited budget for data collection. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done on the impact on quality and costs of reducing the use of interviewers in mixed-mode surveys that start with Internet observation, followed by telephone or face-to-face observation of Internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. For this purpose, a methodology has been developed in this paper. The methodology is applied in the development of an adaptive survey design for the Dutch Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and some response and survey results.
VL  - 11
IS  - 4
ER  -

Copy | Download