<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This article introduces and discusses a method for conducting an analysis of nonresponse for a longitudinal establishment survey using regression trees. The methodology consists of three parts: analysis during the frame refinement and enrollment phases, common in longitudinal surveys; analysis of the effect of time on response rates during data collection; and analysis of the potential for nonresponse bias. For all three analyses, regression tree models are used to identify establishment characteristics and subgroups of establishments that represent vulnerabilities during the data collection process. This information could be used to direct additional resources to collecting data from identified establishments in order to improve the response rate.</p></abstract>

This article introduces and discusses a method for conducting an analysis of nonresponse for a longitudinal establishment survey using regression trees. The methodology consists of three parts: analysis during the frame refinement and enrollment phases, common in longitudinal surveys; analysis of the effect of time on response rates during data collection; and analysis of the potential for nonresponse bias. For all three analyses, regression tree models are used to identify establishment characteristics and subgroups of establishments that represent vulnerabilities during the data collection process. This information could be used to direct additional resources to collecting data from identified establishments in order to improve the response rate.

Assessing Nonresponse in a Longitudinal Establishment Survey Using Regression Trees

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This article introduces and discusses a method for conducting an analysis of nonresponse for a longitudinal establishment survey using regression trees. The...

Assessing Nonresponse in a Longitudinal Establishment Survey Using Regression Trees

Online veröffentlicht: 07. Juni 2018

Seitenbereich: 463 - 481

Eingereicht: 01. Nov. 2016

Akzeptiert: 01. Nov. 2017

DOI: https://doi.org/10.2478/jos-2018-0021

Schlüsselwörter
Bureau of Labor Statistics, job openings and Labor Turnover Survey, response rates, panel survey, rpms

© 2018 Morgan Earp et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Assessing Nonresponse in a Longitudinal Establishment Survey Using Regression Trees

Online veröffentlicht: 07. Juni 2018

Seitenbereich: 463 - 481

Eingereicht: 01. Nov. 2016

Akzeptiert: 01. Nov. 2017

DOI: https://doi.org/10.2478/jos-2018-0021

SchlüsselwörterBureau of Labor Statistics, job openings and Labor Turnover Survey, response rates, panel survey, rpms

© 2018 Morgan Earp et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Bureau of Labor Statistics, job openings and Labor Turnover Survey, response rates, panel survey, rpms