Improving Identification of Gig Workers in National Health and Behavior Surveys

This paper describes the work-related information collected in several important U.S. national health and behavior surveys, to highlight data gaps that prevent identifying responses by vulnerable workers in the gig economy, with emphasis on the growing digital platform sector of the work force. The...

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Bibliographic Details
Published in:New solutions 2024-11, Vol.34 (3), p.172-181
Main Authors: Ofonedu, Michael Chidera, Frey, Jodi J., Ware, Orrin D., Hoke, Kathleen, Mitchell, Clifford S., Cloeren, Marianne
Format: Article
Language:English
Subjects:
Behavior
Censuses
Classification
Employers
Gig economy
Health
Information systems
Polls & surveys
Surveys
Work
Workers
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Summary:This paper describes the work-related information collected in several important U.S. national health and behavior surveys, to highlight data gaps that prevent identifying responses by vulnerable workers in the gig economy, with emphasis on the growing digital platform sector of the work force. The national information systems used to understand health status and health behaviors, including drug use, rely on outdated census categories for self-employed workers. This paper describes the importance of understanding the needs of this growing part of the labor sector and describes how some of the most well-known and utilized national surveys fail to meet this need. For the agencies conducting national health and behavior surveys, we propose revisions to the categories used to classify type of worker and recommend adoption of a new Worker-Employer Relationship Classification model.
ISSN:1048-2911
1541-3772
1541-3772
DOI:10.1177/10482911241269313