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Activity Number:
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365
- SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 10:30 AM to 11:15 AM
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Sponsor:
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Government Statistics Section
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Abstract #332612
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Title:
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NAICS 2017: a New Process Yields Interesting Results
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Author(s):
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Sania Khan* and Emily Thomas and Sharon S Stang
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Companies:
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US Bureau of Labor Statitics and US Bureau of Labor Statistics and US Bureau of Labor Statitsics
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Keywords:
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NAICS;
web collection;
administrative data
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Abstract:
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The Bureau of Labor Statistics' Quarterly Census of Employment and Wages (QCEW) is a federal/state cooperative program that publishes a count of monthly employment and total quarterly wages. Every five years the North American Industry Classification System (NAICS) is updated to account for emerging and changing industries. For NAICS 2017, QCEW introduced a new, respondent-driven approach for updating the frame to the NAICS 2017 codes. A cost-effective and web-based methodology was developed to allow respondents to self-select a new industry classification. This paper outlines the new data collection process, efficiencies realized, and resulting data quality. In 2017, a higher proportion of respondents selected an unexpected, new industry code compared to prior revisions in 2012. We examine reasons for this difference including data collection improvements and the industries involved.
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Authors who are presenting talks have a * after their name.
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