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Activity Number:
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167
- Data Mining and Econometrics
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Type:
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Contributed
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Date/Time:
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Tuesday, August 10, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Business and Economic Statistics Section
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Abstract #318722
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Title:
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Are Respondents Changing the Way They Self-Select Their Industry Due to the COVID-19 Pandemic?
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Author(s):
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Sania Khan and Emily Thomas*
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Companies:
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US Bureau of Labor Statistics and US Bureau of Labor Statistics
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Keywords:
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COVID-19;
Pandemic;
Self Selection;
NAICS;
Industry;
Establishment
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Abstract:
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This paper examines capturing the potential shifts in industries due to the COVID-10 pandemic, and studies if respondents are changing the way they are self-selecting their industry during this time. By using the Annual Refiling Survey (ARS) data as a basis for our analysis, we compare the shifts in industry and the changes respondents are making when selecting their North American Industry Classification System (NAICS) code. The paper describes the new methods we developed to compare these changes and if the changes are statistically significant at the industry or sector levels. We end with thought provoking questions such as if our self-selection tool will have to change moving forward and how to use smarter techniques to capture these changes.
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Authors who are presenting talks have a * after their name.
