Template-type: ReDIF-Paper 1.0
Author-Name: Richard Fabling
Author-Email: richard.fabling@xtra.co.nz
Author-Homepage: https://www.motu.nz/about-us/people/richard-fabling
Author-Workplace-Name: Motu Economic and Public Policy Research
Author-Workplace-Homepage: https://www.motu.nz/
Title: Uneven vaccine uptake across industries
Abstract: Somewhat counterintuitively, workers in the industries most affected by Covid-19 were slower to get vaccinated than workers in the least affected industries. We explain this raw correlation in terms of differences in worker characteristics. On average, less affected industry workers are more qualified and are more likely to have a history of influenza vaccination. Both these characteristics are strongly associated with early vaccine adoption. Worker sorting suggests that employers could be recruited to help close gaps in vaccination rates among hard-to-reach subpopulations.
Classification-JEL: D22, H25, I18
Keywords: Covid-19, vaccination rate, firms, workers, heterogeneity
Note:
Length: 32 pages
Creation-Date: 2026-03-11
Revision-Date: 
Number: 26_05
Publication-Status:
Price: $0.00
File-URL: https://motu-www.motu.org.nz/wpapers/26_05.pdf
File-Format:
File-Restriction:
File-Function:
File-Size: 3697KB
Handle: RePEc:mtu:wpaper:26_05