Waiting to vote safely: How Covid‐19 safety measures shaped in‐person voter wait times during the 2020 election
Joseph Coll
Social Science Quarterly, 2022, vol. 103, issue 2, 380-398
Abstract:
Objective The aim of this article is to assess the impact of Covid‐19 safety measures on voter wait times during the 2020 U.S. election. Methods Multinomial logistic regression models predicting voter wait times contingent on the presence of Covid safety measures: poll workers wearing face coverings, protective barriers separating voters and workers, voters and booths socially distanced, hand sanitizer, single‐use ballot marking pens, and cleaning voting booths between voters, as well as an additive index of these measures. Results Findings suggest Covid‐safety measures significantly affected voter wait times. Effects vary by Covid safety feature, with face coverings, barriers, social distancing, and cleaning booths increasing voter wait times (typically around 10–30 min), single‐use pens decreasing voter wait times, and hand sanitizer having no effect. Results are further confirmed using an additive index. Conclusion Covid safety features likely increased voter wait times during the 2020 U.S. election, potentially accounting for a portion of the increased voter wait time, compared to previous elections.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/ssqu.13124
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:socsci:v:103:y:2022:i:2:p:380-398
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0038-4941
Access Statistics for this article
Social Science Quarterly is currently edited by Robert L. Lineberry
More articles in Social Science Quarterly from Southwestern Social Science Association
Bibliographic data for series maintained by Wiley Content Delivery ().