Hostname: page-component-5db58dd55d-xnzfm Total loading time: 0 Render date: 2026-06-13T22:49:20.181Z Has data issue: false hasContentIssue false

Automatic Voter Reregistration as a Housewarming Gift: Quantifying Causal Effects on Turnout Using Movers

Published online by Cambridge University Press:  11 October 2022

SEO-YOUNG SILVIA KIM*
Affiliation:
American University, United States
*
Seo-young Silvia Kim, Assistant Professor, Department of Government, American University, United States, sskim.research@gmail.com.

Abstract

How much can automatic voter registration (AVR) increase turnout? Unlike in many democracies, most American voters face the additional cost of registration, resulting in potential disenfranchisement. Automatic voter registration is naturally expected to promote turnout, but its causal effects have rarely been quantified due to violations of crucial assumptions. I show that a variation of AVR that targets existing registrants as opposed to eligible nonregistrants—termed automatic reregistration (ARR)—increases turnout by 5.8 percentage points. I exploit a natural experiment in a novel administrative dataset; election officials in Orange County, California, notified existing registrants who moved within-county that their residential addresses were automatically updated. The treatment alleviated registrants of reregistration burdens, but only for those who moved before the legal cutoff date, enabling a quasi-random treatment assignment. Contrary to the popular narrative, ARR had no significant effect on the turnout of registered Democrats, but Republicans’ and nonpartisans’ turnout increased by 8.1 and 7.4 percentage points, respectively.

Information

Type
Letter
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the American Political Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Link
Supplementary material: PDF

Kim supplementary material

Kim supplementary material

Download Kim supplementary material(PDF)
PDF 223.4 KB
Submit a response

Comments

No Comments have been published for this article.