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Evaluating the Quality of Changes in Voter Registration Databases

Kim, Seo-young Silvia and Schneider, Spencer and Alvarez, R. Michael (2020) Evaluating the Quality of Changes in Voter Registration Databases. American Politics Research, 48 (6). pp. 670-676. ISSN 1532-673X. doi:10.1177/1532673X19870512.

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The administration of elections depends crucially upon the quality and integrity of voter registration databases. In addition, political scientists are increasingly using these databases in their research. However, these databases are dynamic and may be subject to external manipulation and unintentional errors. In this article, using data from Orange County, California, we develop two methods for evaluating the quality of voter registration data as it changes over time: (a) generating audit data by repeated record linkage across periodic snapshots of a given database and monitoring it for sudden anomalous changes and (b) identifying duplicates via an efficient, automated duplicate detection, and tracking new duplicates and deduplication efforts over time. We show that the generated data can serve not only to evaluate voter file quality and election integrity but also as a novel source of data on election administration practices.

Item Type:Article
Related URLs:
URLURL TypeDescription
Kim, Seo-young Silvia0000-0002-8801-9210
Alvarez, R. Michael0000-0002-8113-4451
Additional Information:© 2019 by SAGE Publications. Article first published online: September 9, 2019; Issue published: November 1, 2020.
Subject Keywords:voter registration data, record linkage, election integrity, election administration, data quality
Issue or Number:6
Record Number:CaltechAUTHORS:20191003-092335219
Persistent URL:
Official Citation:Kim SS, Schneider S, Alvarez RM. Evaluating the Quality of Changes in Voter Registration Databases: Part of Special Symposium on Election Sciences. American Politics Research. 2020;48(6):670-676. doi:10.1177/1532673X19870512
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99043
Deposited By: Tony Diaz
Deposited On:03 Oct 2019 17:10
Last Modified:16 Nov 2021 17:43

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