Self-reported Ethnicity Changes over Time: A Population Level Study using Public Voter Databases

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Sumayya Ziyad
Joseph Lam
Peter Christen
Rainer Schnell
Charini Nanayakkara

Abstract

Objectives
Administrative databases such as voter registries contain a wealth of information about a large proportion of a population. This is especially true when longitudinal information about individuals is available, such as changes in their names, addresses, or self-reported ethnic attributes. Apparent changes in ethnic attributes might be due to perceptions of majority evaluations of ethnic groups. In this project, we analysed snapshots of a publicly available US voter database from 2015 to 2022, exploring if and how recent presidential elections impacted changes in voters' self-reported ethnic attributes.


Approach
Using bi-monthly snapshots of a publicly available US voter database from 2015 to 2022, we generated cohorts by linking active voters during seven twelve-month periods (2015/16 to 2021/22). These seven time periods included one mid-term and two presidential elections, and four control time spans before, between, and after these elections. We compared changes in self-reported ethnic attributes of voters during the times of elections versus the control time periods.


Results
Preliminary results reveal a substantial change to self-reported ethnic attributes during the periods leading to an election. A majority of such changes are by individuals from a specific ethnic group choosing not to report an ethnicity, an indication of their preference to not disclose ethnicity-related sensitive information.


Conclusions
We have shown how a publicly available voter database can be used to explore how self-reported ethnic attributes are modified by individual voters over time, and how the prevalence of such changes is influenced by political events such as presidential elections.

Article Details

How to Cite
Ziyad, S., Lam, J., Christen, P., Schnell, R. and Nanayakkara, C. (2024) “Self-reported Ethnicity Changes over Time: A Population Level Study using Public Voter Databases”, International Journal of Population Data Science, 9(5). doi: 10.23889/ijpds.v9i5.2591.

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