Resources

The results in this article suggest that while convenience measures are designed to improve registration and voting rates, they may not result in across-the-board increases that some policymakers and advocates hope for. Nevertheless, there may be some differential impacts of these innovations on registration and turnout, particularly for youth and minority voters.

In this paper, authors examine the impact of same day registration (SDR) policies on younger voters. They find that SDR disproportionately increases turnout among individuals aged 18–24 and is especially pronounced in presidential elections. The effects of early voting and other reforms are smaller and do not consistently vary by age.

Authors use official statewide voter file and mail-in ballot data from the 2018 midterm election in Georgia to test whether certain voters are more likely to cast a mail ballot that does not count. In their analysis, authors distinguish between ballots rejected for lateness and those rejected for a mistake on the return envelope, finding that newly registered, young, and minority voters have higher rejection rates compared with their counterparts.

This report examines barriers that prevent voters with disabilities from voting privately and independently. The report recommends several actions to overcome these barriers, including improving the accessibility of voting information and access to accessible voting technology, and integrating the disability community into all aspects of voting, among other things.

This research focuses on how the timing of voter file snapshots affects the most commonly cited advantage of voter file data: accurate measures of who votes.

This research uses difference-in-differences estimates that suggest that same day voter registration disproportionately increases turnout among individuals aged 18–24 (an effect between 3.1 and 7.3 percentage points).

This report examines election-related hurdles that hinder or prevent people with disabilities from participating fully in U.S. elections, including during the 2020 election cycle. It offers recommendations that policymakers can adopt to improve election accessibility for voters with disabilities.

In this paper, authors use snapshots of voter registration files (VRF) over time and machine learning models to test the effectiveness of unsupervised anomaly detection methods in detecting VRF modifications. They find that statistical models comparing administrative districts within a short time span and non-negative matrix factorization are most effective for surfacing anomalous events for review.

In this paper, authors match a high-quality, random sample of the U.S. population to multiple lists revealing that at least 11% of the adult citizenry is not on a voter list. An additional 12% is mislisted (i.e., not living at their recorded address).

In this paper, authors examine the effects of automatic voter registration (AVR) on both registration and turnout. They find that ind it does raise registration rates substantially, that the effect of AVR gradually builds the longer it is in place, and that the different types of AVR have significantly different effects on both registration and turnout.

This research analyzes registrants in Wisconsin who were identified as potential movers and did not respond to a subsequent postcard. At least 4% of these registrants cast a ballot at their address of registration, with minority registrants twice as likely as white registrants to do so.

Research shows that printed ballots pose challenges for blind voters and low-vision voters, who cannot read them directly.
This is a report of a project examining the legibility of summary ballots printed by ballot marking devices. The goal of the investigation was to to identify aspects of design, layout, or typography that can make a summary-style ballot easier to read and to increase the likelihood that voters detect a mistake or change on their ballot.