What Encourages Returning Citizens to Vote? Measuring the Impact of Different Forms of Voter Outreach in Iowa

Last registered on October 17, 2022

Pre-Trial

Trial Information

General Information

Title
What Encourages Returning Citizens to Vote? Measuring the Impact of Different Forms of Voter Outreach in Iowa
RCT ID
AEARCTR-0010141
Initial registration date
October 07, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 17, 2022, 3:57 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
Georgetown University Law Center

Other Primary Investigator(s)

PI Affiliation
Free Our Vote
PI Affiliation
Georgetown University

Additional Trial Information

Status
In development
Start date
2022-10-10
End date
2022-11-08
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Currently, twenty-six states bar individuals from voting, simply on the basis of convictions in their past. On August 5, 2020, Governor Kim Reynolds of Iowa issued Executive Order 7 which fully restored voting rights to Iowans with past convictions once the terms of incarceration, probation, parole, or special sentence were completed. Despite this recent change in law, uncertainty for many potential beneficiaries about eligibility, paired with the fact that voting illegally in Iowa can carry a punishment of up to 5 years of imprisonment, may cause many individuals with prior felonies to not embrace their newly obtained opportunity to vote. Accordingly, voter turnout among this population can likely be bolstered by targeted information campaigns. This paper aims to measure the impact of such an outreach effort. Specifically, we seek to measure how outreach using traditional mailers---a commonly used but expensive method for voter outreach---compares with outreach using social media and mixed social media/opt-in SMS campaigns.
External Link(s)

Registration Citation

Citation
Billy, Alexander, JJ Naddeo and Neel Sukhatme. 2022. "What Encourages Returning Citizens to Vote? Measuring the Impact of Different Forms of Voter Outreach in Iowa." AEA RCT Registry. October 17. https://doi.org/10.1257/rct.10141-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
On August 5, 2020, Governor Kim Reynolds issued Executive Order 7. This measure fully restored voting rights to Iowans with past convictions once the terms of incarceration, probation, parole, or special sentence were completed. The order was retroactive, applying to those who had already been released from the Iowa Department of Corrections. The order did exclude, however, individuals convicted of felony homicide offenses.

Despite this recent change in law, the political and legal landscape have fomented an air of uncertainty for many potential beneficiaries. Accordingly, voter turnout among this population can likely be bolstered by targeted information campaigns.

This paper aims to measure the impact of such an outreach effort. Specifically, we seek to measure how outreach using traditional mailers – a commonly used but expensive method for voter outreach – compares with outreach using social media and mixed social media/opt-in SMS campaigns. These treatments were chosen based on the feedback and past experience of our partner, the Campaign Legal Center, which has significant experience in assisting returning citizens regain voting rights.
Intervention (Hidden)
See attached pre-analysis plan.
Intervention Start Date
2022-10-10
Intervention End Date
2022-11-08

Primary Outcomes

Primary Outcomes (end points)
The attached pre-analysis plan provides more details. Brief overview:
--Differences in voter registration rates across different treatments in 2022 general election, as compared to one another as well as a pure control
--Differences in turnout rates across treatment groups in 2022 general election, as compared to one another as well as a pure control
--We will also analyze (most likely to be included in a subsequent work product) the long-run impacts of our intervention on future elections, particularly the 2024 primary and general elections.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We have obtained a full list of individuals who benefited from the change in law in Iowa in 2020. We have split these participants into two experimental arms, via a stratified randomization strategy, as described in our pre-analysis plan. We are scheduled to send out notifications to these individuals by early to mid-October 2022. Finally, we will collect data on voter turnout and voter registration as soon as it is available, likely before January 2023. Analyses will be conducted sometime between that time and March 2023.

In addition, we will collect data on voter turnout and voter registration for future elections in Iowa, in particular the 2024 primary and general elections. Depending on timing, analysis of such results might be included in the same paper as that which analyzes the 2022 election, or it might be included in a future paper; alternatively, it might be simply posted in a forum online.

This project will be conducted in accordance with the best practices to date associated with randomized-control trials. It will contribute to a growing corpus of research that aims at uncovering the impact of voter restoration programs and advocacy efforts in the same space.
Experimental Design Details
Randomization Method
To ensure that treatment arms are properly balanced across observable characteristics, we implemented a blocked or stratified randomization procedure. Operationally, we use the Python package stochatreat that allows for stratified randomization of any number of treatment arms.
Randomization Unit
Individual, stratified randomization procedure. We block randomize on the following:
1. Race/ethnicity inferred + true values (indicator variables)
2. Whether race/ethnicity was inferred by us (indicator variable)
3. Age Group (indicator variables)
4. Gender (binary variable)
5. Rights Ever Reinstated (binary variable)
6. Identified by Campaign Legal Center as a potential beneficiary (binary variable)
7. Pre-treatment voter registration status (binary variable)
8. Registered before Reynolds’s Executive Order (binary variable)
9. Address on File (binary variable)
10. Scott County Resident (binary variable)
11. Counterfactual, Non-Returning Citizen Available (binary variable)
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
We have a list of 132,118 eligible participants.
Sample size (or number of clusters) by treatment arms
Arm 1 --Main (people with past felony convictions with known addresses): 15,983 (control), 15,990 (mailer), 16,004 (Meta, i.e., Facebook and Instagram, and Text Opt-in), 16,017 (Meta)
Arm 1 --Placebo (people without past felony convictions): 15,967 (control), 15,974 (mailer), 15,988 (Meta, i.e., Facebook and Instagram, and Text Opt-in), 16,001 (Meta)
Arm 2 (people with past felony convictions without known addresses): 22,705 (control), 22,701 (Meta and Text Opt-in), 22,718 (Meta)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See attached pre-analysis plan.
IRB

Institutional Review Boards (IRBs)

IRB Name
Georgetown University Institutional Review Board
IRB Approval Date
2022-08-22
IRB Approval Number
STUDY00004978
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials