Unemployment Insurance Messaging Information Intervention

Last registered on October 07, 2024

Pre-Trial

Trial Information

General Information

Title
Unemployment Insurance Messaging Information Intervention
RCT ID
AEARCTR-0014325
Initial registration date
September 27, 2024

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 07, 2024, 7:05 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Stanford University

Other Primary Investigator(s)

PI Affiliation
Princeton University

Additional Trial Information

Status
In development
Start date
2024-10-04
End date
2024-10-25
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Unemployment Insurance (UI) benefits are critical in helping workers smooth consumption when they lose a job through no fault of their own. However, only about half of eligible unemployed workers in the United States claim UI benefits. The online survey recruits a sample of unemployed workers who are likely eligible for UI but are not claiming benefits and assesses those workers’ knowledge of and beliefs about UI. The information provision experiment of the survey investigates two key mechanisms underlying incomplete UI take-up: stigmatized attitudes towards unemployment benefits and overconfidence in job finding probability.
External Link(s)

Registration Citation

Citation
McQuillan, Casey and Brendan Moore. 2024. "Unemployment Insurance Messaging Information Intervention." AEA RCT Registry. October 07. https://doi.org/10.1257/rct.14325-1.0
Experimental Details

Interventions

Intervention(s)
We conduct an online information provision experiment with a sample of unemployed, non-UI claiming but likely-eligible job seekers. We cross-randomize messages to respondents which (1) seek to de-stigmatize UI benefits and (2) temper job finding expectations by providing information about average job finding rates for the unemployed and highlighting the difficulty of job search. We assess whether exposure to these messages shifts beliefs about stigmatized attitudes towards UI and job finding expectations. Lastly, we assess whether exposure to these messages shifts a respondent’s likelihood of claiming UI.
Intervention (Hidden)
Intervention Start Date
2024-10-04
Intervention End Date
2024-10-25

Primary Outcomes

Primary Outcomes (end points)
Subjective 1-month and 3-month job finding probability
Five item Likert scale: “Unemployment insurance is similar to programs like car insurance, which require regular payments so you have a cushion in bad times.” from “Very Similar” to “Very Dissimilar”
Five item Likert scale: “Unemployment insurance is similar to welfare programs like food stamps, which transfer money from haves to have-nots.” from “Very Similar” to “Very Dissimilar”
Five item Likert scale: “After taking this survey, how likely would you be to apply for UI benefits?” from “Very unlikely” to “Very likely”
Time spent looking at an embedded screenshot of the U.S. Department of Labor informational flyer about unemployment insurance
Whether a respondent clicked on the link to the flyer itself
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We have conducted two types of treatments in this survey – the “guilt” message and the “search” message – which aim to de-stigmatize UI benefits and provide information about expected job finding rates for unemployed job seekers, respectively. The online survey respondents are cross-randomized into one of four groups for the information provision experiment. One quarter of respondents are randomly exposed to both a “guilt” message and a “search” message. One quarter are randomly exposed to only the guilt message, one quarter are randomly exposed to only the search message, and the remaining quarter are exposed to neither message. After exposure to the messages (if applicable), all respondents are then asked to report their subjective job finding probability. All respondents are also asked several questions regarding their attitudes towards UI benefits that relate to stigmatized beliefs. Lastly, respondents are assessed on their interest about applying for UI benefits along numerous dimensions.
Experimental Design Details
The “Guilt” Treatment
The “guilt” treatment reads as follows, where respondents must read the following statement and cannot advance to subsequent pages until 10 seconds:

Did you know...
UI benefit amounts are based on your work history – not on financial need. While you worked, your employer paid taxes into the unemployment insurance trust fund for this purpose.

The “Search” Treatment
The “search” treatment reads as follows, where respondents must read the following statement and cannot advance to subsequent pages until 10 seconds:

Did you know...
Searching for work can take a long time and your state unemployment office wants to help you apply for benefits. Statistically, job seekers who have been unemployed for two months typically remain jobless for another three months.

Measuring Interest in UI Benefits
We measure the interest in applying for UI benefits through 1) time spent looking at an informational flyer about UI from the US Department of Labor and 2) directly asking for self-reported likelihood of applying.
Randomization Method
Randomization is done by the Qualtrics software with a computer.
Randomization Unit
Randomization is conducted at the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
800 individuals
Sample size (or number of clusters) by treatment arms
200 in control, 200 duration, 200 guilt, 200 guilt + duration
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Stanford University Institutional Review Board
IRB Approval Date
2024-09-27
IRB Approval Number
IRB-76995

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