Political Polarization and Labor Market Discrimination

Last registered on June 24, 2024


Trial Information

General Information

Political Polarization and Labor Market Discrimination
Initial registration date
June 13, 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
June 24, 2024, 1:46 PM EDT

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


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Primary Investigator

Middlebury College

Other Primary Investigator(s)

PI Affiliation
Middlebury College
PI Affiliation
Bowdoin College

Additional Trial Information

In development
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
We conduct an online experiment to test whether people discriminate based on workers' political affiliation. We will randomly vary worker characteristics and whether workers are receive a wage for being hired and measure how this affects employers' willingness to pay wages.
External Link(s)

Registration Citation

Abel, Martin, Andrea Robbett and Daniel Stone. 2024. "Political Polarization and Labor Market Discrimination." AEA RCT Registry. June 24. https://doi.org/10.1257/rct.13763-1.0
Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Employers' wage offer and productivity beliefs
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants act as employers and are presented with a total of 30 worker profiles. For varying tasks they are asked to state the maximum wage offer they would be willing to pay for each profile. Their compensation is linked to the actual productivity of workers.
We furthermore randomize whether worker are paid when being hired.
Experimental Design Details
Not available
Randomization Method
As part of Qualtrics.
Randomization Unit
Individual participant.
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
There are no clusters to be randomized.
Sample size: planned number of observations
Our target sample size is 1100 participants. Each participants will make 30 wage offer decisions.
Sample size (or number of clusters) by treatment arms
Participants are randomized in equal share to the worker bonus and control group.

In addition, we randomly assign participants to make wage offer decisions for two of the tasks (after everyone initially completes the main hiring task).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
Middlebury College
IRB Approval Date
IRB Approval Number
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information