Racial-gender stereotypes and discrimination in a stratified sample of the US population

Last registered on February 28, 2024
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Pre-Trial

Trial Information

General Information

Title
Racial-gender stereotypes and discrimination in a stratified sample of the US population
RCT ID
AEARCTR-0011808
Initial registration date
July 26, 2023

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
July 28, 2023, 2:06 PM EDT

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

Last updated
February 28, 2024, 2:48 AM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Country
United States of America
Region

Primary Investigator

Name
Monika Pompeo
Affiliation
New York University Abu Dhabi
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Other Primary Investigator(s)

PI Name
Alexandros Agiostratitis
PI Affiliation
New York University Abu Dhabi
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PI Name
Nikos Nikiforakis
PI Affiliation
New York University Abu Dhabi
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Additional Trial Information

Status
In development
Start date
2024-03-04
End date
2024-04-04
Keywords
Behavior, Gender, Labor
Additional Keywords
Online experiment, discrimination, hiring task
JEL code(s)
J15, J23
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Stereotypical beliefs about individual skills and traits can have substantial implications for hiring decisions, which subsequently translate into economic externalities. While existing literature provides evidence of racial and gender differences in traits like competitiveness and overconfidence, limited research has been conducted to understand how these traits are perceived across different racial and gender groups. This study aims to bridge this gap by investigating beliefs about racial and gender differences in these traits and their relationship with beliefs about earnings and performance, as well as examining their relation to decision-making within a hiring context. The research also investigates the role of a candidate's competitiveness and the ambiguity of their competition choices, with a focus on variations across race and gender. Data for this research will be collected from a stratified sample of 3,600 U.S. residents, aged between 25 and 65, spanning six racial-ethnic-gender (REG) groups. By studying these perceptions and their impact on hiring decisions, we aim to provide a comprehensive understanding of the role of stereotypical beliefs in the labor market and to offer valuable insights for addressing discriminatory practices.
External Link(s)

Registration Citation

Citation
Agiostratitis, Alexandros, Nikos Nikiforakis and Monika Pompeo. 2024. "Racial-gender stereotypes and discrimination in a stratified sample of the US population." AEA RCT Registry. February 28. https://doi.org/10.1257/rct.11808-2.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-03-04
Intervention End Date
2024-04-04

Primary Outcomes

Primary Outcomes (end points)
Prediction for each trait and REG group, prediction's accuracy for each trait and REG group, wage offer for each candidate profile
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our study comprises two parts. In the first part, participants predict the behavior of subjects from an earlier study (Dariel et al., in progress) by guessing their earnings, competitiveness, and overconfidence, as well as their performance in a numerical task. Accurate predictions are incentivized with monetary rewards.

In the second part, participants engage in a hiring task. They are shown six profiles of candidates who will engage in a future task and are told that they need to make a wage offer for each. The profiles differ depending on the treatment. In the treatment conditions, apart from country, gender, race, and age, information about whether or not the candidate has chosen to compete is also included.
Experimental Design Details
Randomization Method
Randomisation done by Qualtrics
Randomization Unit
Individual
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
3600 individuals
Sample size: planned number of observations
3600 individuals
Sample size (or number of clusters) by treatment arms
1200 control, 1200 treatment 1, 1200 treatment 2
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
New York University Abu Dhabi
IRB Approval Date
2023-03-27
IRB Approval Number
N/A
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