Trust in a Diverse World: Exploring the Role of Gender, Disability, and Ethnicity

Last registered on May 06, 2025

Pre-Trial

Trial Information

General Information

Title
Trust in a Diverse World: Exploring the Role of Gender, Disability, and Ethnicity
RCT ID
AEARCTR-0015741
Initial registration date
May 02, 2025

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
May 06, 2025, 5:06 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
Bocconi University

Other Primary Investigator(s)

PI Affiliation
Bocconi University
PI Affiliation
Bocconi University

Additional Trial Information

Status
In development
Start date
2025-04-30
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The project investigates the impact of diversity on trust in social interactions by examining how individuals exhibit trust toward others based on gender, disability, and ethnicity. Through an online survey experiment utilizing a non-simultaneous trust game, we will measure trust levels among participants assigned to interact with diverse partners whose characteristics are exogenously varied. The study is unique in its focus on disability as a dimension of diversity, and in its combination of different dimensions of diversity, filling a gap in the literature. The experimental design involves a representative sample of the Italian population, with participants making trust-related decisions based on seeing (AI-generated) photos of individuals representing their partners. A complementary dictator game will further explore altruistic behaviors. The findings will contribute to a deeper understanding of the cumulative or substitution effects of multiple diversity dimensions on trust, which is a fundamental element of economic and social cooperation, influencing economic growth, health outcomes, crime rates, and overall well-being.
External Link(s)

Registration Citation

Citation
Balbo, Nicoletta, Alessandra Casarico and Chiara Serra. 2025. "Trust in a Diverse World: Exploring the Role of Gender, Disability, and Ethnicity." AEA RCT Registry. May 06. https://doi.org/10.1257/rct.15741-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We develop an online survey experiment utilizing a non-simultaneous trust game to measure trust levels among participants assigned to interact with diverse partners whose characteristics are exogenously varied. The experimental design involves a representative sample of around 5000 Italian individuals, with participants making trust-related decisions based on seeing (AI-generated) photos of individuals representing their partners, whose characteristics are exogenously varied based on gender, migrant status and disability status. A complementary dictator game will further explore altruistic behaviors.
Intervention (Hidden)
Intervention Start Date
2025-04-30
Intervention End Date
2025-05-31

Primary Outcomes

Primary Outcomes (end points)
Amount of money shared in the trust game and amount of money given in the dictator game, based on the characteristics of the partner
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We conduct an online survey experiment through CAWI (Computer-Assisted Web Interviewing). In this experiment, we will elicit trust toward other individuals with different characteristics through a non-simultaneous trust game (Berg et al., 1995). This means that participants will play the trust game against partners who have already made their decisions.
Partners
Our approach involves a sequential process rather than simultaneous play. We have initially recruited 12 individuals (partners), stratified by gender, migrant status, and disability status. We have gathered their informed consent to participate in the trust game, collected few simple demographic information and explained the trust game rules and setting. We have then asked them to determine their preferred allocation if a hypothetical participant were to send 0, 1, 2, 3, 4, ... 10 euros. Differently from the participants, the partners did not see any pictures but were informed that their opponent is an individual residing in Italy.
Participants
In the subsequent phase, a survey company specializing in data collection, recruits and administers a longer questionnaire and the trust game through CAWI to a representative sample of the Italian population, after having obtained their informed consent.
Each participant is explained the trust game setting. In the initial screen of the trust game, participants will see an AI-generated photo and will be informed that their partner in the trust game shares the same appearance as the individual shown in the picture and lives in Italy.
A randomly selected group of participants will not see any photo and will simply be informed that their trading partner is an individual living in Italy (pure controls).
The participants' decisions in this part of the experiment will serve as our primary outcome variable, while the characteristics of partners presented to participants will be our main dependent variable.
Before and after the trust game, participants complete a short questionnaire, including standard socio-demographic information, a question about their self-reported general level of trust, a question to assess their risk attitudes, and a self-assessed measure of political orientation, and a short set of questions inquiring their gender norms, beliefs about disability, and views on ethnic minorities. This information will be crucial as control variables or margins of heterogeneity in our analysis.
The Trust Game
Both sets of individuals (participants and partners) will be explained the rules of the trust game and informed that their final compensation will be determined at the end of the game based on their strategic decisions. Participants will play as player 1 and partners will play as player 2.
Dictator game
Participants will also be asked to make decisions in a standard dictator game setting.
Determining Payoffs
For the participants, compensation will be determined through a random draw, with an average expected compensation of 10 euros for the trust game. We will first randomly draw 15% of the participants and then randomly draw one of the two games (trust or dictator) to use to determine the compensation. If the trust game is selected, the responses from the partners with the same characteristics as the AI generated photo that appeared on the screen will be used to compute the payoffs for the participants, ensuring transparent and honest interaction without deception. While if the dictator game is selected, the payoffs will be solely computed based on the decision made by participants.

For the partners - We reward them based on their choices and on the choice of one randomly picked participant who played against them. Partners will receive their compensation as vouchers within three weeks from the end of data collection.
Experimental Design Details
Randomization Method
Randomization implemented in Qualtrics by researchers to guarantee equal size of individuals in each treatment arm
Randomization Unit
Individuals
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Quota representative sample of the italian population (education, gender, age, macro-region of residence)
Sample size: planned number of observations
5000 participants
Sample size (or number of clusters) by treatment arms
The total sample includes approximately 5,000 participants, randomly assigned across 6 treatment arms and a pure control (no photo). We plan for roughly equal distribution across arms, with approximately 700 participants per group. Minor deviations may occur due to randomization or technical dropouts.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Bocconi University
IRB Approval Date
2024-09-27
IRB Approval Number
RA000817

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