Equal Opportunity

Last registered on October 31, 2022

Pre-Trial

Trial Information

General Information

Title
Equal Opportunity
RCT ID
AEARCTR-0009686
Initial registration date
October 25, 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 31, 2022, 4:45 PM EDT

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

Locations

Primary Investigator

Affiliation
Texas A&M University

Other Primary Investigator(s)

PI Affiliation
Texas A&M University
PI Affiliation
Texas A&M University

Additional Trial Information

Status
In development
Start date
2022-10-25
End date
2023-10-24
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Equal opportunity has wide applicability throughout society. It touches upon access to education, employment, legal representation, etc. Given that equal opportunity has different meanings to different people (i.e., equal opportunity in outcomes, resources, access, etc.), we use a simplified definition based on the different types of equal opportunity mentioned in Arneson (2018). We define equal opportunity to mean that individuals should have similar access to “resources” except when one’s innate ability leads to a difference in resource allocation.

This project explores how economic inequality created by an institution affects productivity, and how productivity resulting from the institutional structure affects views on fairness and redistribution. We do this by setting up a controlled laboratory experiment in a two-person competitive environment consisting of a real-effort task where we vary the amount of time subjects have to perform the task. We use time as a resource in our competitive environment and we vary the amount of resources to compete under institutions that provide an advantage to subjects based on different inequality sources. More specifically we set up two inequality institutions that provide an advantage to the higher performer or the lower performer individual in the group during a baseline phase. The control condition has the same amount of time for both participants.

The pre-analysis plan includes details on the structure of the experiment and our empirical strategy.
External Link(s)

Registration Citation

Citation
Eckel, Catherine, Marco Palma and Samuel Priestley. 2022. "Equal Opportunity." AEA RCT Registry. October 31. https://doi.org/10.1257/rct.9686-1.0
Experimental Details

Interventions

Intervention(s)
This experiment consists of three conditions, each varying the degree of economic inequality by changing the amount of time subjects have to compete in a real effort task.
Intervention Start Date
2022-10-25
Intervention End Date
2022-11-18

Primary Outcomes

Primary Outcomes (end points)
Production. Production is based on the subjects' performance in the real-effort task.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Redistribution and fairness
Secondary Outcomes (explanation)
Redistribution and fairness are measured by the amount of income a subject gives to another subject and the belief elicitation question.

Experimental Design

Experimental Design
Throughout the experiment, subjects participate in a real-effort production assignment in three different phases. Aspects of the production assignment will be altered during each phase. The production assignment involves subjects having to correctly solve two two-digit addition problems within a limited amount of time. Subjects’ earnings are based on the correct number of problems they solve. Each phase consists of one or more blocks. A block consists of five rounds each. Subjects will be paired with another subject in each session. After the production assignment, subjects will complete a survey. In the next subsections, we explain details of each phase of the production assignment, instructions given to each subject, and survey details.
Experimental Design Details
4 Design

Throughout the experiment, subjects participate in a real-effort production assignment in three different phases. Aspects of the production assignment will be altered during each phase. The production assignment involves subjects having to correctly solve two two-digit addition problems within a limited amount of time. Subjects’ earnings are based on the correct number of problems they solve. Each phase consists of one or more blocks. A block consists of five rounds each. Subjects will be paired with another subject in each session. After the production assignment, subjects will complete a survey. In the next subsections, we explain details of each phase of the production assignment, instructions given to each subject, and survey details.

4.1 Ability Phase

The ability phase consists of one block (five rounds) and is used to measure subjects’ ability. Subjects have 40 seconds per round to independently solve as many addition problems as possible. At the end of the phase, each subject is randomly paired with another subject from the same session and for the remainder of the experiment.
Ability is measured as the total number of math problems correctly solved by each subject. A subject is considered high (low) ability if they solved more (fewer) problems correctly than the counterpart they are paired with. Subjects are informed of why they were assigned a specific type. For example, a high-ability subject will receive the following prompt, “You are assigned Player A because you solved more problems correctly in Block 1 compared to the other player you are paired with.” In the case subjects solve the same number of problems correctly, we compare who has a higher percentage of correct problems to break the tie, which is the total number of correct problems divided by the total number of problems a subject tried to answer. This is used as an additional measure to reduce the probability of randomly assigning subjects to an ability type due to a tie. If a tie occurs after applying the secondary rubric, then subjects are randomly assigned an ability type and are told their assignment was random.
We do not consider treatment conditions exploring if knowledge about ability creates a priming effect in our experiment due to lack of replication of social priming experiments across multiple disciplines, including economics (Chivers 2019; Yong 2012). We include priming conditions in our exploratory analysis section as possible extensions in case initial results indicate that priming might need to be investigated.
After the ability phase, subjects complete a survey question gauging their level of confidence. “How well do you think you performed (on average) in the tasks compared to all other participants in this lab room? Please choose a value on a scale of 0 to 10, where 0 means performed the ‘worst’ and 10 means performed the ‘best’.” This question is asked prior to their type being revealed. Subjects are asked this question again at the end of the experiment to see if their level of confidence has changed.

4.2 Competition Phase

During the second phase of the experiment, each pair engages in a competition to determine who can solve more problems correctly during each round. This phase consists of three blocks (15 rounds). The winner of a round keeps their entire earnings and takes half of the losing subject’s earnings for that round as a winning bonus. This earning structure is meant to mimic real-life conditions where individuals who win competitions tend to accumulate a larger piece of the pie.

4.3 Redistribution Phase

Phase 3 consists of the same competition as phase 2, but it is followed by a redistribution dictator game after each block. The redistribution phase consists of three blocks (15 rounds). At the end of a block, the subject with the highest-earnings will have an opportunity to transfer any amount from their earnings to the losing subject. We call the subject making the transfer decision the redistributor and the subject receiving the transfer the receiver. The purpose of the dictator game is to capture the winner’s fairness views based on the inequality institution. The rationale for the fairness views is explained in a later section. While the winning subject is making this choice, the losing subject will complete two belief elicitation tasks. One task will gauge how much earnings they believe the winning subject will transfer. The other task will gauge the normative beliefs of how much the losing subject believes should be transferred. The first task is meant to capture the losing subject’s expectations of what they will receive, which is why it is incentivized since we want to see how well subjects can predict the amount they will receive. The second task is meant to capture their fairness view.

Belief elicitation for measuring expected transfers
Please state how much you EXPECT TO RECEIVE from the other player. You will earn 10 ECU if you correctly guess within 1 ECU above or below the amount the other player transferred. [Subject enters an amount ranging from zero to max amount of the other player’s available endowment]

Belief elicitation for measuring fairness view
Please state how much you BELIEVE YOU SHOULD RECEIVE from the other player. [Subject enters an amount ranging from zero to max amount of the other player’s available endowment]

4.4 Survey

After the main experiment, subjects will complete non-incentivized survey questions. The survey is used to collect self-reported demographic information, and views on political leaning, equality, competitiveness, confidence, effort, ability, and redistribution. We also ask subjects what they think the objective of the experiment is and how they felt about how time was allocated in the experiment.
Randomization Method
Randomization by computer.
Randomization Unit
Experimental conditions are randomized at the session level. The amount given to disadvantaged subjects is randomized at the group level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
180 subjects, so 60 groups.
Sample size: planned number of observations
6300
Sample size (or number of clusters) by treatment arms
60
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We plan to recruit 180 subjects, 60 subjects per condition. We used G*Power to make our power calculations and based our effect sizes on Eckel, Fatas, and Kass (2022) since their experiment is most similar in design to our experiment. Cohen’s D was used to estimate an effect size of approximately 0.186. Estimates for average productivity and variance come from Table A1 of Eckel et al. (2022). The baseline column is used to estimate summary statistics for our control and the economic column was used to estimate summary statistics for our treatment. Only summary statistics from phase 1 and phase 2 are used since they are most like the phases in our experiment. Phase 1 is like our ability phase and phase 2 is like our tournament phase. Mean productivity under the control is 11.2 problems solved per round and under the treatment it is 11.795. Average variance under control is 9.92 and under treatment it is 10.56. Sample size per group is 48. Alpha was set to 0.05 and power to 0.8. Through G*Power we got a group number of 375 observations, so a total number of 1,125 observations. We divide the 1,125 observations by 35 since that is the number of rounds in the experiment to get a sample size of 33 subjects for the entire experiment.
Supporting Documents and Materials

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

Request Information
IRB

Institutional Review Boards (IRBs)

IRB Name
Texas A&M University IRB
IRB Approval Date
2022-06-23
IRB Approval Number
IRB2022-0490D
Analysis Plan

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

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

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

Request Information

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