Honesty & Observability

Last registered on April 26, 2024

Pre-Trial

Trial Information

General Information

Title
Honesty & Observability
RCT ID
AEARCTR-0013185
Initial registration date
April 25, 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
April 26, 2024, 12:42 PM EDT

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

Locations

Primary Investigator

Affiliation
Florida State University

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2024-05-01
End date
2025-05-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study reporting behavior when a fraction of subject decisions are observed by the experimenter. In a laboratory experiment, we utilize an adapted Fischbacher and Follmi-Heusi (2013) die-roll task to implement the intervention. We use this experiment to test equilibrium predictions of lying models that consider a social image cost.
External Link(s)

Registration Citation

Citation
Lopez, Jose. 2024. "Honesty & Observability." AEA RCT Registry. April 26. https://doi.org/10.1257/rct.13185-1.0
Experimental Details

Interventions

Intervention(s)
We vary the probability that the truth value of the subject's decision can be observed by the experimenter.
Our planned treatments:
0% probability of experimenter observation
20% probability of experimenter observation
50% probability of experimenter observation
100% probability of experimenter observation
Intervention (Hidden)
Intervention Start Date
2024-05-01
Intervention End Date
2025-05-01

Primary Outcomes

Primary Outcomes (end points)
Outcome variables of interest:
Aggregate reporting behavior
Individual reporting behavior of observed decisions
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We use an adapted version of the Fischbacher and Follmi-Heusi (2013) die-roll game.
In their standard game, 0% of subject decisions are observed by the experimenter.
Including this 0% treatment, we run 3 additional treatments. We observe 20%, 50%, and 100% of decisions, respectively.
We use a between-subjects design.
Experimental Design Details
We use the draw-from-a-bag version of the die-roll game.
The task will be explained through the actions of a single subject.
First, the subject enters the lab and sits at a computer terminal. There, he will read the instructions.
When it is his turn, the subject will be prompted to approach the table at the front of the lab. There, he will be randomly assigned a folder.
The subject will then randomly draw one envelope from the folder. The subject will privately open the envelope to reveal a value. This value is the subject's "true message". This is the number that the subject is asked to report for his payment.
Once the subject makes his draw, he will close the envelope and put it back into the folder. He will then go to the "writing station" to write down his report.
Once the subject has written down his report, he will enter a second room of the lab. There, he will submit his report to the second experimenter. The second experimenter pays the subject in cash for his reported value. Then the subject leaves the experiment.

The experimenter observation is implemented with the following design:
Each folder is uniquely numbered 0-99. Each subject is assigned a unique subject ID.
When the subjects are randomly assigned a folder, the experimenter writes down both the subject ID and the folder ID that he drew from.
We manipulate the elements of the folders so that some proportion of the folders allow for the true message to be observed by the experimenter (the proportion that is observable is determined by the treatment).
We construct "observable" folders and "unobservable" folders.
Unobservable folders are constructed as they would be in a traditional draw-from-a-bag version of the experiment. An unobservable folder contains 10 envelopes. Each of those ten envelopes contain a different value from the set {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}.
Observable folders are constructed so that all 10 envelopes contain the same value. For example, an "Observable Folder 1" will contain ten envelopes, where each of those envelopes contain the value 1. If a subject draws from that folder, the experimenter knows with certainty that the subject's true message was 1.
In the 0% treatment, 0% of the folders are observable; in the 20% treatment, 20% of the folders are observable; and so on.
In the instructions, subjects are told the exact distribution over folder distributions.
Randomization Method
Treatments are implemented by computer randomization. We will first run the 0%, 100%, and 50% treatments. If the 50% treatment is closer to the 100% treatment, we plan to run a 20% treatment. If the 50% treatment is closer to the 0% treatment, we plan to run an 80% treatment.
Randomization Unit
Experimental sessions
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
45 sessions
Sample size: planned number of observations
900 subjects
Sample size (or number of clusters) by treatment arms
900
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
FSU Institutional Review Board
IRB Approval Date
2024-02-26
IRB Approval Number
STUDY00004879
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