Noise and Bias

Last registered on November 05, 2021
View Trial History

Pre-Trial

Trial Information

General Information

Title
Noise and Bias
RCT ID
AEARCTR-0008476
Initial registration date
November 01, 2021

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
November 05, 2021, 4:28 PM EDT

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

Locations

Country
Switzerland
Region

Primary Investigator

Name
Michele Garagnani
Affiliation
University of Melbourne
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Carlos Alós-Ferrer
PI Affiliation
University of Zurich
Contact Investigator
PI Name
Johannes Buckenmaier
PI Affiliation
University of Zurich
Contact Investigator

Additional Trial Information

Status
In development
Start date
2021-11-04
End date
2022-01-31
Keywords
Behavior, Lab
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This pre-registration describes a laboratory experiment to be conducted at the University of Zurich to study the present bias phenomenon in inter-temporal decision making.
External Link(s)

Registration Citation

Citation
Alós-Ferrer, Carlos, Johannes Buckenmaier and Michele Garagnani. 2021. "Noise and Bias." AEA RCT Registry. November 05. https://doi.org/10.1257/rct.8476-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2021-11-04
Intervention End Date
2022-01-31

Primary Outcomes

Primary Outcomes (end points)
Choice frequency and response times in binary inter-temporal choices.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This pre-registration describes a laboratory experiment to be conducted at the University of Zurich to study the present bias phenomenon in inter-temporal decision making. We describe the experimental design, the variables of interest, the hypotheses, and sample size.
Experimental Design Details
See attached PDF.
Randomization Method
Randomization done by a computer.
Randomization Unit
All subjects will face the same experiment but stimuli will be presented in four different pseudo-random sequences (randomly assigned to subjects).
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
We will run sessions with 36 invited subjects each until we have 128 or more (nonexcluded) subjects.
Sample size: planned number of observations
We will run sessions with 36 invited subjects each until we have 128 or more (nonexcluded) subjects.
Sample size (or number of clusters) by treatment arms
We will run sessions with 36 invited subjects each until we have 128 or more (nonexcluded) subjects.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

Documents

Document Name
PreregistrationNoiseAndBias
Document Type
proposal
Document Description
Summary of the preregistration.
File
PreregistrationNoiseAndBias

MD5: 1f58c02df24937cf7a472c0d9309e0d6

SHA1: f52d2087d717f9a0a28fb76d27f91a22a9c3e2db

Uploaded At: November 01, 2021

IRB

Institutional Review Boards (IRBs)

IRB Name
OEC Human Subjects Committee University of Zurich
IRB Approval Date
2021-11-01
IRB Approval Number
OEC IRB#2021-083
Analysis Plan

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