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Associative Memory and Overreaction in Expectations
Last registered on August 17, 2019

Pre-Trial

Trial Information
General Information
Title
Associative Memory and Overreaction in Expectations
RCT ID
AEARCTR-0004247
Initial registration date
May 28, 2019
Last updated
August 17, 2019 3:38 PM EDT
Location(s)

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Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
PI Affiliation
Additional Trial Information
Status
In development
Start date
2019-05-31
End date
2020-12-31
Secondary IDs
Abstract
Laboratory experiments to study the effect of (associative) memory on expectation formation.
External Link(s)
Registration Citation
Citation
Enke, Benjamin, Frederik Schwerter and Florian Zimmermann. 2019. "Associative Memory and Overreaction in Expectations." AEA RCT Registry. August 17. https://doi.org/10.1257/rct.4247-3.0.
Former Citation
Enke, Benjamin et al. 2019. "Associative Memory and Overreaction in Expectations." AEA RCT Registry. August 17. https://www.socialscienceregistry.org/trials/4247/history/51868.
Experimental Details
Interventions
Intervention(s)
Laboratory experiments to study effect of associative memory on expectation formation
Intervention Start Date
2019-05-31
Intervention End Date
2020-12-31
Primary Outcomes
Primary Outcomes (end points)
The study contains two outcome variables, explained in the attachment:

• Subjects’ second belief, i.e., their guess about the value of a company in Part 2.
• Subjects’ recall, i.e., the number of positive and negative signals that they recall having seen. We combine these recall data into one measure by computing the difference between the number of positive signals and the number of negative signals that a subject reports to recall. To make this measure directly comparable with the beliefs data, we normalize it so that
Recall measure = (# positive signals recalled - # negative signals recalled) * 10
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Different treatment variations to manipulate subjects' memory constraints when they forecast the value of hypothetical companies.
Experimental Design Details
Not available
Randomization Method
Random draw of numbered card
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
n/a
Sample size: planned number of observations
340
Sample size (or number of clusters) by treatment arms
Treatments are randomized within session according to the following logic:
• Block A: Treatments Main, Reminder, No cue
• Block B: Treatments Time lag, Reminder time lag

The sample size will be given by:
• Treatments Main, No cue, Time lag: 80 subjects each
• Treatments Reminder, Reminder time lag: 50 subjects each
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Harvard IRB
IRB Approval Date
2019-01-09
IRB Approval Number
IRB16-1753
Analysis Plan

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