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Last Published
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Before
September 12, 2024 04:59 PM
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After
April 28, 2025 11:32 PM
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Primary Outcomes (End Points)
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Before
Rejection rate and proportion of equitable splits
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After
Rejection rate and inequality share
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Primary Outcomes (Explanation)
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Before
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After
Inequality share is calculated as the difference between the seller's share minus the buyer's share over the total pie size.
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Randomization Method
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Before
Subjects will be randomly rematched by the computer in each individual round in each session.
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After
Subjects will be randomly rematched by the computer in each round in each session.
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Planned Number of Clusters
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Before
As we adopt random rematching between proposers and responders within each session, the cluster is at the session level. We plan to run 4 sessions for each of the four treatments, and a total of 16 sessions.
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After
As we adopt random rematching between sellers and buyers within each session, the cluster is at the session level. We plan to run 4 sessions for each treatment.
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Planned Number of Observations
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Before
We plan to recruit an average of 16 individuals for each session and around 256 subjects in total. 256 individuals, each making a choice for up to 20 rounds.
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After
We plan to recruit approximately 200 subjects, with some variation across treatment arms depending on recruitment availability.
The core hypotheses are well captured by the two main treatments described herein. We may explore additional treatment conditions in future extensions to investigate ancillary mechanisms or robustness, subject to feasibility constraints.
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Sample size (or number of clusters) by treatment arms
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Before
256 subjects, split equally among the four treatments. We aim to run 16 sessions of 16 subjects. Depending on turnout, each session might have slightly more or slightly fewer subjects.
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After
We aim to run 4 sessions for each treatment. We aim to have around 16 subjects for each session. Depending on turnout, each session might have slightly more or slightly fewer subjects.
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Pi as first author
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Before
No
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After
Yes
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