Trading-off Equity and Efficiency: The role of Information

Last registered on October 03, 2018
View Trial History

Pre-Trial

Trial Information

General Information

Title
Trading-off Equity and Efficiency: The role of Information
RCT ID
AEARCTR-0003376
Initial registration date
October 03, 2018

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 03, 2018, 2:40 PM EDT

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

Locations

Country
United States of America
Region

Primary Investigator

Name
Stefan Meißner
Affiliation
Norwegian School of Economics
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2018-09-04
End date
2018-10-17
Keywords
Welfare
Additional Keywords
Inequality Acceptance, Information Mechanisms
JEL code(s)
D63, D64, D82
Secondary IDs
Abstract
The experiment poses the question: Are people willing to provide additional information in
situations where some will make better and some will make worse decisions based on the
information? It adds to our understanding of inequality acceptance.
External Link(s)

Registration Citation

Citation
Meißner, Stefan. 2018. "Trading-off Equity and Efficiency: The role of Information." AEA RCT Registry. October 03. https://doi.org/10.1257/rct.3376-1.0
Former Citation
Meißner, Stefan. 2018. "Trading-off Equity and Efficiency: The role of Information." AEA RCT Registry. October 03. https://www.socialscienceregistry.org/trials/3376/history/35176
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2018-09-04
Intervention End Date
2018-09-17

Primary Outcomes

Primary Outcomes (end points)
The primary outcome variable is a binary choice variable for a decision that will lead to inequality between two workers that were recruited on Amazon mTurk.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment is a online-survey where participants make decisions over outcomes that matter for others. For that purpose, a representative sample of the US adult population was recruited. They answered basic demographic questions and then made a decision with real-outcomes for mTurk-workers.
Experimental Design Details
Randomization Method
Randomization was done by the Qualtrics algorithm.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2400 Individuals on Qualtrics
Sample size: planned number of observations
2400 Individuals on Qualtrics
Sample size (or number of clusters) by treatment arms
1200 Control
1200 Treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

Analysis Plan Documents

Pre-Analysis Plan: Stefan Meissner NHH

MD5: 0afc59d7965b68ce527138182610538a

SHA1: 30f0effaef5f46320edceb1700bcc3e8524679a7

Uploaded At: October 03, 2018

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