Poverty and Preferences for Redistribution

Last registered on October 26, 2023
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Pre-Trial

Trial Information

General Information

Title
Poverty and Preferences for Redistribution
RCT ID
AEARCTR-0011975
Initial registration date
August 24, 2023

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
September 04, 2023, 5:51 AM EDT

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

Last updated
October 26, 2023, 9:18 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Name
Subha Mani
Affiliation
Fordham University
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Other Primary Investigator(s)

PI Name
Utteeyo Dasgupta
PI Affiliation
Fordham University
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PI Name
Farah Said
PI Affiliation
LUMS
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PI Name
Rafia Zafar
PI Affiliation
CUNY
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Additional Trial Information

Status
On going
Start date
2023-08-22
End date
2024-12-31
Keywords
Behavior, Welfare
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We design and conduct large-scale survey experiments in the United States to understand how attitudes towards poverty influence preferences for redistribution. We experimentally vary information on household socioeconomic status to measure redistributive preferences. In addition, we collect detailed information that will allow us to test various mechanisms.

External Link(s)

Registration Citation

Citation
Dasgupta, Utteeyo et al. 2023. "Poverty and Preferences for Redistribution." AEA RCT Registry. October 26. https://doi.org/10.1257/rct.11975-1.1
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-08-22
Intervention End Date
2023-08-31

Primary Outcomes

Primary Outcomes (end points)
Our primary outcomes of interest include various measures of preferences for redistribution. See analysis plan for details.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our survey experiment includes eight treatments in a between-subject design. The experiment is implemented online using Amazon Mechanical Turk (Mturk) participants via CloudResearch. Participants receive detailed instructions and are compensated for their time.

Experimental Design Details
Not available
Randomization Method
Randomization is done by a computer.
Randomization Unit
Unit of randomization is individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not applicable.
Sample size: planned number of observations
~2000
Sample size (or number of clusters) by treatment arms
There are a total of 8 treatment arms and we will be collecting data on ~250 observations in each treatment arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University Integrated Institution Review Board at The City University of New York
IRB Approval Date
2023-03-10
IRB Approval Number
Project 2023-0138-GC (IRB)
Analysis Plan

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