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Gender pay gap among folk musicians in India
Last registered on September 15, 2020

Pre-Trial

Trial Information
General Information
Title
Gender pay gap among folk musicians in India
RCT ID
AEARCTR-0005577
Initial registration date
March 19, 2020
Last updated
September 15, 2020 11:55 PM EDT
Location(s)

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Primary Investigator
Affiliation
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2020-04-01
End date
2021-09-30
Secondary IDs
Abstract
This project investigates how gender interacts with audience evaluations of art versus commercial choices among cultural producers.
External Link(s)
Registration Citation
Citation
Ranganathan, Aruna. 2020. "Gender pay gap among folk musicians in India." AEA RCT Registry. September 15. https://doi.org/10.1257/rct.5577-1.1.
Experimental Details
Interventions
Intervention(s)
Using a between subjects design, we will show different videos for the same underlying audio track, where we manipulate (1) gender of the singer and (2) whether the singer is singing in art or commercial venue, to survey participants and ask them how much they would be willing to pay for the performance.
Intervention Start Date
2020-04-01
Intervention End Date
2020-04-30
Primary Outcomes
Primary Outcomes (end points)
willingness-to-pay
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We will use a survey experiment. Using a between subjects design, we will show different videos for the same underlying audio track, where we manipulate (1) gender of the singer and (2) whether the singer is singing in art or commercial venue, to survey participants and ask them how much they would be willing to pay for the performance.
Experimental Design Details
Not available
Randomization Method
Computer randomization by Qualtrics
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
NA
Sample size: planned number of observations
1000 individuals
Sample size (or number of clusters) by treatment arms
250 individuals per treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Stanford University
IRB Approval Date
2019-02-06
IRB Approval Number
NA