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NEW UPDATE: Completed trials may now upload and register supplementary documents (e.g. null results reports, populated pre-analysis plans, or post-trial results reports) in the Post Trial section under Reports, Papers, & Other Materials.
Barriers to Giving
Last registered on July 28, 2020
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Pre-Trial

Trial Information
General Information
Title
Barriers to Giving
RCT ID
AEARCTR-0006238
Initial registration date
July 27, 2020
Last updated
July 28, 2020 9:34 AM EDT
Location(s)

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Primary Investigator
Name
Ragan Petrie
Affiliation
Texas A&M University
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Other Primary Investigator(s)
PI Name
Marco Castillo
PI Affiliation
Texas A&M University
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Additional Trial Information
Status
On going
Start date
2015-07-01
End date
2023-08-01
Keywords
Other
Additional Keywords
charitable giving, nuisance costs
JEL code(s)
D64, H41, C93, D91
Secondary IDs
Abstract
We develop a nonparametric test for the presence of nuisance costs in charitable giving and conduct a large-scale field experiment on giving to show that nuisance costs are sizable and impactful.
External Link(s)
Registration Citation
Citation
Castillo, Marco and Ragan Petrie. 2020. "Barriers to Giving." AEA RCT Registry. July 28. https://doi.org/10.1257/rct.6238-1.0.
Sponsors & Partners
Experimental Details
Interventions
Intervention(s)
Individuals are offered a fixed match for a charity if they make a donation at or above a minimum donation threshold. We partner with charities and an online giving platform to implement the study.
Intervention Start Date
2015-08-01
Intervention End Date
2022-08-01
Primary Outcomes
Primary Outcomes (end points)
Donation rate, amount donated
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Individuals are offered a fixed match for a charity if they make a donation at or above a minimum donation threshold. There are three possible match offers, and one of the three is randomly assigned to an individual. We partner with charities and an online giving platform to implement the study.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
18,000 individuals
Sample size: planned number of observations
18,000 individuals
Sample size (or number of clusters) by treatment arms
6,000 individuals per 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
George Mason University IRB
IRB Approval Date
2013-12-17
IRB Approval Number
IRB 477710-6
Analysis Plan