The Impacts of Lottery Matching on Charitable Giving

Last registered on May 09, 2024
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Pre-Trial

Trial Information

General Information

Title
The Impacts of Lottery Matching on Charitable Giving
RCT ID
AEARCTR-0013266
Initial registration date
April 28, 2024

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
May 09, 2024, 1:50 PM EDT

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

Locations

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Primary Investigator

Name
Amelia Ahles
Affiliation
Texas A&M University
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Other Primary Investigator(s)

PI Name
Marco Palma
PI Affiliation
PI Name
Joanna Lahey
PI Affiliation

Additional Trial Information

Status
In development
Start date
2024-04-29
End date
2025-06-01
Keywords
Agriculture, Behavior
Additional Keywords
charitable giving
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The goal of our study is to investigate how matching schemes impact charitable giving. We will use an allocation decision task (sometimes referred to as a modified dictator game) to elicit individual allocations between themselves and a specified charity.
External Link(s)

Registration Citation

Citation
Ahles, Amelia, Joanna Lahey and Marco Palma. 2024. "The Impacts of Lottery Matching on Charitable Giving." AEA RCT Registry. May 09. https://doi.org/10.1257/rct.13266-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Individuals make allocations between themselves and a specified charity with a treatment-dependent lottery match to the charity. We will investigate 4 lottery matching schemes and 2 comparison treatments (no match and 1:1 match)
Intervention Start Date
2024-04-29
Intervention End Date
2024-06-01

Primary Outcomes

Primary Outcomes (end points)
Donation Amount (i.e., amount of allocation given to charity vs. self).
Primary Outcomes (explanation)
Estimate how the treatments impacted individual's allocations for self vs. charity based on the endowment allocation between the two.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will be comparing charitable giving match scheme with alternative lottery
Experimental Design Details
Not available
Randomization Method
Treatments randomized via oTree code when study is initialized.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1200 individuals
Sample size: planned number of observations
1200 (approximately)
Sample size (or number of clusters) by treatment arms
Approximately 1200 total with 100 per cell. We will stratify by gender and treatment for each cell. 6 treatments x 2 genders = 12 cells
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Power calculations show a minimum of 69 per cell. Based on this effect size, we will need a sample size between 69 and 114 subjects per cell. To investigate any potential gender differences that may influence our 6 treatments we will stratify by gender, effectively implementing a 2x6 design for 12 cells.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Texas A&M University Institutional Review Board
IRB Approval Date
2024-04-24
IRB Approval Number
STUDY2024-0479
Analysis Plan

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