Working for a Cause, for a Party, or for the Government: An experimental investigation of the labor supply responses to charitable giving, political donations, and taxation

Last registered on October 28, 2023

Pre-Trial

Trial Information

General Information

Title
Working for a Cause, for a Party, or for the Government: An experimental investigation of the labor supply responses to charitable giving, political donations, and taxation
RCT ID
AEARCTR-0011571
Initial registration date
July 29, 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
August 09, 2023, 2:44 PM EDT

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

Last updated
October 28, 2023, 11:20 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
George Mason University

Other Primary Investigator(s)

PI Affiliation
George Mason University

Additional Trial Information

Status
In development
Start date
2023-08-01
End date
2023-11-04
Secondary IDs
IHS017324
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
While some individuals may exhibit a strong labor supply response to taxation, this response may not be the same as if these same individuals, rather than being taxed, were working both for themselves and for a charity or political party they support or oppose. We design an experiment that allows us to compare the labor supply response to taxation to the labor supply responses to donating to charities and political parties. In addition, our design allows us to estimate the effect that allowing people to work for organizations they support (or oppose) has on their labor supply. This may have significant implications for policymakers that want to increase tax revenue without causing the negative labor supply response typically associated with taxation.
External Link(s)

Registration Citation

Citation
Hickman, William and Johanna Mollerstrom. 2023. "Working for a Cause, for a Party, or for the Government: An experimental investigation of the labor supply responses to charitable giving, political donations, and taxation." AEA RCT Registry. October 28. https://doi.org/10.1257/rct.11571-2.0
Sponsors & Partners

Sponsors

Experimental Details

Interventions

Intervention(s)
Study 1 (originally pre-registration): This experimental investigation aims to compare the labor supply responses to taxation to the labor supply responses to other forms of redistribution. In the context of a real-effort task, participants' payments will be subjected to a 25% withholding, the beneficiary of which varies across five treatment groups. There will be 2 control groups, one where the piece-rate is the same as the pre-withholding piece-rate in the treatments and one where the piece-rate is the same as the post-withholding piece-rate in the treatments.

Study 2 (update to pre-registration on 28 October 2023):
In study 1, we found negative labor supply responses among all treatment groups, compared to the control group with the same net wage. In study 2, we will further explore the labor supply responses to working for others by exploring the impact of perceived autonomy on labor supply. Study 2 is very similar to study 1, however, we remove the control (high) group, the ACLU group, and the Heritage Foundation group from study 1. We then add 2 new treatments. We call these treatments "restricted choice" and "unrestricted choice." In "restricted choice," participants are informed about the task and are asked which political party they would like to earn points for (in addition to earning points for themselves.) In "unrestricted choice," participants are given these same choices, but are also given the option to only earn points for themselves, without earning points for a political party. The only other change in the procedures is the addition of a comment section at the end of the survey and the removal of information that relates to the treatments we removed.
Intervention Start Date
2023-08-01
Intervention End Date
2023-11-04

Primary Outcomes

Primary Outcomes (end points)
Chosen working time, total number of tasks completed, task efficiency (tasks completed per minute of working time)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Study 1: Participants will join the experiment, give consent, and answer 2 questions about their political opinions. Then, all participants will be randomized into one of 7 groups, given information about which organization any withheld earnings will go to, and told about the real-effort task. Participants will choose how long they want to work (0-180 seconds, in intervals of 30 seconds) and will complete as many real-effort tasks as they want to/can within this time limit. Following the completion of the tasks, all participants will be given information about all of the organizations and asked to give their opinion of the extent to which these organizations can be trusted to generally do what is right with the money they receive. Finally, participants will complete a short demographic survey.

Study 2: Participants will join the experiment, give consent, and answer 2 questions about their political opinions. Then, all participants will be randomized into one of 5 groups, given information about which organization any withheld earnings will go to, and told about the real-effort task. Participants will choose how long they want to work (0-180 seconds, in intervals of 30 seconds) and will complete as many real-effort tasks as they want to/can within this time limit. Following the completion of the tasks, all participants will be given information about all of the organizations and asked to give their opinion of the extent to which these organizations can be trusted to generally do what is right with the money they receive. Finally, participants will complete a short demographic survey and will be asked if they have any comments about the experiment.

Study 1: Treatment groups will have 25% of earnings directed to one of the following:

The U.S. Federal Government
The Republican Party
The Democratic Party
The American Civil Liberties Union
The Heritage Foundation

Control groups:

LOW: No tax/donation, piece-rate same as post-tax/donation piece-rate in treatment groups
HIGH: No tax/donation, piece-rate same as pre-tax/donation piece-rate in treatment groups

Study 2: Treatment groups will have 25% of earnings directed to one of the following:
The Republican Party
The Democratic Party
Choice between Republican or Democratic party
Choice between working only for self or working for either the Republican or Democratic party

Control group:
LOW: No tax/donation, piece-rate same as post-tax/donation piece-rate in treatment groups

Experimental Design Details
Randomization Method
Online experiment, randomization conducted through built-in software on Qualtrics. Due to the political nature of the questions we ask in this experiment, we will set up a recruiting strategy to ensure that our sample is balanced by political orientation.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Study 1: Pending power analysis, as described below. There will be no clustering, so the number of observations will be the number of clusters.

Study 2: There will be no clustering, so the number of observations will be the number of clusters.
Sample size: planned number of observations
Study 1: Pending power analysis, as described below. Likely around 700 observations (100 per treatment/control group). Study 2: 500 observations (100 per treatment/control group)
Sample size (or number of clusters) by treatment arms
Study 1: Pending power analysis, as described below. Our initial estimate is that there will be around 100 participants in each treatment/control group. There are 5 treatment groups and 2 control groups, so the total number of participants will be around 700, pending power calculations, as explained in detail below.

Study 2: 100 observations per treatment/control group (500 total observations)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Study 1: To calculate our final sample size, we will do the following. 1. Recruit 100 participants through Prolific. These participants will all be assigned to the control (low) group as described above. These participants will complete the experiment. Their data will be used to conduct power analysis and, eventually, in our tests for treatment effects. 2. Calculate the mean and standard deviation of each of the outcome variables (chosen working time and total tasks completed). 3. Use these means and standard deviations to calculate the minimum detectable effect (MDE) for each outcome variable based on a sample with 100 participants in each of the 7 treatment groups. We will use alpha=0.05 and a power level of 0.8 to conduct this analysis. If the MDE is less than 0.2 standard deviations for each of the outcome variables (based on the definition of a “small” effect as detailed in Cohen (1988)), we will use this sample size and conduct the full experiment with 100 participants in each of the treatment/control groups. 4. If the MDE is greater than 0.2 standard deviations for at least one of the outcome variables using the 100 participants per treatment/control group sample size, we will calculate the sample size per group necessary to achieve a MDE of 0.2 standard deviations for each of the outcome variables. The larger of the two sample sizes (we will have one sample size for each outcome variable) will be our sample size per treatment/control group in the full experiment. 5. If the sample size in (4) is too large to be financially feasible, we will instead calculate the maximum possible sample size given our financial resources (this sample size will be less than the sample size found in (4)), ensure that the MDE with this sample size is reasonably small, and then conduct the full experiment using this smaller but financially feasible sample size. UPDATE: At 100 participants per group, we get a minimum detectable effect of 0.4 standard deviations. To get a minimum detectable effect of 0.2 standard deviations, we would need 394 participants per group. The cost of getting this many participants is more than the resources we have available. At 200 participants per group, we get a MDE of 0.28 standard deviations. However, we currently have finances to cover 100 participants per group and have run study 1 with this many participants.
IRB

Institutional Review Boards (IRBs)

IRB Name
George Mason University, Fairfax, VA
IRB Approval Date
2023-06-16
IRB Approval Number
2047311-1
IRB Name
George Mason University, Fairfax, VA
IRB Approval Date
2023-10-26
IRB Approval Number
2047311-2
Analysis Plan

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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