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Probabilistic Cash Rebates and Consumption Choices under Carbon Pricing

Last registered on April 16, 2026

Pre-Trial

Trial Information

General Information

Title
Probabilistic Cash Rebates and Consumption Choices under Carbon Pricing
RCT ID
AEARCTR-0017601
Initial registration date
March 11, 2026

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
March 12, 2026, 4:47 AM EDT

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

Last updated
April 16, 2026, 12:05 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Agricultural University of Athens

Other Primary Investigator(s)

PI Affiliation
Texas A&M University

Additional Trial Information

Status
In development
Start date
2026-04-01
End date
2026-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study uses an online experiment to examine how consumers respond to different types of cash rebates linked to environmentally relevant consumption choices. Participants make repeated decisions about how many units of a product to purchase under a fixed price that reflects a carbon charge, with lower consumption associated with greater environmental benefits. We compare behavior under several treatments inlcuding a no rebate control, a guaranteed cash rebate, and several probabilistic rebate schemes that differ in the likelihood of rebate payment. The study is designed to assess whether probabilistic rebates generate similar behavioral responses to guaranteed rebates, and to examine whether responses vary systematically with the probability of receiving a rebate. This experiment constitutes a new study conducted in response to reviewer comments on a prior preregistration (AEARCTR-0015002, “Lottery incentives and carbon pricing rebates”).
External Link(s)

Registration Citation

Citation
Drichoutis, Andreas and Marco Palma. 2026. "Probabilistic Cash Rebates and Consumption Choices under Carbon Pricing." AEA RCT Registry. April 16. https://doi.org/10.1257/rct.17601-2.0
Experimental Details

Interventions

Intervention(s)
Participants take part in an online decision task in which they choose how many units of a product to purchase at a fixed price that reflects a carbon-related charge. Purchasing fewer units is associated with greater environmental benefits. Depending on the treatment group, participants may receive no cash rebate, a guaranteed cash rebate, or a cash rebate that is awarded with a specified probability. The size of the rebate is fixed, but the likelihood of receiving it varies across groups. Participants make decisions in four rounds and receive feedback about outcomes after each decision round, with one round randomly selected to determine their final payoff.
Intervention (Hidden)
Participants complete an online, incentivized experiment in which they make four repeated consumption decisions under a fixed price that incorporates a carbon-related charge. In each round, participants choose an integer number of units n={0, 1, 2, 3, 4} of a fictitious product. Each unit provides a declining private value: the first unit yields a value of $15, the second unit a value of $14.5, the third unit a value of $14 and the fourth unit a value of $13.5. The price per unit is fixed at $13 in all rounds and treatments. Monetary payoffs in each round are determined by the sum of the private values of the units purchased minus total expenditures.

Consumption choices are linked to real environmental consequences. For each unit not consumed, the experimenters commit to retire carbon emission allowances equivalent to 50 pounds of CO2. Thus, if a participant foregoes all four units, 200 pounds of CO2 are retired; if three units are foregone, 150 pounds of CO2 are retired; if two units are foregone, 100 pounds are retired; if one unit is foregone, 50 pounds are retired; and if all four units are purchased, no allowances are retired. These offsets are implemented by the research team upon completion of the study.

Participants are randomly assigned to one of several treatment conditions that differ in the presence and structure of a cash rebate. In the no-rebate control condition, participants receive no rebate regardless of their consumption choices. In the sure rebate condition, participants receive a guaranteed rebate of $2 for each unit not consumed. In probabilistic rebate conditions, the per-unit rebate amount remains $2, but it is awarded only with a specified probability. Specifically, participants in the 50% treatment receive the rebate with 50% probability, participants in the 25% treatment receive it with 25% probability, and participants in the 10% treatment receive it with 10% probability. In probabilistic treatments, the rebate lottery is resolved independently at the end of the experiment for the payoff-relevant round.

The decision task is repeated for four rounds. To preserve incentive compatibility while limiting total payments, one of the four rounds is randomly selected at the end of the experiment to determine the participant's final payoff. Participants receive feedback after each round about their monetary payoff and the associated carbon offset. All payments are made in real money.

In addition to the main decision task, participants complete a short incentivized task to elicit individual risk preferences, as well as a demographic questionnaire. The experimental design allows for a comparison of consumption behavior under guaranteed versus probabilistic rebate schemes and for an assessment of how responses vary systematically with the probability of receiving a rebate, while holding prices and private values constant.
Intervention Start Date
2026-04-01
Intervention End Date
2026-04-30

Primary Outcomes

Primary Outcomes (end points)
The primary outcome is the number of units purchased in Round 1, Yi1 = {0,1,2,3,4}, treated as continuous. This measure also provides the participants desired level for the experimenters commitment to retire carbon emission allowances equivalent to 50 pounds of CO2 per unit not purchased.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary outcomes include the average number of units purchased across all four rounds, Ybar_i = (1/4) * sum_{r=1}^4 Yir, the round-by-round choices Yir, and measures of dynamics such as Yi4 − Yi1.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study uses a between-subjects experimental design with random assignment to one of five incentive conditions: no rebate, sure rebate, or a probabilistic rebate with a 50%, 25%, or 10% probability. Participants complete a sequence of four decision rounds. In each round, they choose how many units (0–4) of a fictitious consumption good to purchase at a fixed price. Each unit provides a privately induced monetary value to the participant, while consumption is associated with carbon emissions that can be offset by the researchers depending on participants' choices.

In rebate conditions, participants are informed that they may receive a monetary rebate linked to the number of units they choose not to consume. The structure of the rebate varies by treatment in terms of the probability with which it is paid. Participants receive feedback after each round about their own choices and the corresponding carbon offset. At the end of the experiment, one round is randomly selected to determine monetary payoffs.

Randomization is conducted at the individual level, and all participants face the same price, values, and decision environment aside from the rebate probability. The design allows comparison of choices across incentive conditions and across rounds within individuals.
Experimental Design Details
The experiment uses a between-subjects design with random assignment to one of five incentive conditions: no rebate, sure rebate (100 percent probability), or a probabilistic rebate paid with 50 percent, 25 percent, or 10 percent probability. Each participant completes four decision rounds. In each round, participants choose an integer number of units n = {0, 1, 2, 3, 4} of a fictitious consumption good.

The price of the good is fixed at P = $13 per unit. Each unit provides a privately induced monetary value, with values equal to v1 = $15, v2 = $14.5, v3 = $14 and v4 = $13.5 for the first, second, third and fourth unit, respectively. Monetary payoffs in each round are equal to the sum of the values of the purchased units minus total expenditure, plus any rebate realized in that round. In the no-rebate condition, no rebate is available.

In rebate conditions, participants are eligible to receive a monetary rebate of $2 for each unit not consumed. In the sure rebate treatment, the rebate is paid with certainty. In the probabilistic rebate treatments, the rebate is paid with the treatment-specific probability (50 percent, 25 percent, or 10 percent), independently for each participant and round. Participants are informed of the rebate probability associated with their assigned treatment before making decisions.

Each unit of consumption is associated with carbon emissions. For each unit not consumed, the experimenters commit to offset 50 pounds of carbon dioxide. As a result, carbon offsets per round equal 200 pounds if zero units are purchased, 150 pounds if one unit is purchased, 100 pounds if two units are purchased, 50 pounds if one unit is purchased and zero pounds if four units are purchased.

At the end of the experiment, one of the four rounds is randomly selected to determine monetary payoffs. Carbon offsets associated with each round are implemented as described in the instructions. Randomization is conducted at the individual level, and aside from the rebate probability, all participants face identical prices, values, payoff rules, and information.
Randomization Method
Randomization is implemented by the experimental software (Qualtrics or oTree). Participants are randomly assigned to one of the treatment conditions upon entering the study by the experimental software.
Randomization Unit
Randomization is conducted at the individual participant level. Each participant is independently assigned to a treatment condition. There is no cluster-level or group-level randomization.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not applicable. Randomization is conducted at the individual participant level, and there are no clusters.
Sample size: planned number of observations
Planned Number of Observations: 1,036 individual participants * 4 rounds = 4,144. N = 1,012 is chosen to achieve 80% power at alpha=0.05 for the primary Sure vs 10% contrast with MDE=0.20 under the prespecified unequal allocation.
Sample size (or number of clusters) by treatment arms
No rebate (control): 104 participants
Sure rebate (100%): 362 participants
50% rebate: 104 participants
25% rebate: 104 participants
10% rebate: 362 participants
Total: 1,036 participants
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See uploaded file in the Analysis Plan section.
IRB

Institutional Review Boards (IRBs)

IRB Name
Human Research Protection Program TAMU
IRB Approval Date
2026-03-10
IRB Approval Number
MOD00003631
Analysis Plan

Analysis Plan Documents

Sample size calculations

MD5: e7e3af13075f8a0db1bd3db0ff5f03d0

SHA1: 4b9f211d0ddf66af6c08ece37c015d1cf294abdf

Uploaded At: March 30, 2026

Post-Trial

Post Trial Information

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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