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Behavioral Consumer Reactions to Product Size Changes

Last registered on April 01, 2026

Pre-Trial

Trial Information

General Information

Title
Behavioral Consumer Reactions to Product Size Changes
RCT ID
AEARCTR-0015352
Initial registration date
March 27, 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
April 01, 2026, 10:18 AM 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

Affiliation
Nova School of Business and Economics

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2026-03-28
End date
2028-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study examines package size changes. It has two empirical parts: first, we exploit supermarket scanner data by developing an algorithm to identify size changes, which allows us to provide novel descriptive statistics and study how consumer respond to size and price changes. Second, we conduct an online experiment to investigate whether consumers respond differently to these two types of changes and to test whether different ways of displaying information causally affect consumer decisions. We also examine how package size changes affect the welfare of different groups of consumers and discuss how our results relate to different public policies. The empirical analyses are guided and complemented by theoretical models.
External Link(s)

Registration Citation

Citation
Pires, Pedro. 2026. "Behavioral Consumer Reactions to Product Size Changes." AEA RCT Registry. April 01. https://doi.org/10.1257/rct.15352-1.0
Experimental Details

Interventions

Intervention(s)
Our study evaluates how consumers respond to changes in product attributes through an incentivized online experiment. Participants complete multiple shopping scenarios, with some (randomly chosen) participants receiving their chosen products through home delivery to ensure incentive-compatible decision-making. We reproduce key features of real-world shopping environments. The experiment includes different treatment conditions that modify how information is conveyed to consumers.
Intervention Start Date
2026-03-28
Intervention End Date
2026-12-31

Primary Outcomes

Primary Outcomes (end points)
Consumer quantity demanded for different products in each shopping scenario.

Beliefs about product attributes and their accuracy.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants complete a series of shopping scenarios with incentivized purchase decisions, where some participants will receive their chosen products through home delivery. After the first block of scenarios, participants are randomly assigned to different treatment conditions that modify how information is presented in the latter half of shopping scenarios. Each participant completes a total of six shopping scenarios.
Experimental Design Details
Not available
Randomization Method
Randomization is implemented through an online survey platform.
Randomization Unit
Shopping environments (for the last three scenarios), the probability of size changes, the frequency of belief elicitation and incentives for belief elicitation are randomized at the individual level. These randomizations are independent of each other.
Displayed product prices and sizes are randomized at the product by scenario by individual level.
The shopping decisions we will implement through home delivery are selected first by randomly choosing individuals, then by randomly choosing a scenario for each of those individuals.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
We expect about 2,000 participants. The exact number will depend on the realized cost per participant.
Sample size (or number of clusters) by treatment arms
Around 500 participants per shopping environment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Office for Protection of Human Subjects (OPHS) UC Berkeley
IRB Approval Date
2026-03-20
IRB Approval Number
2025-01-18189
IRB Name
Institutional Review Board - Nova School of Business and Economics
IRB Approval Date
2024-11-06
IRB Approval Number
2024140
Analysis Plan

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