Me vs Others: Perception Gaps and Support for Redistribution and Paternalism

Last registered on May 21, 2025

Pre-Trial

Trial Information

General Information

Title
Me vs Others: Perception Gaps and Support for Redistribution and Paternalism
RCT ID
AEARCTR-0016008
Initial registration date
May 14, 2025

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 21, 2025, 2:31 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Harvard University

Other Primary Investigator(s)

PI Affiliation
Harvard University
PI Affiliation
Paris School of Economics

Additional Trial Information

Status
On going
Start date
2025-04-07
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The Better-than-Average Effect (BTAE) is a well-documented psychological phenomenon whereby individuals systematically perceive their own abilities, attributes, and personality traits as superior to those of their average peer. We study the role of this bias in the context of redistribution and paternalistic policies. We design a novel, large-scale online survey with three main objectives. First, we document the extent to which individuals perceive themselves as superior to others along dimensions directly relevant to redistribution and paternalistic policies. Second, we examine the anatomy of the BTAE, investigating whether it can be explained by observable characteristics and how the intensity of misperceptions varies with different comparison groups. Third, we study whether and how the BTAE shapes support for redistribution and paternalistic policies, both correlationally and causally through online experiments. By analyzing how the BTAE shapes policy views, we aim to advance our understanding of the psychological foundations underlying policy preferences.
External Link(s)

Registration Citation

Citation
Bézy, Thomas, Francesco Nuzzi and Stefanie Stantcheva. 2025. "Me vs Others: Perception Gaps and Support for Redistribution and Paternalism." AEA RCT Registry. May 21. https://doi.org/10.1257/rct.16008-1.0
Experimental Details

Interventions

Intervention(s)
We study the anatomy of the BTAE and its causal impact on support for redistribution and paternalism.To this aim, we conduct a novel large-scale online survey that allows us to collect, for each respondent, baseline socioeconomic and financial characteristics, perceptions about themselves and about other people along a variety of policy-relevant dimensions, and their policy preferences. To establish a causal link between the BTAE and policy views, we implement two "de-biasing" experimental interventions designed to shift perception gaps and consequently policy preferences (as explained below).
Intervention (Hidden)
Intervention Start Date
2025-04-07
Intervention End Date
2025-12-31

Primary Outcomes

Primary Outcomes (end points)
We have two classes of main outcomes. The first class is composed of Better-Than-Average Effect (BTAE) measures, capturing the difference between respondents’ self-perceptions and their perceptions of others in a particular reference group (people with similar income vs low-income people) along a specific dimension. We consider the following dimensions: behavioral responses to changes in economic policies, spending behavior in response to government transfers, financial decision-making, psychological characteristics, attitudes such as patience and self control, personality traits, free-riding tendencies, and, for comparability, dimensions trypically associated with the BTAE in the literature in psychology.

The second class of outcomes is composed of policy views. We consider general views about redistribution, specific redistribution policies, paternalistic policies, and additional policies related to immigration, climate change, affirmative action, gun and drugs control, and sin taxes.
Primary Outcomes (explanation)
BTAE measures are defined as the difference between self-rating and others-rating along a particular dimension. The domain of their units depends on the survey question scale. We also construct domain-specific BTAE indices by aggregating related questions. More specifically, we consider the following domains directly related to economic behaviors:
- Behavioural responses following a policy change
- Spending decisions
- Responsibility (e.g., self-control, patience)
- Perceptions of merit
- Free-riding
Then, we also consider domains that are not directly related to economic decisions but that are commonly studied in the psychology literature (e.g., honesty, kindness…).

We also construct domain-specific indices for policy views on:
- Support for paternalistic policies
- Support for redistribution

Secondary Outcomes

Secondary Outcomes (end points)
To complement self-reported preferences, we include in the survey consequential economic decisions with real monetary stakes. Participants are automatically enrolled in a lottery to win $100, which creates a scenario for measuring revealed preferences through actual financial decisions. First, participants indicate how much of their potential $100 lottery winnings they would donate to charities helping low-income households. Next, those willing to donate must choose between two charity types: one providing direct cash transfers that recipients can use as they wish or another one delivering food where beneficiaries only benefit through food consumption. Finally, participants estimate how much other respondents donated on average, with financial incentives for accuracy.

Moreover, we will investigate whether background characteristics of respondents play a role. We will thus look at outcomes by income, age, gender, political affiliation, and education levels. We will also collect measures of self-interest connected with each policy (e.g., being a policy recipient) to study the role of self-interest in mediating the relation between the BTAE and policy views.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants are randomly assigned to one of three experimental conditions with equal probability: 1) Control group: Participants receive no information about the BTAE; 2) Indirect BTAE treatment: Participants view an educational video explaining the Better-Than-Average Effect as a common psychological phenomenon. The video defines the bias, presents scientific evidence of its prevalence, and illustrates how it manifests in everyday judgments; 3) Direct BTAE treatment: Participants receive the same educational content as in the indirect BTAE treatment, but the examples taken are economic ones and directly related to the BTAE perception gaps measured in the survey.

In addition, our survey flow makes the following randomization assignments. Comparison group: Participants are randomly assigned to make comparisons either with ”similar others” (defined as people with comparable income and family situation) or with ”low-income others”. Me-Others Question order: For each perception block, participants are randomly assigned to either rate themselves first and others second, or rate others first and themselves second. Survey module order: The sequence of perception measures and policy preference questions is randomized, with half of participants encountering policy questions before the second batch of perception measures and half after. Finally, some perception questions are randomly asked before treamtent, while some others after, so as to capture baseline BTAE measures for respondents in the two main treatment arms.
Experimental Design Details
Randomization Method
Randomization is performed by Qualtrics.
Randomization Unit
Randomization is performed at the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
3,000 individuals.
Sample size: planned number of observations
3,000 individuals.
Sample size (or number of clusters) by treatment arms
Each respondent is assigned to one of the treatment arms defined above with equal probability. In the case of our main treatment assignment (control group and video treatments), we are planning to have 1000 respondents in each branch.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard University
IRB Approval Date
2022-08-24
IRB Approval Number
IRB22-0944
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