Income Mobility, Redistribution and Trust

Last registered on December 01, 2025

Pre-Trial

Trial Information

General Information

Title
Income Mobility, Redistribution and Trust
RCT ID
AEARCTR-0017352
Initial registration date
November 30, 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
December 01, 2025, 12:00 PM EST

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

Locations

Region
Region

Primary Investigator

Affiliation
Università di Siena

Other Primary Investigator(s)

PI Affiliation
Università di Siena

Additional Trial Information

Status
In development
Start date
2025-12-01
End date
2026-04-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In societies with stagnant inequality, perceived economic unfairness erodes interpersonal trust. We conducted a lab experiment to examine how relevant features of two mechanisms for reducing inequality -- income mobility and redistribution -- affect trust. Mobility equalizes opportunities by allowing movement up or down the income ladder, reducing expected income disparities over time but maintaining actual inequality. Redistribution equalizes outcomes by narrowing actual income gaps through taxation. We compare these mechanisms employing a two-period Trust Minigame with three conditions: i) a control with high endowment inequality; ii) a treatment reducing actual endowment dispersion to equalize outcomes; iii) a second treatment using stochastic rank reversal to reduce expected endowment dispersion and equalize opportunities. Based on inequity aversion models, we expect the outcome-equalizing treatment to foster higher aggregate trust than the opportunity-equalizing treatment.
External Link(s)

Registration Citation

Citation
Stimolo, Marco and Alessandro Stringhi. 2025. "Income Mobility, Redistribution and Trust." AEA RCT Registry. December 01. https://doi.org/10.1257/rct.17352-1.0
Experimental Details

Interventions

Intervention(s)
Between-subjects design based on a trust mini-game with dichotomous actions and heterogeneous endowments. Senders hold a median endowment (“Middle Class”), while Receivers hold either a lower (“Poor”) or higher (“Rich”) endowment relative to Senders. The trust mini-game is repeated in two blocks of 10 periods each. The design employs three treatments, in which the dispersion of the endowment distribution is manipulated (see Instructions for further details).

High Inequality (T0). In the first treatment, both blocks maintain high levels of endowment inequality. This setting represents a control condition with a symmetric but highly dispersed endowment distribution. The difference between “Rich” and “Poor” Receivers and the “Middle-class” Sender is equal to ±4 ECUs.

Low Inequality (T1). In the second treatment, endowment inequality in both blocks is halved compared to T0. The endowment distribution becomes less dispersed, with the difference between “Rich” and “Poor” Receivers and the “Middle-class” Sender reduced to ±2 ECUs.

Rank Reversal (T2). In the third treatment, the level of inequality within each block matches T0, but at the beginning of the second block there is a 50% chance of rank reversal for Receivers: half of the “Poor” become “Rich”, and half of the “Rich” become “Poor”. The expected individual endowment across blocks matches that of T1, resulting in a lower average dispersion of the endowment distribution compared to T0.
Intervention Start Date
2025-12-01
Intervention End Date
2026-04-01

Primary Outcomes

Primary Outcomes (end points)
Senders’ Trust (Block 1, by Receiver endowment): For each Sender, the proportion of decisions in the first block (10 decisions) in which the action “Continue” is chosen, computed separately for rounds in which the matched Receiver is “Poor” and “Rich”.

Receivers’ Trustworthiness (Block 1, by own endowment): For each Receiver, the proportion of decisions in the first block (10 decisions) in which the action “Share” is chosen, computed separately for “Poor” and “Rich” Receivers.

First-order Beliefs (Block 1): In each decision of block 1, Senders state an integer belief on a 0–5 scale about how many Receivers in the same bracket (“Poor” or “Rich”) will choose “Share” in that round. Primary belief outcomes are the distribution (e.g., mean) of these first-order beliefs in block 1, by Receiver bracket and treatment.

Second-order Beliefs (Block 1): In each decision of block 1, Receivers state an integer belief on a 0–5 scale guessing the matched Sender’s estimate. Primary belief outcomes are the distribution (e.g., mean) of these second-order beliefs in block 1, by Receiver bracket and treatment.
Primary Outcomes (explanation)
We focus on block-1 outcomes because they capture behavior and beliefs ex ante, before any mobility shock is realized. In this block, the distribution of types is comparable across treatments, so differences in trust and trustworthiness can be cleanly attributed to differences in anticipated inequality and mobility rather than to realized changes in individuals’ endowments.

Secondary Outcomes

Secondary Outcomes (end points)
We measure the same outcomes as for block 1, but for the second block:
– Senders’ trust: proportion of “Continue” choices.
– Receivers’ trustworthiness: proportion of “Share” choices.
– First-order and second-order beliefs (0–5 scale), defined as in block 1.

As in the primary outcomes, these measures are computed by Receiver endowment (“Poor” vs “Rich”). In addition, in the mobility treatment (T2) we further condition on the four possible endowment paths across blocks (Poor→Poor, Poor→Rich, Rich→Rich, Rich→Poor).
Secondary Outcomes (explanation)
Block 2 outcomes are classified as secondary because, in T2, the mobility shock between blocks endogenously changes the composition and experience of Receivers (Poor→Poor, Poor→Rich, Rich→Rich, Rich→Poor). Our main comparisons across treatments are theoretically defined for decisions taken under ex ante expectations of mobility (block 1), when the distribution of types is comparable across treatments; block 2 analyses, which condition on realized endowment paths, are therefore treated as secondary and exploratory.

Experimental Design

Experimental Design
The experiment is conducted in the lab using oTreeg. Participants are assigned to one of three between-subjects treatments (T0: High Inequality, T1: Low Inequality, T2: Rank Reversal) and randomly to one of two roles, which remain fixed throughout: role A (“Middle-class” Sender) and role B (Receiver).

In each treatment, role-A participants receive a fixed endowment of 6 tokens in every period. Role-B participants are evenly split into a Low and a High endowment bracket. In T0 and T2, these brackets are (2, 10) tokens; in T1 they are (4, 8) tokens. The experiment consists of two blocks of 10 periods each (20 periods total). In every period, each A is randomly and anonymously matched with a B, under a typed-stranger protocol such that the same A–B pair does not meet more than once within a block. A is informed whether the matched B is Low or High; each participant knows their own endowment and the payoff structure.

In each period, A chooses between Stop and Continue, and B simultaneously chooses between Take and Share. If A chooses Stop, both players earn their initial endowment for that period. If A chooses Continue and B chooses Share, A’s payoff is twice A’s initial endowment (12 tokens) and B’s payoff is twice B’s initial endowment (treatment- and bracket-specific). If A chooses Continue and B chooses Take, A earns 0 tokens, while B earns twice their initial endowment plus 2 tokens. Apart from the endowment levels, the game structure is identical across treatments. The only additional difference is that in T2, between block 1 and block 2, 50% of Low-B participants are randomly reassigned to the High bracket and 50% of High-B participants to the Low bracket; in T0 and T1, brackets are fixed across blocks.

In each period, while making the action decision, A also reports a first-order belief (0–5) about how many B participants in the same bracket as the B they are currently paired with (i.e., “Poor” or “Rich”) will choose Share in that period. B reports a second-order belief (0–5) guessing the estimate made by the matched A in that period. At the end of the experiment, one period from each block is randomly selected for payment of choice-based earnings, and beliefs are additionally incentivized with a fixed payment per correct report.
Experimental Design Details
Not available
Randomization Method
Block randomization: In each experimental session, participants will be assigned to the same treatment. The number of sessions of each of the three treatment groups will be the same to ensure the same sample size. Sessions order will be randomized.
Randomization Unit
Experimental session.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
No less than 12 laboratory sessions.
Sample size: planned number of observations
240 individual participants, organized in 12 laboratory sessions with exactly 20 subjects per session.
Sample size (or number of clusters) by treatment arms
treatment arms with individual randomization:
– T0 High Inequality: 80 subjects (4 sessions)
– T1 Low Inequality: 80 subjects (4 sessions)
– T2 Rank Reversal: 80 subjects (4 sessions)

Total planned sample: 240 subjects.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Power calculations give us a required sample of 240. Power calculations are found in the "power analysis" file attached to this pre registration.
Supporting Documents and Materials

Documents

Document Name
Instructions
Document Type
survey_instrument
Document Description
File
Instructions

MD5: 5680782d36f7a7abbced6a7d68225f36

SHA1: 26303f80d6157dce7cee1be81dd062c6d910e32b

Uploaded At: November 26, 2025

Document Name
Power Analysis
Document Type
other
Document Description
File
Power Analysis

MD5: 07133c447ae896dac46eae17bd1795e6

SHA1: d353f0d2427d9e8618c0b9955d0ae9cb598987bd

Uploaded At: November 30, 2025

IRB

Institutional Review Boards (IRBs)

IRB Name
Comitato per la RicercA Etica nelle scienze Umane e Sociali – CAREUS
IRB Approval Date
2024-03-14
IRB Approval Number
n. 13/2024
Analysis Plan

Analysis Plan Documents

Pre Analysis Plan

MD5: d8800dd0b27e965b9f814bd2bc614acf

SHA1: 7aa208d827faa77c7786e81dd919fe182136a438

Uploaded At: November 30, 2025