Needs-Based Targeting of Anti-Poverty Transfers: A Self-Fulfilling Prophecy? Evidence from a Lab-in-the-Field Experiment in Rural Uganda

Last registered on May 01, 2024

Pre-Trial

Trial Information

General Information

Title
Needs-Based Targeting of Anti-Poverty Transfers: A Self-Fulfilling Prophecy? Evidence from a Lab-in-the-Field Experiment in Rural Uganda
RCT ID
AEARCTR-0013492
Initial registration date
April 26, 2024

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 01, 2024, 1:39 PM EDT

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

Locations

Primary Investigator

Affiliation
University of Groningen

Other Primary Investigator(s)

PI Affiliation
University of Groningen

Additional Trial Information

Status
In development
Start date
2024-04-29
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
While poverty has continued to persist, policy makers have implemented a range of anti-poverty transfer programs. Various strands of economic and psychological literature have documented both intended and unintended effects of anti-poverty transfers, including increased feelings of inferiority. This study extends the literature by examining how anti-poverty transfers may lead to such feelings of inferiority and hence also to lower investments. First, we develop a theoretical model in which individuals internalize signals from transfers. We predict that recipients of targeted transfers will negatively update their beliefs about their returns to investments and therefore reduce investments, compared to similar recipients of universal transfers. Next, we will test the model’s predictions withWe organize a lab-in-the-field experiment in rural Uganda to test whether participants internalize signals from either needs-based or universal anti-poverty transfers, and change their investment decisions accordingly. Our results will help to understand the impact of different types of anti-poverty transfers, and thereby help to design effective anti-poverty strategies.
External Link(s)

Registration Citation

Citation
Dongen, Lisa van and Mark Treurniet. 2024. "Needs-Based Targeting of Anti-Poverty Transfers: A Self-Fulfilling Prophecy? Evidence from a Lab-in-the-Field Experiment in Rural Uganda." AEA RCT Registry. May 01. https://doi.org/10.1257/rct.13492-1.0
Sponsors & Partners

Sponsors

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Experimental Details

Interventions

Intervention(s)
After a first round with six investment decisions, we introduce anti-poverty transfers that are given either (i) indirectly targeted to the participants that earned the least with completing sorting tasks in the first round, (ii) directly targeted to the types with a low reward for completed sorting tasks or (iii) universally given to all participants.
Intervention Start Date
2024-04-29
Intervention End Date
2024-06-21

Primary Outcomes

Primary Outcomes (end points)
Investment in sorting tasks, defined as the proportion of sorting tasks bought in round 2
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Beliefs about reward type
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We organize a lab-in-the-field experiment in which participants repeatedly can either choose for a fixed compensation, or choose to invest in a sorting task and potentially earn a higher amount. The reward for completing the sorting task depends on their randomized reward type, which is unknown to participants at the start of the game. After a first round with six investment decisions, we introduce anti-poverty transfers that are given either (i) indirectly targeted to the participants that earned the least with completing sorting tasks in the first round, (ii) directly targeted to the types with a low reward for completed sorting tasks or (iii) universally given to all participants, where the first and second contain a signal about the participants’ reward type.
Experimental Design Details
Not available
Randomization Method
Randomization by computer
Randomization Unit
Groups of four individuals
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
201 groups
Sample size: planned number of observations
804 individuals
Sample size (or number of clusters) by treatment arms
67 groups indirect targeting, 67 groups direct targeting, 67 groups universal treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
0.10-0.14 for proportions, depending on the comparison (see our Pre-analysis plan for details)
IRB

Institutional Review Boards (IRBs)

IRB Name
Institutional Review Board, Faculty of Economics and Business, University of Groningen
IRB Approval Date
2023-04-19
IRB Approval Number
FEB-20230210-13899
IRB Name
Research Ethics Committee, College of Business and Management Sciences, Makerere University
IRB Approval Date
2023-08-11
IRB Approval Number
CoBAMS-REC-2023-7
Analysis Plan

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