The Welfare Effects of Beneficiary Control over the Timing of Cash Transfers

Last registered on November 15, 2024

Pre-Trial

Trial Information

General Information

Title
The Welfare Effects of Beneficiary Control over the Timing of Cash Transfers
RCT ID
AEARCTR-0014679
Initial registration date
October 30, 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
November 15, 2024, 1:01 PM EST

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

Locations

Region

Primary Investigator

Affiliation
International Food Policy Research Institute

Other Primary Investigator(s)

PI Affiliation
University of Washington
PI Affiliation
University of Washington
PI Affiliation
University of California, Berkeley

Additional Trial Information

Status
In development
Start date
2024-05-07
End date
2028-07-07
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
To exit poverty, income streams of the poor must align with their liquidity needs (e.g., large investments, consumption-smoothing, saving for shocks, and smaller expenses). Traditional cash transfer programs lack flexibility, offering only fixed payment structures. This project will measure the demand for, and the welfare impacts of, the choice of a fully flexible payment schedule (times and amounts) in partnership with the Government of Ghana's Livelihood Against Poverty Program (LEAP). First, we will elicit beneficiary preferences over preferred times and amounts of cash transfers and measure the willingness to accept the LEAP default timing instead (smooth, equal, bi-monthly transfers). Second, we will use a randomized trial with the following distribution programs (equal in total value): (1) smooth, bi-monthly transfers (LEAP default) vs. (2) lump-sum transfers vs. (3) fully-flexible payment schedule that provides choice over the timing of transfers to assess impacts on subjective well-being (Benjamin et al 2014), consumption expenditures (we will use this to derive marginal utility of expenditures (MUEs) following Ligon (2020) and the treatment’s welfare effects), income, assets, savings and debt, women’s empowerment, and mental health. We will further explore whether liquidity or risk drives these impacts by stratifying treatments on village “financial health” (low, medium, high) (Innovations for Poverty Action IPA 2020). After evaluating the main effects at endline by comparing the lump-sum, bi-monthly, and fully-flexible programs, we plan to later implement a mechanism experiment to causally test whether the main effects are explained by either (i) commitment and self-control motive (full flexibility + free savings product) or (ii) consumption self-insurance motive (full flexibility + free insurance product).
External Link(s)

Registration Citation

Citation
Annan, Francis et al. 2024. "The Welfare Effects of Beneficiary Control over the Timing of Cash Transfers." AEA RCT Registry. November 15. https://doi.org/10.1257/rct.14679-1.0
Experimental Details

Interventions

Intervention(s)
We will use a randomized trial with the following distribution programs: (1) smooth (equal), bi-monthly transfers (the LEAP Programme’s default schedule) vs. (2) lump-sum transfers vs. (3) fully-flexible payment schedule that provides “choice” over the timing of transfers. Each would have a duration of one year. LEAP provides 18 USD every two months, and accordingly, the lump-sum would be 108 USD, and the maximum amount that households could allocate over time in the fully flexible schedule would also be 180 USD.

After evaluating the main effects at endline by comparing the lump-sum, bi-monthly, and fully-flexible programs, we plan to later implement a mechanism experiment to causally test whether the main effects are explained by either (i) commitment and self-control motive (full flexibility + free savings product) or (ii) consumption self-insurance motive (full flexibility + free insurance product).
Intervention Start Date
2025-01-11
Intervention End Date
2027-01-11

Primary Outcomes

Primary Outcomes (end points)
Marginal Utility of Expenditure (MUE), subjective well-being, willingness to accept (WTA)
Primary Outcomes (explanation)
MUE - see Ligon (2020)
Subjective well-being - see Benjamin, Heffetz, Kimball, and Szembrot (2014)
Willingness to accept (WTA) - Becker-DeGroot-Marschak (BDM) method

Secondary Outcomes

Secondary Outcomes (end points)
Consumption, assets, savings, debt, depression, stress, anxiety, self-esteem, women's empowerment, risk-aversion, ambiguity-aversion, time preferences, cognition
Secondary Outcomes (explanation)
Consumption - mean daily expenditures per adult equivalent unit (food and non-food consumption)
Assets - first principal component of a PCA analysis on a list of 17 assets (productive and durables)
Savings - any savings, amount of savings
Debt - any debt, amount of debt, lender
Depression - PHQ-9
Stress - Cohen's Perceived Stress Scale
Anxiety - GAD-7
Self-esteem - Rosenberg Self-Esteem Scale
Women's empowerment -
Risk and ambiguity-aversion - double multiple price list
Time preferences - multiple price list
Cognition - digit span forward and backward

Experimental Design

Experimental Design
We will use a randomized trial with 1,500 households in 150 villages that will receive either (1) smooth (equal), bi-monthly cash transfers (the LEAP Programme’s default schedule) vs. (2) lump-sum transfers vs. (3) fully-flexible payment schedule that provides “choice” over the timing of transfers. We will stratify treatments on village “financial health” (low vs medium vs high) (Innovations for Poverty Action IPA 2020). After evaluating the main effects at endline by comparing the lump-sum, bi-monthly, and fully-flexible programs, we plan to later implement a mechanism experiment to causally test whether the main effects are explained by either (i) commitment and self-control motive (full flexibility + free savings product) or (ii) consumption self-insurance motive (full flexibility + free insurance product).
Experimental Design Details
Not available
Randomization Method
Stratified, clustered randomization conducted by Stata.
Randomization Unit
Village
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
150 villages
Sample size: planned number of observations
1,500 households
Sample size (or number of clusters) by treatment arms
50 villages smooth bi-monthly payments, 50 villages lump-sum payments, 50 villages fully flexible (timing and amount) payments
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of California of Berkeley
IRB Approval Date
2024-01-09
IRB Approval Number
2023-12-16960