Impact of digitally enabled flexible pay on consumption smoothing & women's economic empowerment: A randomized control trial

Last registered on August 29, 2022

Pre-Trial

Trial Information

General Information

Title
Impact of digitally enabled flexible pay on consumption smoothing & women's economic empowerment: A randomized control trial
RCT ID
AEARCTR-0009902
Initial registration date
August 29, 2022

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
August 29, 2022, 5:11 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
University of Michigan

Other Primary Investigator(s)

PI Affiliation
University of Michigan
PI Affiliation
University of Michigan
PI Affiliation
Good Business Lab
PI Affiliation
Good Business Lab
PI Affiliation
Busara Center for Behavioral Economics
PI Affiliation
Busara Center for Behavioral Economics

Additional Trial Information

Status
In development
Start date
2022-10-20
End date
2023-09-28
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The garment manufacturing industry in many low-income countries, though characterized by minimum living wages, provides the means for enhancing personal and/or household economic prospects for the overwhelming majority of women employed in its factories (Kabeer and Mahmud, 2004). However, despite a stable and predictable income stream, many struggle to make their incomes stretch until the next payday (Breza et al., 2017). The ability of households to smooth consumption between paychecks, and make time-consistent budgeting and cope with emergencies and budget shortfalls has been extensively studied in the literature. In this context, financial interventions aimed at women in particular, such as microfinance loans, have received widespread attention in developing countries given they offer households ways to smooth consumption while simultaneously empowering women (Mahmud 2003).

In the present study, we study whether one such financial intervention, i.e., provision of access to liquidity between pay-checks through an employer salary advance at zero interest rate aid women workers and their households to improve their financial well-being and specifically empowers women by improving their bargaining outcomes as reflected in their household decision-making power. Through smoothening household consumption over the month, the salary advance intervention has the potential to reduce financial stress and thereby improve workers’ attendance and productivity and reduce attrition among them. Thus, this study also aims to provide a business case for the adoption of such financial interventions by businesses at large.

External Link(s)

Registration Citation

Citation
Adhvaryu, Achyuta et al. 2022. "Impact of digitally enabled flexible pay on consumption smoothing & women's economic empowerment: A randomized control trial ." AEA RCT Registry. August 29. https://doi.org/10.1257/rct.9902-1.0
Experimental Details

Interventions

Intervention(s)
This is a randomized control trial. The study sample will be randomized into either the treatment or control group. Participants in the treatment group will be provided access to their earned salary via a digital application placed on their factory floor. They will be able to withdraw their earned salary on any given day based on the number of days worked and in accordance with the factory's salary policy.
Intervention Start Date
2023-01-06
Intervention End Date
2023-07-05

Primary Outcomes

Primary Outcomes (end points)
1. Does salary advance lead to better financial well-being (like the ability to afford food/medical care (material hardship), the experience of negative events (income shocks, health emergency, debt collections), confidence in one’s ability to come up with INR 5000 in 7/30 days, reduced difficulty in paying utility bills and spending on healthcare and education) of workers in the treatment group compared to those in the control group?
2. Does the salary advance facility reduce the reliance of treated workers on informal sources for short-term credit (for example, pawn shop loans) during financial contingencies?
3. Does salary advance enable workers to better smooth their consumption between paychecks?
4. Does exposure to a salary advance intervention lead to improved workplace outcomes – greater productivity, lower absenteeism, and lower attrition?


Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
1. Do women workers with salary advance facilities have higher bargaining power through their preferences being reflected more in household financial decision-making compared to women without salary advance facilities?
2. Does exposure to a salary advance intervention lead to lower financial stress and higher self-efficacy for women?
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomize women workers in a factory into either group (control/treatment) from a study population of 3000 workers. Treatment group participants will have access to their earned salary via a digital application setup within a tablet on the factory floor. Participants in the treatment group will be provided with training on the digital application prior to the roll-out of the intervention. A study sample of 900 will be randomized into either group on a 1:1 basis.

Treatment arm: 450 participants are eligible to access the salary advance application.
Control arm: 450 participants will act as a control and operate under business as usual (regular pay cycles).
Experimental Design Details
Randomization Method
Randomization is done in the office via a computer.
Randomization Unit
Individual level randomization
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
900
Sample size (or number of clusters) by treatment arms
1500 in control, and 1500 in treatment (with 450 from each group as part of the surveys).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Good Business Lab
IRB Approval Date
2022-08-05
IRB Approval Number
N/A

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