Digitizing G2P Payments in Bangladesh

Last registered on March 18, 2020

Pre-Trial

Trial Information

General Information

Title
Digitizing G2P Payments in Bangladesh
RCT ID
AEARCTR-0003972
Initial registration date
March 04, 2019

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
March 08, 2019, 3:49 PM EST

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

Last updated
March 18, 2020, 1:55 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Harvard Business School

Other Primary Investigator(s)

PI Affiliation
Florida International University
PI Affiliation
Harvard Business School
PI Affiliation
Harvard Business School
PI Affiliation
Harvard Business School

Additional Trial Information

Status
In development
Start date
2019-04-01
End date
2022-04-01
Secondary IDs
Abstract
This study will shed light on the potential for digital government-to-person (G2P) payments to facilitate uptake and inclusion in digital financial services (DFS). In partnership with the Bangladeshi government, we conduct a randomized field experiment to examine the impact of a government digitization program for delivering payments to Department of Social Services transfer recipients across 16 districts. In addition, we examine the impacts of (1) a cross-randomized financial literacy training, (2) varying frequency of payments, and (3) a cross-randomized payment schedule provision to vary certainty around receiving payments.
External Link(s)

Registration Citation

Citation
Hussam, Reshma et al. 2020. "Digitizing G2P Payments in Bangladesh." AEA RCT Registry. March 18. https://doi.org/10.1257/rct.3972-4.1
Former Citation
Hussam, Reshma et al. 2020. "Digitizing G2P Payments in Bangladesh." AEA RCT Registry. March 18. https://www.socialscienceregistry.org/trials/3972/history/64557
Experimental Details

Interventions

Intervention(s)
The primary intervention, initiated by the government of Bangladesh, rolls out digital payments to a random selection of households receiving social services benefits. The control group consists of households that continue receiving payments through the pre-existing cash payment method. Additional cross-treatments test the relative impact of a financial literacy campaign, differing frequencies of payments (as determined by the government), and an advance schedule for payments.
Intervention Start Date
2019-04-01
Intervention End Date
2022-04-01

Primary Outcomes

Primary Outcomes (end points)
1. Impact of digital payments on payments infrastructure: We will examine whether guaranteed transactions extend the payments infrastructure by collecting individual-level data on access to digitized payment (confirmed receipt of funds), whether the account is active (at least one transaction in survey month), the number of transactions, and the quantity of funds in the account, as well as agent-level data on the number of accounts opened monthly, the number of clients the agent sees, and the daily volume of transactions processed.

2. Impact of digital payments on broader DFS usage: We will examine whether digital G2P payments lead to broader DFS usage by collecting individual-level data on the magnitude of formal vs informal savings and credit, recipient trust in banks and mobile banking, and the number of family and
 community members engaged in DFS, as well as agent-level data on the number of non-G2P clients serviced, the number of cash-out transactions, and the demand for credit, insurance, or new bank accounts.

3. Impact of digital payments on financial inclusion for women: We will examine whether women specifically benefit from digital G2P transfers using individual-level data on bank account access, financial literacy, number of transactions, likelihood of suffering from a consumption shock (in health, marriage, education, agriculture), bargaining power in the household, and occupational choice, each disaggregated by gender; in addition to agent-level data on the gender composition of clients and the likelihood of interacting with a female client.

4. Optimal payment design: We aim to optimize the design of Bangladeshi social support payments by examining the varied timing of payments and whether clients receive reminders or information and collecting individual-level data on the regularity of financial activity as well as persistence in activity.

5. Impact of digital payments on corruption: We will measure the impact of digization on corruption, leakage, and targeting by collecting individual-level data on whether the transfer was received and the size of transfer, how quickly the transfer was obtained (transaction time and costs), and the variance in transaction costs, as well as agent-level data on the amount received from the government (using administrative data) and amount received by intended vs unintended clients (to measure leakage and targeting).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study will involve a baseline survey and an endline survey 12 months later, permitting four rounds of digitized payments to be processed in the intervening period. The study will take place across 16 districts selected by the Bangladeshi government, with 4,000 DSS-eligible households across 122 subdistricts (approximately 33 households per subdistrict) and 2,250 agents across 122 subdistricts (approximately 18 agents per subdistrict).

The randomized experimental arms will be as follows:
Control (61 subdistricts including 2,000 households): No intervention; households continue to receive payments in cash directly from banks at the subdistrict center, according to the status quo schedule for the benefits they receive.
Treatment – Digitization program (61 subdistricts including 2,000 households): Households will have bank accounts opened and will be able to access payments through either local union digital centers (UDCs) or mobile money.
Cross-treatment I – Financial literacy campaign (1,000 households within Control and 1,000 households within Digitization Treatment): Households will receive a 30-minute training session on mobile banking. The one-on-one training will take place in the household, directly between the surveyor and the participant. The surveyor will teach the participant how to use the mobile money platform (BKash), then run three practice transfers of funds between the surveyor’s mobile phone and the participant’s.
Cross-treatment II – Frequency of payments (1,000 households within Digitization Treatment): Households will receive the same yearly total amount in regularly scheduled monthly transfers.
Cross-treatment III – Payment schedule provision (1,000 households within Control and 1,000 households within Digitization Treatment): Households will receive a brief monthly text message providing the schedule of future payments for the remainder of the year (e.g., “Your next payments will be delivered on the following dates: MM/DD/YYYY, MM/DD/YYYY, and MM/DD/YYYY.”).

Baseline and endline surveys will be administered at two levels:
1. Household-level survey: The survey will collect information on household demographics, mobile phone usage, banking usage, attitudes towards banking systems, status and experience with benefits transfers, and social agency and socioeconomic status.
2. Agent-level survey: The survey will collect data for a random sample of financial service access points (an “agent” can be a mobile banking agent, a bank branch employee, a banking correspondent, a post office worker, an MFI or a co-op employee, or any individual granted permission to transfer G2P payments).
Experimental Design Details
Randomization Method
randomization done in office by a computer
Randomization Unit
Randomization of the Digitization Treatment will take place at the subdistrict level. Randomization into cross-treatments will take place at the household level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
122 subdistricts
Sample size: planned number of observations
4,000 households and 2,250 agents
Sample size (or number of clusters) by treatment arms
Control: 2,000 households
Digitization Treatment: 2,000 households
Cross-treatment I - Financial Literacy: 2,000 households (1,000 within Control and 1,000 within Digitization Treatment)
Cross-treatment II - Frequency of Payments: 1,000 households within Digitization Treatment
Cross-treatment III - Payment Schedule Provision: 2,000 households (1,000 within Control and 1,000 within Digitization Treatment)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number

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