Price Transparency in the Branchless Banking Market: Evidence from Branchless Banking Agents in Indonesia

Last registered on July 10, 2023

Pre-Trial

Trial Information

General Information

Title
Price Transparency in the Branchless Banking Market: Evidence from Branchless Banking Agents in Indonesia
RCT ID
AEARCTR-0011714
Initial registration date
July 03, 2023

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
July 10, 2023, 9:16 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Universitat Pompeu Fabra

Other Primary Investigator(s)

PI Affiliation
World Bank
PI Affiliation
Northwestern University and Bocconi University
PI Affiliation
Australian National University
PI Affiliation
London School of Economics

Additional Trial Information

Status
In development
Start date
2023-07-10
End date
2024-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
To accelerate financial inclusion, in 2014 the Government of Indonesia adopted a law that establishes banking services without the need for branch offices: branchless banking agents. Since its launch, the number of agents has been increasing rapidly and they continue to play an important role in expanding financial services specifically to the country’s largely unbanked population. While the rapid expansion of branchless banking agents has made it possible for millions of Indonesians to have access to financial services, the market is often characterized by imperfect information about official transaction prices, overcharging, and customer mistrust. Economic theory makes ambiguous predictions about the effect of increased competition on market transparency. On the one hand, competition incentivizes agents to become more transparent in an effort to win their clients' trust and grow their business. On the other hand, competition makes financial agents more reluctant to be transparent to preserve market power and the ability to price discriminate. Working with one of the country’s largest banks, we conduct an experiment to test whether higher expected levels of competition lead to a higher willingness to disclose the bank’s official price list (price transparency), or alternatively, whether shrouding can be sustained at different levels of competition.
External Link(s)

Registration Citation

Citation
Deserranno, Erika et al. 2023. "Price Transparency in the Branchless Banking Market: Evidence from Branchless Banking Agents in Indonesia." AEA RCT Registry. July 10. https://doi.org/10.1257/rct.11714-1.0
Experimental Details

Interventions

Intervention(s)
The intervention will involve provision of information on the predicted level of future competition for branchless banking agents in a given location. This information will be presented during on-line survey to agents (right after the administration of baseline survey).
Intervention Start Date
2023-07-10
Intervention End Date
2024-12-31

Primary Outcomes

Primary Outcomes (end points)
Our main outcome variable aims at measuring agents’ willingness to disclose information about the bank’s official prices to their customers.
Primary Outcomes (explanation)
To measure our main outcome variable (i.e., agents’ willingness to disclose the bank’s official price list to customers), after the administration of treatment, we will present agents with an incentivized elicitation exercise in which all participants of the experiment will be presented with a choice between two different marketing plans that the bank is planning to implement. To incentivize the choice, each plan will have a different cost and every agent will receive an endowment of IDR25,000 which can be used to buy one of these plans (the endowment will be provided on top of the compensation given for responding to the survey). The plans differ in whether information about the bank’s official prices will be disclosed directly to the agent’s customers or sent to the agent, which preserves the agent’s ability to shroud prices and engage in price discrimination. The two plans are described below:
Plan A. The agent will receive a WhatsApp message from the bank containing the bank’s official price list for the most widely used types of branchless banking transactions. Agents will be told that they are free to forward this message to clients at their discretion. The cost of this plan will be set at IDR25,000.
Plan B. The bank will directly send a WhatsApp message to all of the agent’s clients containing information about the bank’s official price list for the most widely used types of branchless banking transactions. The cost of this plan will be set at IDR20,000 (therefore, the agent gets to keep IDR5,000 from the endowment).
After the agent makes a choice, we will follow through and implement the plan chosen. Note that plan A allows the agent to keep the option of shrouding information and to price discriminate between clients. Agents who have a preference for keeping this option will have to take the costly action of selecting the most expensive plan. Plan B instead is equivalent to full transparency, and will not require agents to pay a premium. We have piloted this survey experiment to ensure that agents understand the differences between the two options and to verify that there is sufficient take-up of both plans under the relative prices in the current survey. The results from the choice experiment will allow us to determine whether higher expected levels of competition lead to a higher willingness to disclose the bank’s official price list (price transparency), or alternatively, whether shrouding can be sustained at different levels of competition.
Before the treatment, we will also elicit agent’s beliefs about their expected levels of competition in the near future. Right after the treatment, we will elicit their posteriors. This information will allow us to test the effectiveness of the information treatment.

Secondary Outcomes

Secondary Outcomes (end points)
Using surveys with the agent’s clients, we will also be able to further confirm how the agent’s actions change after they have made their choices. In particular, the survey will include questions on whether the agent posts prices in her shop, and whether she forwarded the WhatsApp message to clients. We will additionally ask about the client’s trust in the agent and observe in the administrative data the frequency with which clients make transactions. Note, however, that this analysis will not be causal, given that perceptions will be influenced by the agent’s choice in the survey experiment, which in turn is determined by treatment assignment.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
In our experiment, we will explore how an increase in expected competition affects the willingness to become more transparent. We will introduce experimental variation at the individual level in the expected level of competition by informing randomly selected agents in a treatment group about the predicted level of future competition in their local area. The remaining agents in the sample will be assigned to the control group and receive a placebo message that is orthogonal to the intervention.
The risk of spillovers is minimized by the fact that agents typically do not communicate with each other and the bank does not organize meetings or trainings where agents meet each other.
Experimental Design Details
Not available
Randomization Method
Randomization will be done through STATA.
Randomization Unit
Individual agents.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
9,500 branchless banking agents (expected response rate: 25-30%)
Sample size: planned number of observations
9,500 branchless banking agents (expected response rate: 25-30%)
Sample size (or number of clusters) by treatment arms
Control group: 4,000 agents
Treatment group (high competition): 4,000 agents
Treatment group (low competition): 1,500 agents
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
To ensure the soundness of our experimental design, we have conducted a series of power calculations to identify the Minimum Detectable Effect sizes for our experiment. The calculations are made under the assumptions that: 1) there is one treatment group, 2) there is one control group, 3) there is the same number of agents in each group, 4) size is set at 5% and power is set at 80%. The sample size of the experiment will depend on the number of agents responding to the survey (out of a total of 9,500 agents in the experimental site). Although the response rate is expected to be around 25-30%, even in a scenario with a 17.5% response rate, the MDE is of 0.09 standard deviations.
IRB

Institutional Review Boards (IRBs)

IRB Name
The Research Ethics Committee (REC), London School of Economics
IRB Approval Date
2023-03-31
IRB Approval Number
172623