Increasing Financial Digitization and Inclusion in Emerging Economies: Evidence from Armenia.

Last registered on December 14, 2023

Pre-Trial

Trial Information

General Information

Title
Increasing Financial Digitization and Inclusion in Emerging Economies: Evidence from Armenia.
RCT ID
AEARCTR-0011398
Initial registration date
May 11, 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
May 17, 2023, 2:35 PM EDT

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

Last updated
December 14, 2023, 12:10 PM EST

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

Locations

Region

Primary Investigator

Affiliation
Colgate University

Other Primary Investigator(s)

PI Affiliation
Central Bank of Armenia
PI Affiliation
Central Bank of Armenia

Additional Trial Information

Status
In development
Start date
2023-06-05
End date
2025-08-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Access by individuals and businesses to beneficial and inexpensive financial services and products, also known as financial inclusion, is a critical pathway to poverty alleviation and economic growth in developing countries. While Armenia, the location of this study, has made many advances in financial inclusion over the past two decades, persistent geographic inequities between urban and rural regions mean that those outside the capital city have significantly lower levels of financial service adoption. To this point, most related programs in Armenia have focused on increasing financial inclusion through increasing financial awareness and literacy. Greater financial literacy, however, is likely a necessary but not a sufficient condition for broad financial inclusion in rural regions of Armenia. Awareness of financial products and an understanding of how they function can lead to greater demand for the product. However, even if demand exists, there can be significant constraints to greater financial inclusion. Rural residents must usually travel to larger towns to engage with the financial sector, which can potentially involve significant opportunity costs. This project thus plans to addresses this geographic constraint by taking advantage of the decreasing price of internet and internet-connected phones in Armenia, which has led to greater prevalence of these devices in rural villages. The intervention in this program focuses on training individuals in using mobile financial apps in rural villages, and using incentives to generate diffusion of this technology through the social networks of those trained. This project thus fills gaps in our knowledge both in the specific context of Armenia and in the general economics literature as to whether incentivized diffusion of mobile banking apps can lead to greater financial inclusion and positive economic outcomes. A better understanding of efficacy of this potential mechanism can allow better policy to be designed in various developing country contexts.
External Link(s)

Registration Citation

Citation
Hovanessian, Naneh, David Murphy and Aleksandr Shirkhanyan. 2023. "Increasing Financial Digitization and Inclusion in Emerging Economies: Evidence from Armenia.." AEA RCT Registry. December 14. https://doi.org/10.1257/rct.11398-2.0
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Experimental Details

Interventions

Intervention(s)
Following the baseline survey, villages will be randomly divided between the three groups. Trainers will visit households randomly selected to be trained in the two treatment groups of villages twice. On the first visit, the trainers will help the household set up and apply for a mobile banking account. During the second visit the trainers will teach the household members how to use the account. Those in relevant treatment group will be eligible to receive microrewards for use of mobile banking app. Will receive micro-payments for paying bills with app, depositing money, when someone they refereed opens an app, etc.

In the final phase, we will conduct an endline survey with all households to evaluate the impact of the program on various economic and financial outcomes. With our experimental design, we would also be able to measure whether offering incentives for mobile banking adoption and use increases the impact of the program on any of these outcomes.
Intervention (Hidden)
Access by individuals and businesses to beneficial and inexpensive financial services and products, also known as financial inclusion, is a critical pathway to poverty alleviation and economic growth in developing countries. Recent studies show that financial inclusion decreases poverty and inequality (Iqbal et al., 2020; Demir et al., 2022), increases long-run GDP per capita (Kanga et al., 2022, Nandi et al., 2022), increases diversity of non-food items in a household’s consumption set (Chakrabarty and Mukherjee, 2022), smooths consumption of preventative health expenditures and decreases child labor (Abiona and Koppensteiner, 2022) among many other positive impacts. Providing access to a formal savings account can also potentially reduce the risk of theft, increase women’s economic empowerment, and improve household welfare (Ashraf et al., 2006; Brune et al., 2016). It is therefore in the public interest for governments and organizations to encourage financial inclusion, particularly in rural and provincial regions where overall rates of engagement with financial services and levels of financial literacy are lower.

While Armenia has made many advances in financial inclusion over the past two decades, persistent geographic inequities between Yerevan, the capital city, and the regions mean that those outside the capital have significantly lower levels of financial service adoption. While the World Bank does not provide statistics by region, they report that in 2017 (the latest year statistics are available) among the poorest 40% of Armenians (who are significantly more likely to live outside Yerevan), only 34% have a bank account, 28% have borrowed from a financial institution or used a credit card, and 11% have money saved at a financial institution. However, statistics suggests that there is opportunity for greater use of digital financial products. For example, even though 85% of the poorest 40% of Armenians had a mobile phone in 2017, only 6% of this demographic have used a mobile phone or the internet to check an account balance.

The Central Bank of Armenia has identified the size of the informal economy as a key constraint to economic growth, and would like to address this through the expansion of mobile banking and electronic payment phone applications. The intervention in this program focuses on training individuals in using these mobile apps in rural villages, and using incentives to generate diffusion of this technology through the social networks of those trained. This project, to be conducted jointly with the Central Bank of Armenia, will test whether mobile banking can be adopted by a significant share of rural households, and if so, whether it increases economic outcomes, leads to greater use of electronic public services, and increases the variety of interactions with the formal financial sector. Specifically, we seek to identify whether, over a multiple year time period, households in treatment villages that received training on the mobile banking app have difference in their levels of savings, income, expenditures, remittances received/sent, loans applied for/received, entrepreneurial activity, and financial literacy compared to households in control group villages. As secondary outcomes, we are also interested in outcomes related to education and health expenditures, as well as social capital within these villages.

This will be an experimental study (RCT). There will be three treatment groups: 1) a pure control group, 2) villages in which a random subset of households is trained in mobile banking, and 3) villages in which a random subset of households is trained in mobile banking and who receive incentives to use the banking app and to teach others to use it.

Initially, we will collect a baseline sample that will survey a random selection of 1000 households within 71 eligible villages several regions of the country. The baseline survey will determine current exposure to banking and financial services, access to ICT infrastructure including smartphones, and other household and demographic characteristics, employment and agricultural production, travel, assets, finances, and money transfers. We will also ask questions to garner information related to the household village-level social network and conduct a test of financial literacy.

Following the baseline survey, villages will be randomly divided between the three groups. Trainers will visit households randomly selected to be trained in the two treatment groups of villages twice. On the first visit, the trainers will help the household set up and apply for a mobile banking account. During the second visit the trainers will teach the household members how to use the account. We will then work with our banking partner to provide micro-rewards for households that share and use the mobile banking app (e.g. when friend opens an account, paying bills with app, sending/receiving remittances from abroad, etc.).

In the final phase (year 2025), we will conduct an endline survey with all households to evaluate the impact of the program on various economic and financial outcomes. With our experimental design, we would also be able to measure whether offering incentives for mobile banking adoption and use increases the impact of the program on any of these outcomes.

This project thus fills gaps in our knowledge in the general economics literature as to whether incentivized diffusion of mobile banking apps can lead to greater financial inclusion and positive economic outcomes. A better understanding of efficacy of this potential mechanism can allow better policy to be designed in various developing country contexts.
Intervention Start Date
2023-09-01
Intervention End Date
2024-12-31

Primary Outcomes

Primary Outcomes (end points)
Mobile bank account adoption, mobile bank account usage (e.g. paying bills, receiving/sending funds, depositing funds, applying for/receiving loans, saving money), financial literacy, level of savings, expenditures, income, entrepreneurial activity.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Education and health expenditures, level of social capital, network centrality, relationship ties.
Secondary Outcomes (explanation)
Social capital to be measured by quality/strength of relationships between individuals in the village (whether trust each other, share information with each other, etc). Network centrality to be measured using statistics such as closeness, degree, betweenness, etc.

Experimental Design

Experimental Design
This will be an experimental study (RCT). There will be three treatment groups: 1) a pure control group, 2) villages in which a random subset of households is trained in mobile banking, and 3) villages in which a random subset of households is trained in mobile banking and who receive incentives to use the banking app and to teach others to use it.
Experimental Design Details
Following the baseline survey (summer/fall 2023), villages will be randomly divided between three groups: 1) a pure control group, 2) villages in which a random subset of households are trained in mobile banking, and 3) villages in which a random subset of households are trained in mobile banking and who receive incentives to use the banking app and to teach others to use it. Between May and July 2024, trainers will visit households randomly selected to be trained in these latter two groups of villages twice. On the first visit, the trainers will help the household set up and apply for a mobile banking account. During the second visit the trainers will teach the household members how to use the account and discuss its capabilities.

Villages in the third group will also be incentivized to install, use, and disseminate the technology to others in their village. Small amounts of funds will be deposited into a household’s mobile banking account when the app is installed and account activated. In addition, a household will receive funds into their account when another household in the village installs and activates a mobile banking account and indicates they were taught about the app from the first household. Other methods of receiving incentives in this treatment group include a “cash back” incentive, in which a small percentage of money is added to their account when they pay for goods using their mobile app or when they transfer funds to another user of the mobile app.
Randomization Method
The proposal calls for a several-stage randomization process, with proposed percentage allocations determined through simulations:
1. Villages are randomly selected to be included in the program. Using 2011 census data, we include villages from seven statistical districts: Dilijan (Tavush), Ijevan (Tavush), Tumanyan (Lori), and Spitak (Lori). We then omit all villages with fewer than 275 individuals (according to the 2011 census), greater than 1400 individuals, or villages solely comprised of an ethnic minority (e.g. “Malakan”). This leads to a pool of 41 villages.
2. From each included village, 20% of households are randomly selected to be included in the program. Conditions for inclusion are that the household includes at least one permanent member who is younger than 55 (those aged 55 and older may be too unfamiliar with ICT to participate).
3. We randomize villages into three groups:
a. Group A: Apx. 30% into “Pure Control” villages that receive no aspects of the program in any form.
b. Group B: Apx. 30% placed into “Training” villages in which a random sample of households will receive training and assistance in installing and using the mobile banking application, and
c. Group C: Apx. 40% placed into “Incentive and training” villages, in which a random sample of households will receive the same training as “training” villages, but where adoptees/users of the app will receive incentive payment(s).
4. We randomize households in village groups “B” and “C” into two groups:
a. Training households: 20% of the randomly selected households from step 2 are placed into group invited for training and assistance for the mobile app.
b. Spillover households: 80% of the randomly selected households from step 2 are placed into a “spillover” group.
Randomization Unit
Villages to be randomly assigned to training and incentive, training, and control. Randomly selected households in the training and training and incentive villages to be randomly assigned to be given training.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
41 villages
Sample size: planned number of observations
1000 to 1200 households
Sample size (or number of clusters) by treatment arms
Approximately 12 villages in pure control, 12 villages in training group, and 17 villages in training and incentive group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Colgate University
IRB Approval Date
2023-03-09
IRB Approval Number
ER-S23-17
Analysis Plan

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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