Making Change: women’s employment in Bangladesh’s mobile money sector

Mobile money has spurred improvements in household welfare, but its use among women lags behind that of men. This gap is especially pronounced in Bangladesh, where in 2021 only 20 percent of women, compared to 38 percent of men, had a mobile money account [1] , and where less than one percent of mobile money agents were women [2].

Bangladesh also has low levels of female labor force participation and high levels of gender discrimination – labor force participation among women in Bangladesh is only 37 percent [3]. Moreover, employers, who are typically male, express strong reservations about hiring women, with 45 percent of business managers expressing concern that female employees would disrupt the work environment [4]. The majority of firms that are willing to hire women operate in the ready-made garments sector, which requires migration to Dhaka or Chittagong, where factories are concentrated. Heath and Mobarak (2015) found that 78 percent of women who worked for pay around Dhaka were employed in the garment sector and that 60-70 percent of working women were migrants [5]. In contrast, there are few local employment opportunities for women with flexible schedules that allow women with children or other responsibilities to work in their communities. Employment as mobile money agents in local shops with flexible hours, rather than as shift workers in a rigid factory, could provide women balance. Simultaneously, the prevalence of female agents could make mobile money more accessible to female customers, who are often reluctant to transact with male agents.

To learn about the effects of employing women as mobile money agents, we launched an experiment with bKash, the largest mobile money operator in Bangladesh. We recruited owners of mobile money businesses who were interested in expanding operations by adding an employee to help serve mobile money customers. We asked these business owners to identify two women and two men whom they knew and would be willing to hire as employees in their shops. We randomly selected a fraction of these business owners to receive a subsidy to hire a particular employee from the list they provided. Some business owners received a subsidy to hire one of the men they nominated, others to hire one of the women they nominated and some who neither received a subsidy nor were told to hire an employee.

This design allows us to make two types of comparisons: between shops that were randomly assigned to hire men, compared to those that were randomly assigned to hire women (or to not hire at all); and between men and women who were randomly selected to receive jobs, and those who were not. We can estimate the effects of having women as employees, compared to having men as employees, on outcomes including use of mobile money by women customers, business profits, and shop owners’ attitudes about the skills and productivity of women as employees. We can also estimate the effects of having a job on workers’ income, skill accumulation, and household empowerment, and speak to the differential effects of employment for men and women.

This project is still in its early days! The launch itself was a challenge – fieldwork initially began in 2019, was delayed due to COVID-19, and further delayed due to management changes with our in-country research partner. Data collection was finally launched in 2023. These delays meant that some of the business owners who originally agreed to participate were no longer interested four years later, and some of the candidate employees identified in 2019 were no longer available. However, in October 2023, we launched the first wave of the study, with 102 shops and 408 candidate employees. More than 80 percent of employees were randomly selected for jobs accepted, with take-up by women matching that of men. Since then, we have monitored the shops monthly and found the vast majority of employees – both women and men – working as scheduled! We will soon launch the second wave of the study, including another 200 shops. While it is too soon to be able to report effects on business outcomes, attitudes toward women’s labor force participation, access to mobile money, or household empowerment, we are encouraged by the adherence of both agents and employees to the design. We are equally excited by the idea that dozens of women are now working in the mobile money sector in Bangladesh – a small but potentially important step for the sector!

[1]  Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.
[2] Barooah, Prabir, et al. “Closing the Gender Gap: Opportunities for the Women’s Mobile Financial Services Market in Bangladesh.” (2018).
[3]  The World Bank, World Development Indicators (2024). Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate).  Retrieved from https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS?locations=BD
[4]  Kotikula, Aphichoke, Afra Chowdhury, and Asif Islam. Women disrupting the workplace: Employer bias against hiring women in South Asia. mimeo, 2020.
[5] Heath, Rachel, and A. Mushfiq Mobarak. “Manufacturing growth and the lives of Bangladeshi women.” Journal of development Economics 115 (2015): 1-15.

Thanking our Peer Reviewers for their Contributions to the WEE-Connect and WEE-DiFine Review Process

This year BRAC Institute of Governance and Development launched back-to-back requests for proposals for the WEE-Connect and WEE-DiFine Initiatives, respectively. We received an impressive number of submissions to each! Peer reviews are the building blocks of the proposal review process and our reviewers have been nothing short of outstanding in lending their important insights and time to the success of our review process. As a gesture of heartfelt gratitude, here’s a list of the amazing peer reviewers who supported our 2024 review process!

Lucy Kaaria, HOPAWI Management Consulting Limited

Garima Siwach, American Institutes for Research

Lisa Ho, MIT

Lore Vandewalle, Geneva Graduate Institute

Jean Nahrae Lee, World Bank

Michael Carter, University of California, Davis

Nina Roussille,MIT

Syed Mortuza Asif Ehsan, North South University

Raisa Sara, Sam Houston State University

Carlotta Nani, Graduate Geneva Institute

Diego Ubfal, World Bank

Shreyasee Das, Temple University

Suzana Brown, SUNY Korea

Jenna Grzeslo, BRAC International

Simon Quinn, Imperial College London

The Linh Bao Nguyen (Jacqueline), University of Maryland

Berber Kramer, IFPRI

Agha Ali Akram, Mathematica Policy Research

Aubryn Sidle, Cornell, Director of Undergraduate Studies

Caroline Wainaina, APHRC and Utrecht University

Victor Kolo, IWFI

Mahima Vasishth, Laboratory for Effective Anti-Poverty Policies, Bocconi University

Hashibul Hassan, Jagannath University

Nishith Prakash, Northeastern University

Pushkar Maitra, Monash University

Andrea Guariso, University of Milan-Bicocca

Francesco Cecchi, Wageningen University

Jonas Hjort, University College London and University of Oslo

Gaurav Chiplunkar, University of Virginia

Madeline Duhon, University of California, Berkeley

Laura Boudreau, Columbia Business

Juli Huang, University of Edinburgh

Camellia Suborna, ICDDR,B

Mahreen Mahmud, University of Exeter Business School

Joost de Laat, Utrecht University

Ananta Neelim, University of Tasmania

Shreya Bhattacharya, William and Mary

Lindsey K. Novak, Reeds College

Revathy Suryanarayana, Cornell University

Menno Pradhan, Vrije Universiteit Amsterdam

Kibrom A. Abay, IFPRI

Shilpa Aggarwal, World Bank

Simone Schaner, University of Southern California

Maulik Jagnani, Tufts University

Emily Breza, Harvard University

Wendy Janssens, Vrije Universiteit Amsterdam

Ferdous Jahan, World Bank

Sakib Mahmood, BIGD

Apoorv Gupta, Dartmouth College

Cristina Clerici, University of Stockholm

Emma Riley, University of Michigan

Andrew Peter Brudevold-Newman, World Bank

Ashish Shenoy, UC Davis

Anahit Tevosyan, FINCA International

Mahreen Khan, University of Oxford

Nina Buchmann, Standford University

Muhammad Meki, University of Oxford

Catherine Porter, Lancaster University

Jonathan Fu, University of Zurich

Manuela Angelucci, University of Texas at Austin

Anusuya Sivaram, University of Maryland

Ariel Zucker, University of California, Santa Cruz

Henry Telli, IGC

Abu Siddique, Royal Holloway University of London

Yusuf Neggers, University of Michigan

Vaidehi Krishnan, Mercy Corps

PS Dalton , Tilburg University

Tanu Kumar, Claremont Graduate University

Jason Kerwin, University of Minnesota

Tara Bedi, Trinity College Dublin

Laura Zimmermann, University of Georgia

Sohela Nazneen, IDS

Nudrat Faria Shreya, PDRI-DevLab, University of Pennsylvania

Laura Derksen, University of Toronto

Tarana Chauhan, Cornell University

Salauddin Tauseef, IFPRI

Carinne Brody, Touro University

Moogdho Mahzab, Stanford University

Nicola Banks, University of Manchester