Abstract
A large body of economics research has examined the role of price transparency, evaluating a range of policies implemented across different countries and markets. Evidence suggests that more transparent markets can benefit both customers and agents by disciplining firms’ behavior, increase trust among counterparties, and generally improving market efficiency.
This raises a natural question: if transparency can benefit consumers, and to some extent firms, why don’t market forces alone lead agents to be more transparent? Several policy tools have been proposed to address this gap — including audits (Naritomi 2019), disrupting collusive norms (Banerjee, Frischer, Karlan, Lowe, and Roth 2023), promoting competition (Bergquist and Dirnstein 2020), and increasing reputational costs for opaque behavior (Annan 2024) — with the goal of shifting the market from a low-transparency equilibrium to a more transparent one. Lack of transparency is especially relevant, if not the defining feature, in the market for digital financial services (DFS) in developing countries. In these markets consumers often face hidden fees and complex pricing. Mobile money, in particular, is marked by shrouded attributes, opaque pricing, and low financial literacy, making it an ideal setting to study transparency-enhancing interventions.
This study seeks to understand how to incentivize mobile money agents to share information with customers through displaying official MTN mobile money tariffs. We test whether financial incentives, competition, or reputational motivations increase agents’ willingness to engage in transparent practices, using a randomized controlled trial (RCT) across 175 rural communities across Ghana. The project includes three treatments designed to foster competition for transparency among mobile money agents in eastern Ghana. Agents in the treatment arms receive tariff posters that accurately display transaction fees. Among those offered the posters, we test three types of incentives to actually display them: (1) financial rewards, (2) competitive pressure from neighboring agents, and (3) reputational incentives from customer feedback.