Using random forest estimation, we identify 14 key predictors out of 190 variables with the largest predictive power for MSMR adoption and usage of digital payments. Using conditional inference trees, we study the importance of sequencing and interactions of various factors such as public sector initiatives, technological advancements, and private...
The provision of retail payment services is complex with many participants engaging in a series of interrelated bilateral transactions and subject to large economies of scale and scope along with strong adoption, usage and network externalities. This makes sound public policy difficult. We focus on three types of market interventions...
Chakravorti and Emmons model side payments in a competitive credit‐card market. If competitive retailers absorb the cost of accepting credit cards by charging a higher goods price to everyone, then someone must subsidize convenience users of credit cards to prevent them from defecting to merchants who do not accept cards...
Over the last decade, consumers have tripled their use of credit cards as more merchants have increased their acceptance of them. This increase suggests that incentives in today’s marketplace favor greater credit card use by consumers and acceptance by merchants. In this paper, Chakravorti and Shah study the set of...