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...
Payment cards continue to replace cash and checks in advanced economies. Along with the growth of payment card transactions has come greater scrutiny by public authorities of certain payment network rules along with the level of certain fees. Chakravorti reviews the growing payment card literature and discusses the impact of...
Using a unique administrative level dataset from a large and diverse U.S. financial institution, Agarwal, Chakravorti, and Lunn test the impact of rewards on credit card spending and debt. Specifically, we study the impact of cash-back rewards on individuals before and during their enrollment in the program. We find that...
Chakravorti and Roson construct a model to study competing payment networks, where networks offer differentiated products in terms of benefits to consumers and merchants. We study market equilibria for a variety of market structures: duopolistic competition and cartel, symmetric and asymmetric networks, and alternative assumptions about consumer preferences. We find...
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...