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...
Bolt and Chakravorti study the ability of banks and merchants to influence the consumer's payment instrument choice. Consumers participate in payment card networks to insure themselves against three types of shocks - income, theft, and their merchant match. Merchants choose which payment instruments to accept based on their production costs...
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...
Chakravorti studies systemic risk in multilateral net settlement systems is investigated using a four-period model. The model focuses on the tradeoff between systemic risk and the cost of interbank transfers along with the importance of the overnight money markets that were a key factor in the most recent financial crisis...