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...
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...
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...