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...
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...
In this book chapter, Chakravorti considers linkages between consumer payments and credit. Payors, those that make payments, and payees, those that receive payments, choose among various payment instruments based on their preferences toward convenience, risk, and cost. According to a recent U.S. survey, the usage of payment cards is increasing...