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...
As part of training of Indian senior bankers, the National Institute of Bank Management located in Pune, India, invited Bob Chakravorti to teach three courses. This course is on the evolution of FinTech in India and beyond. Specifically, the presentation focuses on how FinTechs provide greater access to payments, lending...
In his testimony, Bob Chakravorti elaborated on the following areas: first, the state of the economic literature on the costs and benefits of capital regulation; second, the enormous changes that we have seen post-crisis in the bank capital regulatory landscape and the ensuing changes to the quality and quantity 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...