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...
The Mexican securities clearance and settlement system is ahead of many markets in terms of having one of the shortest settlement periods. However, cross-border transactions—such as those involving American Depositary Receipts—have tended to be associated with a greater number of settlement fails than purely domestic transactions because the U.S. and...