In this PLoS ONE article, Allen, Carbo, Chakravorti, Rodriguez, and Ardic use random forest estimation to 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...
The adoption of electronic payments and their frequent use is thought of as a first step for broader financial use for traditionally unbanked individuals and merchants. The purpose of this report is to analyze the design, implementation, and efficacy of many incentives implemented by different types of stakeholders around the...
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...