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...
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...
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...
Baumann, Chakravorti, and Shaaya identify and summarize the recent academic and industry literature on the benefits of large banks from the perspective of economies of scale and scope along with the benefits of a large, diverse set of products and services provided by a large bank. Second, they explore how...
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...