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...
In this keynote presentation, Chakravorti discusses how FinTech and big tech firms are increasing competition in the payments space. Entry into payments, often allows these non-bank providers the ability to offer loans to underserved consumers and small merchants. In the rest of the talk, Chakravorti discusses the effectiveness of certain...
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...
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...
In this article, Chakravorti and McHugh address why consumers, merchants, and financial institutions are reluctant to embrace electronic payments even though electronic payment networks, such as the credit card and automated clearinghouse (ACH) networks, have existed for more than 25 years. While most Internet-based transactions are primarily processed via credit...
Chakravorti and Roson construct a model to study competing payment networks, where networks offer differentiated products in terms of benefits to consumers and merchants. We study market equilibria for a variety of market structures: duopolistic competition and cartel, symmetric and asymmetric networks, and alternative assumptions about consumer preferences. We find...