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...
In this report, Biasi and Chakravorti study the rapidly growing although extremely volatile initial coin offering (ICO) market. We identify which traditional markets are being disrupted by ICOs. We discuss the necessary infrastructure needed to support this market. We analyze market dynamics in terms of volatility, global presence, the impact...
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...
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...
Over the last decade, consumers have tripled their use of credit cards as more merchants have increased their acceptance of them. This increase suggests that incentives in today’s marketplace favor greater credit card use by consumers and acceptance by merchants. In this paper, Chakravorti and Shah study the set of...