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...
The provision of retail payment services is complex with many participants engaging in a series of interrelated bilateral transactions and subject to large economies of scale and scope along with strong adoption, usage and network externalities. This makes sound public policy difficult. We focus on three types of market interventions...