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 proportion of retail, non-cash payments made electronically in the U.S. grew from 15% in 1979 to 40% in 2000. A recent Chicago Fed conference addressed the important question of whether today's payment networks can adequately support emerging payment technologies.
In this article, Chakravorti argues that consumers’ use of newer, less expensive payment alternatives depends on the incentives merchants and payment instrument providers offer, along with consumers’ comfort level and faith in the instruments. Once consumers are comfortable with the newer electronic alternatives, cost of usage, convenience, and frequent-use incentives...