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...
Carbó, Chakravorti, and Rodriguez study the impact of lowering interchange fees on consumer and merchant adoption and usage along with bank revenues during a ten-year period in Spain using bank-level data. Using cutting-edge econometric techniques, they are able to test two-sided market model predictions about payment card pricing policies. They...
While payment card usage has increased dramatically, the stock of outstanding currency has not declined as rapidly. Amromin and Chakravorti analyze changes in cash demand for 13 advanced economies from 1988 to 2003 by separating cash into three denomination categories to disentangle its store of wealth and payment functions. Defining...
Chakravorti and Emmons model side payments in a competitive credit‐card market. If competitive retailers absorb the cost of accepting credit cards by charging a higher goods price to everyone, then someone must subsidize convenience users of credit cards to prevent them from defecting to merchants who do not accept cards...
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...