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 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...
Chakravorti and To construct a two-period model to study the interactions among consumers, merchants, and a card issuer. The model yields the following results. First, if the issuer's cost of funds is not too high and the merchant's profit margin is sufficiently high, in every equilibrium of our model the...
Chakravorti and Jankowski summarize the 2005 Chicago Payments conference. The migration to more efficient payment mechanisms is affected by innovations, incentives, and regulations. While advances in technology have yielded numerous payment method alternatives, many have not been widely adopted. A Chicago Fed conference explored why certain payment innovations have been...
Chakravorti studies systemic risk in multilateral net settlement systems is investigated using a four-period model. The model focuses on the tradeoff between systemic risk and the cost of interbank transfers along with the importance of the overnight money markets that were a key factor in the most recent financial crisis...