Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models Staff working paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods
Adoption of a New Payment Method: Theory and Experimental Evidence Staff working paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C35, C8, C83, C9, C92, E, E4, E41 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards Staff working paper 2017-8 Kim Huynh, Philipp Schmidt-Dengler, Gregor W. Smith, Angelika Welte The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C35, D, D1, D14, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Digital assets and fintech