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Carlos Arango

28 October 2011
WORKING PAPER SERIES - No. 1386
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Abstract
This paper uses discrete-choice models to quantify the role of consumer socio-economic characteristics, payment instrument attributes, and transaction features on the probability of using cash, debit card, or credit card at the point-of-sale. We use the Bank of Canada 2009 Method of Payment Survey, a two-part survey among adult Canadians containing a detailed questionnaire and a three-day shopping diary. We find that cash is still used intensively at low value transactions due to speed, merchant acceptance, and low costs. Debit and credit cards are used more frequently for higher transaction values where safety, record keeping, the ability to delay payment and credit card rewards gain prominence. We present estimates of the elasticity of using a credit card with respect to credit card rewards. Reward elasticities are a key element in understanding the impact of retail payment pricing regulation on consumer payment instrument usage and welfare.
JEL Code
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
C35 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Discrete Regression and Qualitative Choice Models, Discrete Regressors, Proportions
C83 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Survey Methods, Sampling Methods
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Conference on the future of retail payments: opportunities and challenges
13 January 2016
WORKING PAPER SERIES - No. 1874
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Abstract
Despite various payment innovations, today, cash is still heavily used to pay for low-value purchases. This paper proposes a simulation model based on two optimal cash management and payment policies in the payments economics literature to explain cash usage. First, cash is preferred to other payment instruments whenever consumers have enough balances at hand. Second, it is optimal for consumers to hold a stock of cash for precautionary reasons. Exploiting survey payment diaries from Canada, France, Germany and the Netherlands, the results of the simulations show that both optimal policies are well suited to understand the high shares of low-value cash payments in Canada, France and Germany. Yet, they do not perform as well in the case of the Netherlands, overestimating the share of low-value cash payments. We discuss how the differences in payment markets across countries may explain the limitations of the two optimal policies.
JEL Code
C61 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Optimization Techniques, Programming Models, Dynamic Analysis
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
E47 : Macroeconomics and Monetary Economics→Money and Interest Rates→Forecasting and Simulation: Models and Applications