Distributional Effects of Payment Card Pricing and Merchant Cost Pass-through in Canada and the United States Staff Working Paper 2021-8 Marie-Hélène Felt, Fumiko Hayashi, Joanna Stavins, Angelika Welte Although credit cards are more expensive for merchants to accept than cash or debit cards, merchants typically pass through their costs evenly to all customers. Along with consumer card rewards and banking fees, this creates cross-subsidies between payment methods. Because higher-income individuals tend to use credit cards more than those with lower incomes, our results indicate that these cross-subsidies might lead to regressive distributional effects. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Financial institutions, Financial services, Market structure and pricing, Payment clearing and settlement systems JEL Code(s): D, D1, D12, D2, D23, D3, D31, E, E4, E42, G, G2, G21, L, L8, L81
Estimating Policy Functions in Payments Systems Using Reinforcement Learning Staff Working Paper 2021-7 Pablo S. Castro, Ajit Desai, Han Du, Rodney J. Garratt, Francisco Rivadeneyra We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information. Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Financial institutions, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58
Eggs in One Basket: Security and Convenience of Digital Currencies Staff Working Paper 2021-6 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Digital currencies and fintech, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E42, E5, E51, E58
Networking the Yield Curve: Implications for Monetary Policy Staff Working Paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Interest rates, Monetary policy implementation JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52
Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff Working Paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52
Consumer Credit with Over-optimistic Borrowers Staff Working Paper 2020-57 Florian Exler, Igor Livshits, James (Jim) C. MacGee, Michèle Tertilt When lenders cannot directly identify behavioural and rational borrowers, they use type scoring to track the likelihood of a borrower’s type. This leads to the partial pooling of borrowers, which results in rational borrowers subsidizing borrowing costs for behavioural borrowers. This, in turn, reduces the effectiveness of regulatory policies that target mistakes by behavioural borrowers. Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Credit risk management, Financial system regulation and policies JEL Code(s): E, E2, E21, E4, E49, G, G1, G18, K, K3, K35
Losing Contact: The Impact of Contactless Payments on Cash Usage Staff Working Paper 2020-56 Marie-Hélène Felt Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41
Safe Payments Staff Working Paper 2020-53 Jonathan Chiu, Mohammad Davoodalhosseini, Janet Hua Jiang, Yu Zhu In a cashless economy, would the private sector invest in the optimal level of safety in a deposit-based payment system? In general, because of externalities, the answer is no. While the private sector could over- or under-invest in safety, the government can use taxes or subsidies to correct private incentives. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Digital currencies and fintech, Financial institutions, Payment clearing and settlement systems JEL Code(s): E, E4, E42, E5, E50, G, G2, G21
2020 US Neutral Rate Assessment Staff Discussion Paper 2020-12 James Bootsma, Thomas J. Carter, Xin Scott Chen, Christopher Hajzler, Argyn Toktamyssov This paper presents Bank of Canada staff’s current assessment of the US neutral rate, along with a newly developed set of models on which that assessment is based. The overall assessment is that the US neutral rate currently lies in a range of 1.75 to 2.75 percent. Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Interest rates, Monetary policy JEL Code(s): E, E4, E40, E43, E5, E50, E52, E58, F, F4, F41
Optimal Quantitative Easing in a Monetary Union Staff Working Paper 2020-49 Serdar Kabaca, Renske Maas, Kostas Mavromatis, Romanos Priftis How should a central bank conduct quantitative easing (QE) in a monetary union when regions differ in their size and portfolio characteristics? Optimal QE policy suggests allocating greater purchases from the region that faces stronger portfolio frictions, and not necessarily according to each region’s size. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models, Monetary policy JEL Code(s): E, E4, E43, E5, E52, E58