E - Macroeconomics and Monetary Economics

• The Bank of Canada COVID‑19 stringency index: measuring policy response across provinces

  Staff Analytical Note 2021-1 Calista Cheung, Jerome Lyons, Bethany Madsen, Sarah Miller, Saarah Sheikh

  We construct an index that systematically measures and tracks the stringency of government policy responses to the COVID-19 pandemic across Canadian provinces. Researchers can use this stringency index to analyze how the pandemic is affecting the economy.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Coronavirus disease (COVID-19), Domestic demand and components, Recent economic and financial developments, Regional economic developments JEL Code(s): E, E2, E20, H, H7, I, I1, I18, R, R1

• COVID-19 Crisis: Lessons Learned for Future Policy Research

  Staff Discussion Paper 2021-2 Jean-Sébastien Fontaine, Corey Garriott, Jesse Johal, Jessica Lee, Andreas Uthemann

  One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Coronavirus disease (COVID-19), Financial markets, Monetary policy JEL Code(s): D, D4, D47, E, E4, E41, E5, G, G0, G01, G1, G14, G2, G20, G21, G23

• 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