The Heterogeneous Effects of COVID-19 on Canadian Household Consumption, Debt and Savings Staff working paper 2020-51 James (Jim) C. MacGee, Thomas Michael Pugh, Kurt See The impact of COVID-19 on Canadian households’ debt and unplanned savings varies by household income. Low-income and high-income households accrued unplanned savings, while middle-income households tended to accumulate more debt. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E24, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting
An Empirical Analysis of Bill Payment Choices Staff working paper 2021-23 Anneke Kosse How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D9, G, G2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
What Drives Interbank Loans? Evidence from Canada Staff working paper 2018-5 Narayan Bulusu, Pierre Guérin We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, E, E4, E43, G, G2, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy framework and transmission
Macroeconomic Predictions Using Payments Data and Machine Learning Staff working paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments
Information Sharing and Bargaining in Buyer-Seller Networks Staff working paper 2016-63 Sofia Priazhkina, Frank H. Page This paper presents a model of strategic buyer-seller networks with information exchange between sellers. Prior to engaging in bargaining with buyers, sellers can share access to buyers for a negotiated transfer. We study how this information exchange affects overall market prices, volumes and welfare, given different initial market conditions and information sharing rules. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C71, C78, D, D2, D21, D4, D43, D8, D85, L, L1, L13 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Potential output in Canada: 2025 assessment Staff analytical note 2025-14 Selam Abraham, Dany Brouillette, Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Mark Kim, Temel Taskin We explore two scenarios for potential output growth to gain insights into the economic consequences associated with different possible trade policies. Scenario 1 includes limited US tariffs on Canadian exports. Scenario 2 adds a permanent, broad-based 25% increase in US tariffs on imports from all countries excluding Canada and Mexico. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Climate Variability and International Trade Staff working paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C5, F, F1, F14, F18, Q, Q5, Q54 Research Theme(s): Structural challenges, Climate change, International trade, finance and competitiveness
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 JEL Code(s): E, E4, E42, E5, E51, E58 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Optimal Interbank Regulation Staff working paper 2017-48 Thomas J. Carter Recent years have seen renewed interest in the regulation of interbank markets. A review of the literature in this area identifies two gaps: first, the literature has tended to make ad hoc assumptions about the interbank contract space, which makes it difficult to generate convincing policy prescriptions; second, the literature has tended to focus on ex-post interventions that kick in only after an interbank disruption has come underway (e.g., open-market operations, lender-of-last-resort interventions, bail-outs), rather than ex-ante prudential policies. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G2, G20 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight
May 13, 1997 Capacity constraints, price adjustment, and monetary policy Bank of Canada Review - Spring 1997 Tiff Macklem The short-run Phillips curve describes a positive short-run relationship between the level of economic activity and inflation. When the level of demand in the economy as a whole runs ahead of the level of output that the economy can supply in the short run, price pressures increase and inflation rises. This article reviews the origins of the short-run Phillips curve with particular emphasis on the long-standing idea that the shape of this curve may be non-linear, with inflation becoming more sensitive to changes in output when the cycle of economic activity is high than when it is low. This type of non-linearity in the short-run Phillips curve, which is typically motivated by the effects of capacity constraints that limit the ability of the economy to expand in the short run, has recently attracted renewed attention. The article surveys recent research that finds some evidence of this type of non-linearity in the Phillips curve in Canada and considers the potential implications for monetary policy. Content Type(s): Publications, Bank of Canada Review articles