A Horse Race of Monetary Policy Regimes: An Experimental Investigation Staff working paper 2022-33 Olena Kostyshyna, Luba Petersen, Jing Yang How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, D, D8, D84, E, E5, E52, E58 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
May 14, 2015 The Use of Cash in Canada Bank of Canada Review - Spring 2015 Ben Fung, Kim Huynh, Gerald Stuber The Bank of Canada’s 2013 Methods-of-Payment Survey indicates that the share of cash in the overall number of retail transactions has continued to decrease, mainly because of increased use of contactless credit cards. The share of cash in the total value of retail transactions was virtually unchanged from 2009 to 2013. In particular, the value share of cash transactions above $50 increased. Automated banking machines (ABMs), still the major source of cash for Canadians, were used less often in 2013 than in 2009. Cash use in Canada is broadly similar to that in Australia and the United States. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C8, C83, E, E4, E42, G, G2, G21, L, L8, L81
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
Markov‐Switching Three‐Pass Regression Filter Staff working paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C23, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Women in economics: What data from top universities reveal about gender equity Sparks at Bank article Gabriela Galassi In the field of economics, on average, women tend to produce fewer research articles and be cited less often than men. But this appears to be changing. A newly compiled dataset about scholars at top universities around the world helps us identify where individual gender gaps exist. Content Type(s): Staff research, Sparks at Bank article Research Theme(s): Structural challenges, Demographics and labour supply
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
An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff working paper 2019-26 Rodney J. Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C72, E, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement Staff working paper 2017-27 Alex Chernoff This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization. Content Type(s): Staff research, Staff working papers JEL Code(s): N, N6, N61, O, O1, O14, R, R1, R13 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
Canadian Financial Stress and Macroeconomic Conditions Staff discussion paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Real economy and forecasting
Machine learning for economics research: when, what and how Staff analytical note 2023-16 Ajit Desai This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity