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 JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
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) Monetary Policy with and without Debt Staff working paper 2021-5 Boris Chafwehé, Rigas Oikonomou, Romanos Priftis, Lukas Vogel How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, E, E3, E31, E5, E52, E58, E6, E62 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
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 JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds Staff working paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger What are the main drivers behind the monetary policy reaction function of the People’s Bank of China? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E5, E52, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission
Qualitative Field Research in Monetary Policy Making Staff discussion paper 2021-1 Chris D'Souza, Jane Voll Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
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 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
Allocative Efficiency and the Productivity Slowdown Staff working paper 2021-1 Lin Shao, Rongsheng Tang In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E23, O, O4, O47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
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 JEL Code(s): E, E2, E21, E4, E49, G, G1, G18, K, K3, K35 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Household and business credit, Monetary policy, Monetary policy framework and transmission
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 JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments