Privacy-Enhancing Technologies for CBDC Solutions Staff discussion paper 2025-1 Rakesh Arora, Han Du, Raza Ali Kazmi, Duc-Phong Le Privacy-enhancing technologies (PETs) could offer solutions to safeguard end-user privacy and meet rigorous data protection standards for central bank digital currencies. We consider how PETs can transform privacy design in financial systems and the implications of their broader adoption. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E42, O, O3, O31 Research Theme(s): Financial system, Financial system regulation and oversight, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Public vs. Private Payment Platforms: Market Impacts and Optimal Policy Staff working paper 2026-10 Youming Liu, Francisco Rivadeneyra, Edona Reshidi We study the competition between a welfare-maximizing public payment platform (e.g., CBDC or fast payment system) and a profit-maximizing private platform in a two-sided market, deriving optimal public pricing and showing how network effects, fragmentation, and policy mandates like zero fees or cost recovery shape welfare, usage, and fee incidence. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, E, E4, E42, E5, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
No Double Standards: Quantifying the Impact of Standard Harmonization on Trade Staff working paper 2019-36 Julia Schmidt, Walter Steingress Product standards are omnipresent in industrialized societies. Though standardization can be beneficial for domestic producers, divergent product standards have been categorized as a major obstacle to international trade. This paper quantifies the effect of standard harmonization on trade flows and characterizes the extent to which it changes the cost and demand structure of exporting. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F13, F14, F15, L, L1, L15 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
Identifying Aggregate Shocks with Micro-level Heterogeneity: Financial Shocks and Investment Fluctuation Staff working paper 2020-17 Xing Guo This paper identifies aggregate financial shocks and quantifies their effects on business investment based on an estimated DSGE model with firm-level heterogeneity. On average, financial shocks contribute only 3% of the variation in U.S. public firms’ aggregate investment. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E12, E2, E22, G, G3, G31, G32 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Monetary Commitment and the Level of Public Debt Staff working paper 2016-3 Stefano Gnocchi, Luisa Lambertini We analyze the interaction between committed monetary policy and discretionary fiscal policy in a model with public debt, endogenous government expenditures, distortive taxation and nominal rigidities. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E3, E32, E5, E52 Research Theme(s): Financial markets and funds management, Funds management, Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Behavioral Learning Equilibria in New Keynesian Models Staff working paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, D, D8, D83, D84, E, E3, E6, E62 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Endogenous Credibility and Wage-Price Spirals Staff working paper 2024-14 Olena Kostyshyna, Tolga Özden, Yang Zhang We quantitively assess the risks of a wage-price spiral occurring in Canada over history. We find the risk of a wage-price spiral increases when the inflation expectations become unanchored and the credibility of central banks declines. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, E, E0, E00, E4, E47, E7 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
The Anatomy of Sentiment-Driven Fluctuations Staff working paper 2021-33 Sushant Acharya, Jess Benhabib, Zhen Huo We show that changes in sentiment that aren’t related to fundamentals can drive persistent macroeconomic fluctuations even when all economic agents are rational. Changes in sentiment can also affect how fundamental shocks affect macroeconomic outcomes. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E20, E3, E32, F, F4, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, 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
The Government of Canada Debt Securities Data Set Technical report No. 112 Jeffrey Gao, Francisco Rivadeneyra, Gabriel Rodriguez Rondon We present the daily time series of the outstanding amounts of all Government of Canada marketable debt securities from July 2001 to June 2017. Content Type(s): Staff research, Technical reports JEL Code(s): C, C8, C80, G, G1, G10, H, H6, H63 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods