Correcting Selection Bias in a Non-Probability Two-Phase Payment Survey Staff working paper 2025-17 Heng Chen, John Tsang We develop statistical inferences for a non-probability two-phase survey sample when relevant auxiliary information is available from a probability survey sample. The proposed method is assessed by simulation studies and used to analyze a non-probability two phase payment survey. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C8, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
The Macroeconomic Effects of Debt Relief Policies During Recessions Staff working paper 2023-48 Soyoung Lee A large-scale reduction in mortgage principal can strengthen a recovery, support house prices and lower foreclosures. The nature of the intervention shapes its impact, which rests on how resources are redistributed across households. The availability of bankruptcy on unsecured debt changes the response to large-scale mortgage relief by reducing precautionary savings. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E32, E6 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation, Real economy and forecasting
To Tokenize, or Not to Tokenize: The Design Question for a Central Bank Digital Currency Staff working paper 2026-14 Jonathan Chiu, Cyril Monnet, Oliver Junye Xu This paper develops a general equilibrium model to assess central bank digital currency (CBDC) design in a monetary system where traditional banks and “crypto banks” (i.e., banks that issue stablecoins) coexist. We compare tokenized and non-tokenized CBDC, showing that their desirability depends on the reliability of private money provision, the availability of collateral assets and the features of the crypto sector. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E50, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Fiscal Stimulus and Skill Accumulation over the Life Cycle Staff working paper 2023-9 Laure Simon Using micro data from the U.S. Consumer Expenditure Survey and Current Population Survey, I document that government spending shocks affect individuals differently over the life cycle. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, D15, E, E2, E21, E6, E62, J, J1, J11, J2, J24 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Home Equity Extraction and the Boom-Bust Cycle in Consumption and Residential Investment Staff working paper 2018-6 Xiaoqing Zhou The consumption boom-bust cycle in the 2000s coincided with large fluctuations in the volume of home equity borrowing. Contrary to conventional wisdom, I show that homeowners largely borrowed for residential investment and not consumption. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, E, E2, E3 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
CANVAS: A Canadian Behavioral Agent-Based Model Staff working paper 2022-51 Cars Hommes, Mario He, Sebastian Poledna, Melissa Siqueira, Yang Zhang The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis. Content Type(s): Staff research, Staff working papers JEL Code(s): C, D, D2, D22, D8, D83, E, E1, E17 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
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
High-Cost Consumer Credit: Desperation, Temptation and Default Staff working paper 2025-6 Joaquín Saldain I study the welfare consequences of regulations on high-cost consumer credit in the United States and find that borrowing limits have distributional impacts on households with self-control issues. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E7, E71, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit
Monetary Policy, Trends in Real Interest Rates and Depressed Demand Staff working paper 2021-27 Paul Beaudry, Césaire Meh Over the last few decades, real interest rates have trended downward. The most common explanation is that this reflects depressed demand due to demographic, technological and other real factors. We explore the claim that these trends may have been amplified by certain features of monetary policy. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E4, E43, E44, E5, E52, E6, E62, E63, H, H3, H6, H63 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
A Generalized Endogenous Grid Method for Default Risk Models Staff working paper 2021-11 Youngsoo Jang, Soyoung Lee Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models