Uncovering Subjective Models from Survey Expectations Staff working paper 2025-31 Chenyu Hou, Tao Wang This paper shows that survey expectations can be used to uncover how households subjectively think about inflation and unemployment dynamics jointly. The commonly documented "stagflation view", namely the households' tendency to associate inflation with a worse labor market, implies amplified impacts of supply shocks and dampened ones of demand shocks. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Inflation and prices, Labour markets, Monetary policy JEL Code(s): D, D8, D84, E, E2, E21, E3, E30, E32, E7, E71 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Risk Scenarios and Macroeconomic Forecasts Staff working paper 2025-28 Kevin Moran, Dalibor Stevanovic, Stéphane Surprenant We produce forecasts for four risk scenarios to consider their usefulness for monitoring the Canadian economy. We find a high-oil-price scenario benefits the economy, a US recession induces a slowdown, a tight labor market leads to price increases, and a restrictive monetary policy scenario increases the unemployment rate while lowering the inflation rate. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Monetary policy JEL Code(s): E, E3, E32, F, F4, F41, F44 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
High-Frequency Cross-Sectional Identification of Military News Shocks Staff working paper 2025-27 Francesco Amodeo, Edoardo Briganti We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Fiscal policy JEL Code(s): E, E2, E20, E3, E30, E32, E6, E60, E62, E65 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Financial Shocks and the Output Growth Distribution Staff working paper 2025-25 Francois-Michel Boire, Thibaut Duprey, Alexander Ueberfeldt This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Econometric and statistical methods, Financial markets, Financial stability, Monetary and financial indicators JEL Code(s): C, C3, C32, C5, C53, E, E3, E32, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Dynamic Consumer Cash Inventory Model Staff working paper 2025-22 Kim Huynh, Oleksandr Shcherbakov, André Stenzel We study consumer cash inventory behavior by developing a dynamic model of forward-looking consumers and estimating structural parameters of the model using detailed consumer survey data. Consumers facing holding and withdrawal costs solve a discrete-time continuous-control dynamic programming problem to optimally use cash at the point of sale. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): D, D1, D12, D14, E, E4, E41, E42, G, G2, G21 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
The Dynamic Canadian Debt Strategy Model Technical report No. 127 Nicolas Audet, Joe Ning, Adam Epp, Jeffrey Gao We present a dynamic debt strategy model framework designed to assist sovereign debt portfolio managers in choosing an optimal debt issuance strategy. The main innovation of this framework is the introduction of dynamic issuance strategies, which allow issuance decisions to vary over time based on the model’s simulated state variables. Content Type(s): Staff research, Technical reports Research Topic(s): Debt management, Econometric and statistical methods, Financial markets, Fiscal policy JEL Code(s): C, C6, C61, G, G1, G11, G17, H, H6, H63, H68 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods
Examining the Links Between Firm Performance and Insolvency Staff discussion paper 2025-10 Dylan Hogg, Hossein Hosseini Jebeli Assessing insolvency dynamics is essential for evaluating the financial health of non-financial corporations and mitigating macroeconomic and financial stability risks. This study leverages a newly created Statistics Canada dataset linking insolvency records with firm-level financial data to develop a robust framework for monitoring insolvency risk Content Type(s): Staff research, Staff discussion papers Research Topic(s): Credit and credit aggregates, Econometric and statistical methods, Financial stability, Firm dynamics JEL Code(s): D, D2, D22, G, G3, G33, L, L2, L20 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods
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 Research Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C8, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Fiscal policy JEL Code(s): C, C1, C11, C12, C3, C32, E, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Low Response Rate from Merchants? Sample and Ask Consumers! An Application of Indirect Sampling Under a Consumer-Merchant Bipartite Network Technical report No. 126 Heng Chen, Joy Wu Under the consumer-merchant bipartite network, we apply the indirect sampling approach to estimate merchant payment acceptance through a consumer payment diary. Content Type(s): Staff research, Technical reports Research Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C8, C80, C83, E, E5 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments