Labor Markets, Financial Crises, and Inflation: Jobless and Wageless Recoveries* Staff working paper 2026-31 Guillermo Calvo, Emilio Colombi, Fabrizio Coricelli, Pablo Ottonello We document the macroeconomic patterns that characterize labor market recovery from financial crises. Using a sample of postwar recession episodes from around the world, we show that financial crises are typically followed by jobless recoveries, with a sluggish recovery in employment relative to output. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E3, E31, E4, E44, F, F3, F32 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Climate Change and Monetary Policy: Navigating Physical Risks Staff analytical paper 2026-44 Tatjana Dahlhaus Weather-related disasters can reduce output while increasing inflation, creating difficult trade-offs for monetary policy. This note reviews evidence on the macroeconomic effects of physical climate risks and uses a structural model to assess how more frequent and severe disasters could shape future monetary policy challenges. Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C6, C68, E, E1, E12, E3, E31, E5, E52, F, F4, F41, Q, Q5, Q54 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Climate change
Segmented Inflation Dynamics (SID): Identifying Trend Inflation from the Price Index Staff analytical paper 2026-43 André Binette, Colleen Smith This note presents Segmented Inflation Dynamics (SID), a data-driven tool for assessing trend inflation. SID uses time-series segmentation to divide the price index into contiguous segments with stable inflation rates. Based on data through December 2025, SID indicates that Canada’s trend inflation has been near 2 percent since early 2024. Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C2, C22, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
Tracking Heterogeneous Spending Patterns with Credit Card Microdata Staff analytical paper 2026-38 Jia Qi Xiao, Jackson Reid, Joey Daniels We present a measure of account-level credit card spending constructed using credit bureau microdata, capturing monthly spending for approximately 80% of adults in Canada. Our measure offers higher frequency than other publicly available consumption metrics, and can be disaggregated by age, geographic location and credit history. Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C5, C55, C8, C81, D, D1, D14, E, E2, E21, E3, E32, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Household and business credit, Monetary policy, Real economy and forecasting
Time Use and Consumption Expenditures Staff working paper 2026-29 Daniela Hauser, Stefano Gnocchi, Laure Simon This paper shows that consumption activities toward which households reallocate more time in recessions see larger expenditure declines, revealing a systematic link between time-use and expenditure cyclicality. A two-sector New Keynesian model shows this time-expenditure substitution explains roughly forty percent of consumption's response to monetary policy shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, E, E2, E21, E3, E32, E5, E52, J, J2, J22 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Monetary Policy in an AI-Driven Two-Speed Economy Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E3, E31, E32, E5, E52, J, J2, J23, O, O3, O33 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
Monetary Policy Challenges in a Volatile World Staff analytical paper 2026-34 Stefano Gnocchi, Matteo Cacciatore Rising volatility and structural shifts—deglobalization, climate risks, and AI—are reshaping inflation and policy trade-offs. Evidence suggests central banks can accommodate supply-driven inflation while balancing inflation and output, as long as expectations stay anchored and policy reflects shock size, persistence, and broader economic conditions. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E3, E31, E32, E5, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Climate change, International trade, finance and competitiveness
Seeing the Economy through Colored Glasses: Partisanship in Macro and (not in) Micro Expectations Staff working paper 2026-24 Adrian Monninger, Kyung Woong Koh, Tao Wang Households report distinctive views of the macroeconomy along partisan lines, while their expectations about personal finances do not follow the same pattern. Economic inequality remains the major contributor to polarized views of the macroeconomy. Partisan politics are simply a magnifier. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E7, E71 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Monte Carlo Likelihood-Ratio Tests for Markov Switching Models Staff working paper 2026-23 Gabriel Rodriguez Rondon, Jean-Marie Dufour This paper develops Monte Carlo likelihood-ratio tests for determining the number of regimes in Markov switching models. Unlike most existing procedures, which focus on testing one versus two regimes, the proposed methods allow testing an arbitrary number of regimes. They are valid in finite samples, robust to identification problems, and applicable to nonstationary, multivariate, and Markov switching GARCH models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C12, C15, C2, C22, C3, C32, C4, C46, C5, C52, E, E3, E32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Supply and Demand-Driven inflation: Decomposition and policy implications Staff analytical paper 2026-33 Kira Kang, Rodrigo Sekkel, Temel Taskin, Jing Yang This note uses detailed expenditure data to decompose Canadian inflation into supply- and demand-driven components. The analysis sheds light on the drivers of post-pandemic inflation and shows that monetary policy primarily affects and responds to demand-driven inflation. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E3, E31, E5, E52, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission