Estimating the impacts on GDP of natural disasters in Canada Staff Analytical Note 2025-5 Tatjana Dahlhaus, Thibaut Duprey, Craig Johnston Extreme weather events contribute to increased volatility in both economic activity and prices, interfering with the assessment of the true underlying trends of the economy. With this in mind, we conduct a timely assessment of the impact of natural disasters on Canadian gross domestic product (GDP). Content Type(s): Staff research, Staff analytical notes Research Topic(s): Climate change, Domestic demand and components, Econometric and statistical methods, Fiscal policy, Regional economic developments JEL Code(s): B, B2, B23, C, C1, C13, C2, C23, E, E1, E17, E3, E37, E6, E62, H, H6
Monetary Policy Transmission amid Demand Reallocations Staff Working Paper 2024-42 Julien Bengui, Lu Han, Gaelan MacKenzie We analyze the transmission of monetary policy during different phases of a sectoral demand reallocation episode when there are frictions to increasing production in a sector. Monetary policy is more effective in reducing inflation when a larger proportion of sectors are expanding or expect to expand in the near future. Content Type(s): Staff research, Staff working papers Research Topic(s): Domestic demand and components, Inflation and prices, Monetary policy transmission JEL Code(s): E, E1, E12, E2, E24, E3, E31, E5, E52
Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data Staff Working Paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment. Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Monetary policy transmission JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52
Parallel Tempering for DSGE Estimation Staff Working Paper 2024-13 Joshua Brault I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C1, C11, C15, E, E1, E10
Assessing global potential output growth: April 2024 Staff Analytical Note 2024-10 Amor Aniss Benmoussa, Raheeb Dastagir, Eshini Ekanayake, Justin-Damien Guénette, Helen Lao, Jenna Rolland-Mills, Aidan Spencer, Lin Xiang This note presents the annual update of Bank of Canada staff estimates for growth in global potential output. These estimates serve as key inputs to the analysis supporting the April 2024 Monetary Policy Report. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Potential output, Productivity JEL Code(s): E, E1, E2, F, F0, O, O4
Labor Market Shocks and Monetary Policy Staff Working Paper 2023-52 Serdar Birinci, Fatih Karahan, Yusuf Mercan, Kurt See We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation. 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): E, E1, E12, E2, E24, E5, E52, J, J3, J31, J6, J62, J64
Should Banks Be Worried About Dividend Restrictions? Staff Working Paper 2023-49 Josef Schroth A regulator would want to restrict dividends to force banks to rebuild capital during a crisis. But such a policy is not time-consistent. A time-consistent policy would let banks gradually rebuild capital and pay dividends even when their equity remains below pre-crisis levels. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Credit and credit aggregates, Credit risk management, Financial stability, Financial system regulation and policies, Lender of last resort JEL Code(s): E, E1, E13, E3, E32, E4, E44
Assessing global potential output growth and the US neutral rate: April 2023 Staff Analytical Note 2023-5 Salma Ahmed, Aviel Avshalumov, Tania Chaar, Eshini Ekanayake, Helen Lao, Louis Poirier, Jenna Rolland-Mills, Argyn Toktamyssov, Lin Xiang We expect global potential output growth to increase from 2.5% in 2022 to 2.8% by 2026. Compared with the April 2022 staff assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, unchanged from the last annual assessment. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Interest rates, Monetary policy, Potential output, Productivity JEL Code(s): E, E1, E2, E4, E5, F, F0, O, O4
Learning in a Complex World: Insights from an OLG Lab Experiment Staff Working Paper 2023-13 Cars Hommes, Stefanie J. Huber, Daria Minina, Isabelle Salle This paper brings novel insights into group coordination and price dynamics in complex environments. We implement a chaotic overlapping-generation model in the lab and find that group coordination is always on the steady state or on the two-cycle and that behavior is non-monotonic. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C6, C62, C68, C9, C91, C92, E, E1, E13, E7, E70, G, G1, G12, G4, G41
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 Research Topic(s): Central bank research, Econometric and statistical methods, Economic models, Firm dynamics, Inflation and prices JEL Code(s): C, D, D2, D22, D8, D83, E, E1, E17