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93 Results

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).

Quantile VARs and Macroeconomic Risk Forecasting

Staff Working Paper 2025-4 Stéphane Surprenant
This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles JEL Code(s): C, C5, C53, C55, E, E3, E37

Differentiable, Filter Free Bayesian Estimation of DSGE Models Using Mixture Density Networks

Staff Working Paper 2025-3 Chris Naubert
I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C6, C61, C63, E, E3, E37, E4, E47

Interaction of Macroprudential and Monetary Policies: Practice Ahead of Theory

Staff Discussion Paper 2024-18 Thibaut Duprey, Yaz Terajima, Jing Yang
We draw on the Canadian experience to examine how monetary and macroprudential policies interact and possibly complement each other in achieving their respective price and financial stability objectives.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Financial stability, Monetary policy JEL Code(s): E, E3, E37, E5, E52, E58, E6, E61, G, G0, G01, G2, G21, G28

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

Sources of pandemic-era inflation in Canada: an application of the Bernanke and Blanchard model

Staff Analytical Note 2024-13 Fares Bounajm, Jean Garry Junior Roc, Yang Zhang
We explore the drivers of the surge in inflation in Canada during the COVID-19 pandemic. This work is part of a joint effort by 11 central banks using the model developed by Bernanke and Blanchard (2023) to identify similarities and differences across economies.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Economic models, Inflation and prices, Labour markets JEL Code(s): E, E2, E24, E3, E31, E37, E5, E52, E6

Making It Real: Bringing Research Models into Central Bank Projections

Staff Discussion Paper 2023-29 Marc-André Gosselin, Sharon Kozicki
Macroeconomic projections and risk analyses play an important role in guiding monetary policy decisions. Models are integral to this process. This paper discusses how the Bank of Canada brings research models and lessons learned from those models into the central bank projection environment.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Economic models, Monetary policy JEL Code(s): C, C3, C32, C5, C51, E, E3, E37, E4, E47, E5, E52

Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis

Staff Working Paper 2023-45 Tony Chernis
I show how to combine large numbers of forecasts using several approaches within the framework of a Bayesian predictive synthesis. I find techniques that choose and combine a handful of forecasts, known as global-local shrinkage priors, perform best.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C11, C5, C52, C53, E, E3, E37

Turning Words into Numbers: Measuring News Media Coverage of Shortages

Staff Discussion Paper 2023-8 Lin Chen, Stephanie Houle
We develop high-frequency, news-based indicators using natural language processing methods to analyze news media texts. Our indicators track both supply (raw, intermediate and final goods) and labour shortages over time. They also provide weekly time-varying topic narratives about various types of shortages.

Risk Amplification Macro Model (RAMM)

Technical Report No. 123 Kerem Tuzcuoglu
The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.
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