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522 Results

Monetary Payoff and Utility Function in Adaptive Learning Models

Staff working paper 2019-50 Erhao Xie
When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications.

Monetary Policy Transmission, Bank Market Power, and Wholesale Funding Reliance

Staff working paper 2023-35 Amina Enkhbold
I study how banking market concentration and reliance on wholesale funding affect monetary policy transmission to mortgage rates. I find that this transmission is imperfect and dampens the response of consumption, output, and housing prices.

Let’s Get Physical: Impacts of Climate Change Physical Risks on Provincial Employment

Staff working paper 2024-32 Thibaut Duprey, Soojin Jo, Geneviève Vallée
We analyze 40 years’ worth of natural disasters using a local projection framework to assess their impact on provincial labour markets in Canada. We find that disasters decrease hours worked within a week and lower wage growth in the medium run. Our study highlights that disasters affect vulnerable workers through the income channel.

Assessing Global Potential Output Growth

This note estimates potential output growth for the global economy through 2019. While there is considerable uncertainty surrounding our estimates, overall we expect global potential output growth to rise modestly, from 3.1 per cent in 2016 to 3.4 per cent in 2019.
April 20, 2005

Conference Summary: Canada in the Global Economy

The Bank of Canada's 2004 research conference examined the real and financial linkages between the Canadian economy and the economies in the rest of the world. Although Canada has profited enormously from its openness to international trade in goods, services, and financial assets, many of the most significant shocks to the Canadian economy in recent years have come from abroad. For these reasons, understanding the extent and nature of the external linkages, their implications for the Canadian economy, and the process by which the Canadian economy adjusts to external shocks is of critical importance both for monetary policy and for monitoring the financial system. This article describes the purpose of the conference—to deepen economists' understanding of these important issues—and provides highlights of the papers presented in each of the five sessions, as well as summaries of the keynote lecture and the discussion of the policy panel.

Optimal Monetary Policy According to HANK

Staff working paper 2021-55 Sushant Acharya, Edouard Challe, Keshav Dogra
We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable.

Asymmetric Systemic Risk

Staff working paper 2022-19 Radoslav Raykov, Consuelo Silva-Buston
Bank regulation presumes risks spill over more easily from large banks to the banking system than vice versa. Interestingly, we observe this is not the case. We find that the capacity to transmit risk is larger in the system-to-bank direction, leading to an increased default risk.

Estimation and Inference for Stochastic Volatility Models with Heavy-Tailed Distributions

Statistical inference--both estimation and testing--for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student’s t and Generalized Exponential Distributions (GED). The estimators rely on a small set of moment conditions derived from ARMA-type representations of SV models, with an option to apply “winsorization” to improve stability and finite-sample performance. Except for the degrees of-freedom parameter, closed-form expressions are available for all other parameters, extending Ahsan and Dufour (2019, 2021), thus eliminating the need for numerical optimization or initial values. We derive the estimators’ asymptotic distribution and show that, due to their analytical tractability, they support reliable, and even exact, simulation-based inference via Monte Carlo or bootstrap methods. We assess their performance through extensive simulations and demonstrate their practical relevance in financial return data, which strongly reject the normality assumption in favor of heavy-tailed models.

Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey

Staff working paper 2016-7 Simon Richards, Matthieu Verstraete
Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period.
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