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544 Results

Monetary Policy Transmission with Endogenous Central Bank Responses in TANK

Staff Working Paper 2025-21 Lilia Maliar, Chris Naubert
We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission.

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.

The impact of trading flows on Government of Canada bond prices

Staff Analytical Note 2025-20 Andreas Uthemann, Rishi Vala, Jun Yang
Trading flows affect Government of Canada bond prices. Our estimates suggest a sale of 1% of the available supply of bonds typically lowers bond prices by 0.2%. From 2000 to 2025, demand from institutional investors, such as Canadian pension funds and foreign investors, explains 69% of quarterly price variation, with the remainder explained by changes in the supply of bonds.

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

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

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks

Staff Working Paper 2025-10 Zhentong Lu, Kenichi Shimizu
We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets.

Canadian Bitcoin Ownership in 2023: Key Takeaways

Staff Discussion Paper 2025-4 Daniela Balutel, Marie-Hélène Felt, Doina Rusu
The Bitcoin Omnibus Survey is an important tool for monitoring Canadians’ awareness and ownership of bitcoin and other cryptoassets over time. In this paper, we present data highlights from the 2023 survey.

Estimating the inflation risk premium

Staff Analytical Note 2025-9 Bruno Feunou, Gitanjali Kumar
Is there a risk of de-anchoring of inflation expectations in the near term? We estimate the inflation risk premium using traditional asset pricing models to answer this question. The risk of de-anchoring is elevated compared with the period before the COVID-19 pandemic and is higher in the United States than in Canada.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C58, G, G1, G12

Crisis facilities as a source of public information

Staff Analytical Note 2025-7 Lerby Ergun
During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.
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