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13 Results

(Optimal) Monetary Policy with and without Debt

How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output.

Understanding Trend Inflation Through the Lens of the Goods and Services Sectors

Staff Working Paper 2020-45 Yunjong Eo, Luis Uzeda, Benjamin Wong
The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics.

Endogenous Time Variation in Vector Autoregressions

Staff Working Paper 2020-16 Danilo Leiva-Leon, Luis Uzeda
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.

State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

Staff Working Paper 2018-14 Luis Uzeda
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.

Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities

Staff Analytical Note 2018-6 Thibaut Duprey
When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances.

Monetary Policy Transmission during Financial Crises: An Empirical Analysis

Staff Working Paper 2014-21 Tatjana Dahlhaus
This paper studies the effects of a monetary policy expansion in the United States during times of high financial stress. The analysis is carried out by introducing a smooth transition factor model where the transition between states (“normal” and high financial stress) depends on a financial conditions index.

Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound

Staff Working Paper 2012-21 Christiane Baumeister, Luca Benati
We explore the macroeconomic effects of a compression in the long-term bond yield spread within the context of the Great Recession of 2007-2009 via a time-varying parameter structural VAR model.

On Fiscal Multipliers: Estimates from a Medium Scale DSGE Model

Staff Working Paper 2010-30 Sarah Zubairy
This paper contributes to the debate on fiscal multipliers, in the context of a structural model. I estimate a micro-founded dynamic stochastic general equilibrium model, that features a rich fiscal policy block and a transmission mechanism for government spending shocks, using Bayesian techniques for US data.
Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Fiscal policy JEL Code(s): C, C1, C11, E, E3, E32, E6, E62, H, H3, H30

Estimating the Structure of the Payment Network in the LVTS: An Application of Estimating Communities in Network Data

Staff Working Paper 2010-13 James Chapman, Nellie Zhang
In the Canadian large value payment system an important goal is to understand how liquidity is transferred through the system and hence how efficient the system is in settling payments. Understanding the structure of the underlying network of relationships between participants in the payment system is a crucial step in achieving the goal.

Real Time Detection of Structural Breaks in GARCH Models

Staff Working Paper 2009-31 Zhongfang He, John M. Maheu
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time.