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585 Results

On the Wedge Between the PPI and CPI Inflation Indicators

Staff working paper 2022-5 Shang-Jin Wei, Yinxi Xie
We find that the CPI and PPI inflation indexes co-moved strongly throughout the late 20th century, but their correlation has fallen substantially since the early 2000s. We offer a structural explanation for this divergence based on the growth of global supply chains since 2000. This finding offers a unique perspective for the future design of optimal monetary policy.

The Impact of Macroprudential Housing Finance Tools in Canada: 2005–10

Staff working paper 2016-41 Jason Allen, Timothy Grieder, Brian Peterson, Tom Roberts
This paper combines loan-level administrative data with household-level survey data to analyze the impact of recent macroprudential policy changes in Canada using a microsimulation model of mortgage demand of first-time homebuyers.

Central Bank Crisis Interventions: A Review of the Recent Literature on Potential Costs

Staff discussion paper 2023-30 Patrick Aldridge, David Cimon, Rishi Vala
Central banks’ actions to stabilize financial markets and implement monetary policy during crises may come with costs and side effects. We provide a literature review of these costs and discuss measures that may mitigate the negative impacts of crisis actions.

A Three‐Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth

Staff discussion paper 2017-8 Tony Chernis, Gabriella Velasco, Calista Cheung
This paper estimates a three‐frequency dynamic factor model for nowcasting Canadian provincial gross domestic product (GDP). Canadian provincial GDP is released by Statistics Canada on an annual basis only, with a significant lag (11 months).
October 9, 2025

Productivity’s competitive edge

Remarks Carolyn Rogers Canadian Club Toronto Toronto, Ontario
Senior Deputy Governor Carolyn Rogers discusses how productivity growth can boost Canada’s prosperity and resilience. She also outlines how upcoming financial sector reforms are designed to increase competition.

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.
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