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June 15, 2007

Interpreting Canada's Productivity Performance in the Past Decade: Lessons from Recent Research

Dion examines the evolution of Canadian productivity since the mid-1990s, using the United States as a benchmark. During this period, trend productivity growth in Canada remained modest, whereas the U.S. witnessed a strong resurgence. Among the factors identified as potential root causes of Canada's lower productivity performance are a lower investment in information and communications technology, reallocation and adjustment costs associated with large relative price movements, and a weak demand for innovation.
November 14, 2013

Assessing Financial System Vulnerabilities: An Early Warning Approach

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E6, E66, G, G0, G01

Carolyn A. Wilkins

Carolyn A. Wilkins served as Senior Deputy Governor from May 2014 to December 2020.

A Dynamic Factor Model for Nowcasting Canadian GDP Growth

Staff working paper 2017-2 Tony Chernis, Rodrigo Sekkel
This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.
September 10, 2020

Economic progress report: a very uneven recovery

Remarks (delivered virtually) Tiff Macklem The Canadian Chamber of Commerce Ottawa, Ontario
Governor Tiff Macklem discusses the Bank’s latest interest rate announcement and explains the uneven impact that the COVID-19 pandemic is having on different sectors and people.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff working paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.
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