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2154 Results

November 22, 2003

Recent Labour Market Developments in Canada

In the year and a half leading up to mid-2003, both employment and labour force participation increased at an unusually rapid pace compared to domestic economic activity. Gains in employment were unusually large, relative to output growth, compared to gains in total hours worked. This is explained by a faster rate of increase in the participation rate of the 55 and older age group, many of whom opted for part-time employment. This shift in the composition of employment contributed to a reduction in the length of the average workweek in 2002. As a result, labour input progressed at a rate that was markedly slower than for employment and more in line with its historical relationship to output growth. The authors anticipate that the 55 and older age group will continue to participate strongly in the labour force, but that as the economy rebounds and uncertainty diminishes, the cyclical component in the growth of part-time work should diminish and that of full-time employment increase. Employment growth should moderate in relation to output growth and there may be a cyclical rebound in labour productivity as total hours worked increases during the initial recovery in output growth.

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

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.

Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours

Staff working paper 2018-60 Erhao Xie
This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.

Identifying Nascent High-Growth Firms Using Machine Learning

Staff working paper 2023-53 Stéphanie Houle, Ryan Macdonald
Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.
June 2, 2022

Economic progress report: Navigating a high inflation environment

Remarks (delivered virtually) Paul Beaudry Gatineau Chamber of Commerce Gatineau, Quebec
Bank of Canada Deputy Governor Paul Beaudry talks about the Bank’s latest interest rate announcement and the importance of keeping inflation expectations well anchored to prevent high inflation from becoming entrenched.

An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework

Staff discussion paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille
In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.
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