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2172 Results

Labour Supply and Firm Size

Staff working paper 2023-47 Lin Shao, Faisal Sohail, Emircan Yurdagul
This paper documents a systematic pattern of how wages, hours and their relationship vary across firms of different sizes. Using a model with heterogeneous firms and workers, we show how the interplay between wages, hours and firm size affect worker sorting and inequality.
February 8, 2018

At the Crossroads: Innovation and Inclusive Growth

Remarks Carolyn A. Wilkins G7 Symposium on Innovation and Inclusive Growth Montebello, Quebec
Senior Deputy Governor Carolyn A. Wilkins discusses technological progress and how policy-makers can harness it for economic growth that benefits everyone.

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.

Strengthening Inflation Targeting: Review and Renewal Processes in Canada and Other Advanced Jurisdictions

Staff discussion paper 2020-7 Robert Amano, Thomas J. Carter, Lawrence L. Schembri
We summarize the review and renewal process at four central banks (Reserve Bank of New Zealand, Bank of England, Sveriges Riksbank and the US Federal Reserve Bank) and compare them with the process at the Bank of Canada, which has been well-established since 2001.

Bouncing Back: How Mothballing Curbs Prices

We investigate the macroeconomic impacts of mothballed businesses—those that closed temporarily—on sectoral equilibrium prices after a negative demand shock. Our results suggest that pandemic fiscal support for temporary closures may have eased inflationary pressures.

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.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.
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