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66 Results

Predicting Changes in Canadian Housing Markets with Machine Learning

Staff Discussion Paper 2023-21 Johan Brannlund, Helen Lao, Maureen MacIsaac, Jing Yang
We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant.

The contribution of firm profits to the recent rise in inflation

Staff Analytical Note 2023-12 Panagiotis Bouras, Christian Bustamante, Xing Guo, Jacob Short
We measure the contribution to inflation from the growth in markups of Canadian firms. The dynamics of inflation and markups suggest that changes in markups could account for less than one-tenth of inflation in 2021. Further, they suggest that peak inflation was driven primarily by changes in the costs of firms.

Markups and inflation during the COVID-19 pandemic

Staff Analytical Note 2023-8 Olga Bilyk, Timothy Grieder, Mikael Khan
We find that prices and costs for consumer-oriented firms moved roughly one-for-one during the COVID-19 pandemic. This means firms fully passed rising costs through to the prices they charged. However, our results are suggestive, given data limitations and the uncertainty associated with estimating markups.
Content Type(s): Staff research, Staff analytical notes Topic(s): Firm dynamics, Inflation and prices JEL Code(s): D, D2, D4, E, E2, E3, L, L1

SME Failures Under Large Liquidity Shocks: An Application to the COVID-19 Crisis

We study the effects of financial frictions on firm exit when firms face large liquidity shocks. We develop a simple model of firm cost-minimization that introduces a financial friction that limits firms’ borrowing capacity to smooth temporary shocks to liquidity.

Firms’ inflation expectations and price-setting behaviour in Canada: Evidence from a business survey

Staff Analytical Note 2023-3 Ramisha Asghar, James Fudurich, Jane Voll
Canadian firms’ expectations for high inflation may be influencing their price setting, supporting strong price growth and delays in the transmission of monetary policy. Using data from the Business Outlook Survey, we investigate the reasons behind widespread price growth seen in Canada in 2021 and early 2022.

The 2021–22 Merchant Acceptance Survey Pilot Study

Staff Discussion Paper 2023-1 Angelika Welte, Joy Wu
The rise in digital payment innovations has spurred a discussion about the future of cash at the point of sale. The Bank conducted the 2021–22 Merchant Acceptance Survey Pilot Study to study trends in merchant cash acceptance and monitor conditions for the potential issuance of a central bank digital currency.

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.

The Business Leaders’ Pulse—An Online Business Survey

This paper introduces the Business Leaders’ Pulse, a new online survey conducted each month. It is designed to provide timely and flexible input into the Bank of Canada’s monetary policy decision making by asking firms about their sales and employment growth expectations, the risks to their business outlook, and topical questions that address specific information needs of the Bank.
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