A Reference Guide for the Business Outlook Survey Staff discussion paper 2020-15 David Amirault, Naveen Rai, Laurent Martin The Business Outlook Survey (BOS) has become an important part of monetary policy deliberations at the Bank of Canada and is also well known in Canadian policy and financial circles. This paper compiles more than 20 years of experience conducting the BOS and serves as a comprehensive reference manual. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Risk Scenarios and Macroeconomic Forecasts Staff working paper 2025-28 Kevin Moran, Dalibor Stevanovic, Stéphane Surprenant We produce forecasts for four risk scenarios to consider their usefulness for monitoring the Canadian economy. We find a high-oil-price scenario benefits the economy, a US recession induces a slowdown, a tight labor market leads to price increases, and a restrictive monetary policy scenario increases the unemployment rate while lowering the inflation rate. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, F, F4, F41, F44 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
The Digital Economy—Insight from a Special Survey with IT Service Exporters Staff discussion paper 2016-21 Wei Dong, James Fudurich, Lena Suchanek Information technology (IT) is an increasingly integral part of everyday business and personal life reflecting the ongoing and accelerating digital transformation of the economy. In this paper, we present information gathered from a survey with export-oriented firms in the Canadian IT service industry and consultations with industry associations aimed at shedding light on this small but highly dynamic sector. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, D22, L, L8, L86, O, O3, O33 Research Theme(s): Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness
October 22, 2006 ToTEM: The Bank of Canada's New Projection and Policy-Analysis Model Bank of Canada Review - Autumn 2006 Paul Fenton, Stephen Murchison The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward. Content Type(s): Publications, Bank of Canada Review articles
Competing Currencies in the Laboratory Staff working paper 2017-53 Janet Hua Jiang, Cathy Zhang We investigate competition between two intrinsically worthless currencies as a result of decentralized interactions between human subjects. We design a laboratory experiment based on a simple two-country, two-currency search model to study factors that affect circulation patterns and equilibrium selection. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, C92, D, D8, D83, E, E4, E40 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Economic models, Money and payments, Digital assets and fintech
Assessing tariff pass-through to consumer prices in Canada: Lessons from 2018 Staff analytical note 2025-18 Alexander Lam US trade protectionism is making the economic outlook increasingly uncertain. To assess how consumer prices may respond to tariffs, we examine a tariff episode from 2018 using detailed microdata and the synthetic control method. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E3, E30, E31, F, F1, F10, F13, F14 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, International trade, finance and competitiveness
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks Staff working paper 2025-10 Zhentong Lu, Kenichi Shimizu We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C3, D, D1, L, L0, L00 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
December 9, 2010 Central Counterparties and Systemic Risk Financial System Review - December 2010 Eric Tuer, Nicholas Labelle, Nikil Chande Content Type(s): Publications, Financial System Review articles
Demand for Payment Services and Consumer Welfare: The Introduction of a Central Bank Digital Currency Staff working paper 2020-7 Kim Huynh, Jozsef Molnar, Oleksandr Shcherbakov, Qinghui Yu Using a two-stage model, we study the determinants of Canadian consumers’ choices of payment method at the point of sale. We estimate consumer preferences and adoption costs for various combinations of payment methods. We analyze how introducing a central bank digital currency would affect the market equilibrium. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, E, E4, E42, L, L1, L14, L5, L52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Money and payments, Digital assets and fintech, Retail payments
An Optimal Macroprudential Policy Mix for Segmented Credit Markets Staff working paper 2021-31 Jelena Zivanovic How can macroprudential policy and monetary policy stabilize segmented credit markets? Is there a trade-off between financial stability and price stability? I use a theoretical model to evaluate the performance of alternative policies and find the optimal mix of macroprudential and monetary policy in response to aggregate shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E30, E4, E44, E5, E50 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation