Digitalization: Prices of Goods and Services Staff discussion paper 2023-27 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler This paper outlines and assesses the various channels through which digitalization can affect prices of goods and services. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, E, E3, E31, E5, E52, L, L1, L11 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Digitalization and productivity
Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches Staff analytical note 2018-34 Andrew Lee-Poy In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
Can Media and Text Analytics Provide Insights into Labour Market Conditions in China? Staff working paper 2018-12 Jeannine Bailliu, Xinfen Han, Mark Kruger, Yu-Hsien Liu, Sri Thanabalasingam The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C38, C5, C55, E, E2, E24, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
June 16, 2008 A Money and Credit Real-Time Database for Canada Bank of Canada Review - Summer 2008 Roobina Keshishbanoosy, Pierre St-Amant, Devin Ball, Ivan Medovikov Model-based forecasts of important economic variables are part of the range of information considered for monetary policy decision making. Content Type(s): Publications, Bank of Canada Review articles
February 19, 2015 Inflation, Expectations and Monetary Policy Remarks Agathe Côté Association québécoise des technologies Mont-Tremblant, Quebec Deputy Governor Agathe Côté discusses the importance of inflation expectations for monetary policy and a new survey the Bank of Canada created to monitor household expectations. Content Type(s): Press, Speeches and appearances, Remarks
Noisy Monetary Policy Staff working paper 2018-23 Tatjana Dahlhaus, Luca Gambetti We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Price Caps in Canadian Bond Borrowing Markets Staff analytical note 2019-2 Léanne Berger-Soucy, Jean-Sébastien Fontaine, Adrian Walton Price controls, or caps, can lead to shortages, as 1970’s gasoline price controls illustrate. One million trades show that the market for borrowing bonds in Canada has an implicit price cap: traders are willing to pay no more than the overnight interest rate to borrow a bond. This suggests the probability of a shortage increases when interest rates are very low. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities Staff analytical note 2018-6 Thibaut Duprey When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C11, C15, E, E1, E17, E3, E32, E37, E4, E44, E47, E5, E58, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
The BoC-BoE Sovereign Default Database Revisited: What’s New in 2018? Staff working paper 2018-30 David Beers, Jamshid Mavalwalla Until recently, there have been few efforts to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada’s Credit Rating Assessment Group (CRAG) has developed a comprehensive database of sovereign defaults posted on the Bank of Canada’s website that now is updated in partnership with the Bank of England. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F3, F34, G, G1, G10, G14, G15 Research Theme(s): Financial markets and funds management, Funds management, Financial system, Financial stability and systemic risk
Inflation vs Inclusion: Stabilization Policy in the Wake of the Pandemic Staff working paper 2026-13 Felipe Alves, Giovanni L. Violante As the economy emerges from a crisis, macroeconomic policy confronts a dilemma: a protracted stimulus can foster a more inclusive labor market recovery, yet risks igniting inflation that ultimately undermines workers’ welfare through real income erosion. This tension amplifies in the presence of the ZLB and aggregate capacity constraints. We embed this insight into a quantitative model of the US economy. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E24, E3, E31, E32, E5, E52, J, J2, J24, J6, J64 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission