Total factor productivity growth projection for Canada: A sectoral approach Staff analytical note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D24, J, J1, J11, O, O3, O33, Q, Q5, Q54 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Climate change, Demographics and labour supply, Digitalization and productivity
Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement Staff working paper 2017-27 Alex Chernoff This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization. Content Type(s): Staff research, Staff working papers JEL Code(s): N, N6, N61, O, O1, O14, R, R1, R13 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications Staff working paper 2017-36 Hélène Desgagnés I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, E4, E44, E47, E6, E60, G, G2, G21, G23, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models
The Heterogeneous Effects of COVID-19 on Canadian Household Consumption, Debt and Savings Staff working paper 2020-51 James (Jim) C. MacGee, Thomas Michael Pugh, Kurt See The impact of COVID-19 on Canadian households’ debt and unplanned savings varies by household income. Low-income and high-income households accrued unplanned savings, while middle-income households tended to accumulate more debt. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E24, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting
The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News Staff working paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, E, E4, E44, G, G1, G14, G15, Q, Q4, Q41, Q43 Research Theme(s): Financial markets and funds management, International markets and currencies, Market functioning, Monetary policy, Inflation dynamics and pressures
October 26, 2018 Staff economic projections These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.
An Empirical Analysis of Bill Payment Choices Staff working paper 2021-23 Anneke Kosse How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D9, G, G2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
December 23, 2003 Financial System Review - December 2003 This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it. Content Type(s): Publications, Financial Stability Report
Macroeconomic Predictions Using Payments Data and Machine Learning Staff working paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments
Redistributive Effects of a Change in the Inflation Target Staff analytical note 2017-13 Robert Amano, Thomas J. Carter, Yaz Terajima In light of the financial crisis and its aftermath, several economists have argued that inflation-targeting central banks should reconsider the level of their inflation targets. While the appropriate level for the inflation target remains an open question, it’s important to note that any transition to a new target would entail certain costs. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E5, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting