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
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
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
November 14, 2013 Bank of Canada Review - Autumn 2013 The three articles in this issue provide an overview of the monetary policy decision-making process at the Bank of Canada, a discussion of Bank research on the assessment of vulnerabilities in the financial system and a description of recent fragmentation in Canadian equity markets. Content Type(s): Publications, Bank of Canada Review
Beating the “pros” with a semi-structural model of their own inflation forecasts Staff working paper 2026-11 Sergio A. Lago Alves, Waldyr Dutra Areosa, Carlos Viana de Carvalho How can Surveys of Professional Forecasters (SPF) be used to improve inflation forecasts? By using US historical quarterly data on SPF forecasts, we provide better understanding of how we can use forecast disagreement to improve our own forecasts. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C5, C53, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, 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
Consumers’ Path to Mortgage Delinquency Staff analytical paper 2026-3 Laura Zhao, Jia Qi Xiao, Aidan Witts Analyzing TransUnion data from 2015–2024, this study identifies a systematic timeline of distress where rising credit utilization and non-mortgage arrears precede mortgage delinquency by up to two years. This deterioration intensifies in the final six months, providing a robust suite of high-frequency indicators for monitoring emerging household stress. Content Type(s): Staff research, Staff analytical paper JEL Code(s): D, D1, D14, G, G2, G21, G5, G51 Research Theme(s): Financial system, Financial system regulation and oversight, Household and business credit
June 13, 2013 The Market for Collateral: The Potential Impact of Financial Regulation Financial System Review - June 2013 Jorge Cruz Lopez, Royce Mendes, Harri Vikstedt Content Type(s): Publications, Financial System Review articles
Is the Discretionary Income Effect of Oil Price Shocks a Hoax? Staff working paper 2017-50 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou The transmission of oil price shocks has been a question of central interest in macroeconomics since the 1970s. There has been renewed interest in this question after the large and persistent fall in the real price of oil in 2014–16. In the context of this debate, Ramey (2017) makes the striking claim that the existing literature on the transmission of oil price shocks is fundamentally confused about the question of how to quantify the effect of oil price shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, Q, Q4, Q43 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Lending Standards, Productivity and Credit Crunches Staff working paper 2019-25 Jonathan Swarbrick We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E22, E3, E32, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting