Anticipated Technology Shocks: A Re‐Evaluation Using Cointegrated Technologies Staff working paper 2017-11 Joel Wagner Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
Estimating the Impacts of Tariff Changes: Two Illustrative Scenarios Staff analytical note 2018-29 Karyne B. Charbonneau, Anthony Landry We build upon new developments in the international trade literature to construct a quantitative Ricardian framework similar to Caliendo and Parro (2015) to isolate and estimate the long-run economic impacts of tariff changes. Content Type(s): Staff research, Staff analytical notes JEL Code(s): F, F1, F11, F13, F14, F15, F5, F50, F6, F62, F68 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Expropriation Risk and FDI in Developing Countries: Does Return of Capital Dominate Return on Capital? Staff working paper 2017-9 M. Akhtaruzzaman, Nathan Berg, Christopher Hajzler Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D23, F, F2, F21, F23 Research Theme(s): Financial system, Financial stability and systemic risk, Structural challenges, International trade, finance and competitiveness
Amazon Effects in Canadian Online Retail Firm-Product-Level Data Staff working paper 2019-42 Alex Chernoff I use firm-product-level data for Canadian online retailers to study how product scope (the average number of product categories per firm) evolved from 1999 to 2012. During this period, product scope dropped monotonically from 59 to 5 product categories. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, L, L1, L11, L8, L81 Research Theme(s): Structural challenges, Digitalization and productivity, International trade, finance and competitiveness
The Welfare Cost of Inflation Revisited: The Role of Financial Innovation and Household Heterogeneity Staff working paper 2018-40 Shutao Cao, Césaire Meh, José-Víctor Ríos-Rull, Yaz Terajima We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings). Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E4, E41 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Household Risk Assessment Model Technical report No. 106 Brian Peterson, Tom Roberts Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level. Content Type(s): Staff research, Technical reports JEL Code(s): C, C0, C6, C63, C65, D, D0, D1, D14 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting
Strategic Complementarities and Money Market Fund Liquidity Management Staff working paper 2017-14 Jonathan Witmer Following the financial crisis, there has been increased regulatory focus on the management of liquidity in mutual funds and, specifically, whether funds hold enough liquidity to guard against the potential for investor runs. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F3, F30, G, G0, G01, G1, G18, G2, G20 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Decomposing Systemic Risk: The Roles of Contagion and Common Exposures Staff working paper 2024-19 Grzegorz Halaj, Ruben Hipp We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C5, C51, G, G2, G21, L, L1, L14 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
Trade and Market Power in Product and Labor Markets Staff working paper 2021-17 Gaelan MacKenzie Trade liberalizations increase the sales and input purchases of productive firms relative to their less productive domestic competitors. This reallocation affects firms’ market power in their product and input markets. I quantify how the labour market power of employers affects the distribution and size of the gains from trade. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D43, F, F1, F12, F6, J, L, L1, L13 Research Theme(s): Financial markets and funds management, Market structure, Structural challenges, International trade, finance and competitiveness
Predictive Density Combination Using a Tree-Based Synthesis Function Staff working paper 2023-61 Tony Chernis, Niko Hauzenberger, Florian Huber, Gary Koop, James Mitchell This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting