Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers Staff working paper 2021-37 Felix Brunner, Ruben Hipp Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C5, C52, E, E2, E23, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Cash and COVID-19: The impact of the second wave in Canada Staff discussion paper 2021-12 Heng Chen, Walter Engert, Marie-Hélène Felt, Kim Huynh, Gradon Nicholls, Daneal O’Habib, Julia Zhu The COVID-19 pandemic significantly increased the demand for cash. Cash in circulation increased sharply from March through December 2020, particularly in the early months of this period. Although use of electronic methods of payment also increased significantly, cash use for payments remains high for low-value transactions and among certain demographic groups. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54 Research Theme(s): Money and payments, Cash and bank notes, Retail payments
Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions Staff working paper 2021-35 Grzegorz Halaj, Sofia Priazhkina Our stress-testing tool considers banks under stress that can strategically manage their balance sheets. Using confidential Canadian supervisory data, we assess whether bank behaviour to maximize shareholder value can amplify a hypothetical stress scenario. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, C7, C72, G, G2, G21 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation
Small and smaller: How the economic outlook of small firms relates to size Staff analytical note 2021-14 Chris D'Souza, James Fudurich, Farrukh Suvankulov Firms with fewer than 100 workers employ about 65 percent of the total labour force in Canada. An online survey experiment was conducted with firms of this size in Canada in 2018–19. We compare the responses of small and micro firms to explore how their characteristics and economic outlooks relate to their size. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Shaping the future: Policy shocks and the GDP growth distribution Staff working paper 2021-24 Francois-Michel Boire, Thibaut Duprey, Alexander Ueberfeldt Can central bank and government policies impact the risks around the outlook for GDP growth? We find that fiscal stimulus makes strong GDP growth more likely—even more so when monetary policy is constrained—rather than weak GDP growth less likely. Thus, fiscal stimulus should accelerate the recovery phase of the COVID-19 pandemic. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C5, C53, E, E5, E52, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Detecting exuberance in house prices across Canadian cities Staff analytical note 2021-9 Ugochi Emenogu, Cars Hommes, Mikael Khan We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C53, R, R2, R21, R3, R31 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
Evolving Temperature Dynamics in Canada: Preliminary Evidence Based on 60 Years of Data Staff working paper 2021-22 Robert Amano, Marc-André Gosselin, Julien McDonald-Guimond Are summers getting hotter? Do daily temperatures change more than they used to? Using daily Canadian temperature data from 1960 to 2020 and modern econometric methods, we provide economists and policy-makers evidence on the important climate change issue of evolving temperatures. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, Q, Q5, Q54 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Climate change
How Long is Forever in the Laboratory? Three Implementations of an Infinite-Horizon Monetary Economy Staff working paper 2021-16 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, C92, D, D8, D83, E, E4, E40 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Occasionally Binding Constraints in Large Models: A Review of Solution Methods Staff discussion paper 2021-5 Jonathan Swarbrick Solving macroeconomic models is difficult. One challenge is the occasionally binding constraint of the zero lower bound on nominal interest rates. This paper reviews various ways to solve models that include this feature. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C6 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
A Generalized Endogenous Grid Method for Default Risk Models Staff working paper 2021-11 Youngsoo Jang, Soyoung Lee Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models