Dating Systemic Financial Stress Episodes in the EU Countries Staff working paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C54, G, G0, G01, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Untapped Potential: Mobile Device Ownership and Mobile Payments in Canada Staff working paper 2024-25 Marie-Hélène Felt, Angelika Welte, Katrina Talavera We present a two-stage model of mobile phone and mobile payment usage that controls for selectivity. This reveals unobserved factors that work against having a mobile phone and toward mobile paying. Therefore, people who are unable to acquire or choose not to own a mobile device might have unmet payment needs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C39, D, D1, D12, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Retail payments
Downward Nominal Wage Rigidity in Canada: Evidence Against a “Greasing Effect” Staff working paper 2017-31 Joel Wagner The existence of downward nominal wage rigidity (DNWR) has often been used to justify a positive inflation target. It is traditionally assumed that positive inflation could “grease the wheels” of the labour market by putting downward pressure on real wages, easing labour market adjustments during a recession. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E5, E52 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Interbank Asset-Liability Networks with Fire Sale Management Staff working paper 2020-41 Zachary Feinstein, Grzegorz Halaj Raising liquidity when funding is stressed creates pressure on the financial market. Liquidating large quantities of assets depresses their prices and may amplify funding shocks. How do banks weathering a funding crisis contribute to contagion risk? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C62, C63, C7, C72, G, G0, G01, G1, G11 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
The Extensive Margin of Trade and Monetary Policy Staff working paper 2018-37 Yuko Imura, Malik Shukayev This paper studies the effects of monetary policy shocks on firms’ participation in exporting. We develop a two-country dynamic stochastic general equilibrium model in which heterogeneous firms make forward-looking decisions on whether to participate in the export market and prices are staggered across firms and time. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, F, F1, F12, F4, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models? Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, C68, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission
Monetary Policy Under Uncertainty: Practice Versus Theory Staff discussion paper 2017-13 Rhys R. Mendes, Stephen Murchison, Carolyn A. Wilkins For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E61, E65 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19? Staff analytical note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, D12, E, E3, E31, E4, E42, E5, E52 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Money and payments, Payment and financial market infrastructures
March 9, 2010 An Uncertain Past: Data Revisions and Monetary Policy in Canada Bank of Canada Review - Spring 2010 Greg Tkacz Many important economic variables are subject to revision. This article explains how, when, and why such revisions occur; how revisions to Canadian gross domestic product (GDP) compare with GDP revisions in some other countries; which GDP components are subject to the largest revisions; and how data revisions can affect policy decisions. The author finds that revisions to Canadian GDP tend to be smaller, on average, than those of some other countries, and that among the GDP components, exports and imports are most heavily revised. Content Type(s): Publications, Bank of Canada Review articles
Non-competing Data Intermediaries Staff working paper 2020-28 Shota Ichihashi I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D42, D43, D8, D80, L, L1, L12 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models, Money and payments, Digital assets and fintech