On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity Staff working paper 2020-42 Ruben Hipp Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C3, C32, C5, C58, L, L1, L14 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Cyclicality of Schooling: New Evidence from Unobserved Components Models Staff working paper 2020-38 Barbara Sadaba, Sunčica Vujič, Sofia Maier What is the time-varying impact of economic cycles on decisions to invest in human capital? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E3, I, I2, J, J2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Predicting Payment Migration in Canada Staff working paper 2020-37 Anneke Kosse, Zhentong Lu, Gabriel Xerri Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, E, E4, E42, G, G1, G2, G28 Research Theme(s): Money and payments, Payment and financial market infrastructures, Retail payments
Canadian Financial Stress and Macroeconomic Conditions Staff discussion paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Real economy and forecasting
Endogenous Time Variation in Vector Autoregressions Staff working paper 2020-16 Danilo Leiva-Leon, Luis Uzeda We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Exploring Wage Phillips Curves in Advanced Economies Staff discussion paper 2019-8 Rose Cunningham, Vikram Rai, Kristina Hess We investigate the extent to which excess supply (demand) in labour markets contributes to a lower (higher) growth rate of average nominal wages for workers. Using panel methods on data from 10 advanced economies for 1992–2018, we produce reduced-form estimates of a wage Phillips curve specification that is consistent with a New Keynesian framework. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C33, E, E3, E31, E32 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Demographics and labour supply
The Framework for Risk Identification and Assessment Technical report No. 113 Cameron MacDonald, Virginie Traclet Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks). Content Type(s): Staff research, Technical reports JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models
Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts Staff working paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E1, E17, E3, E37 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches Staff analytical note 2018-34 Andrew Lee-Poy In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models
Disaggregating Household Sensitivity to Monetary Policy by Expenditure Category Staff analytical note 2018-32 Tony Chernis, Corinne Luu Because the Bank of Canada has started withdrawing monetary stimulus, monitoring the transmission of these changes to monetary policy will be important. Subcomponents of consumption and housing will likely respond differently to a monetary policy tightening, both in terms of the aggregate effect and timing. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C32, E, E2, E21, E22, E4, E43, E47, E5, E52 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting