An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework Staff discussion paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Economic models, Potential output JEL Code(s): C, C5, E, E0, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
Modelling the Macrofinancial Effects of a House Price Correction in Canada Staff analytical note 2018-36 Thibaut Duprey, Xuezhi Liu, Cameron MacDonald, Maarten van Oordt, Sofia Priazhkina, Xiangjin Shen, Joshua Slive We use a suite of risk-assessment models to examine the possible impact of a hypothetical house price correction, centred in the Toronto and Vancouver areas. We also assume financial stress significantly amplifies the macroeconomic impact of the house price decline. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial institutions, Financial stability, Housing JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G2, G21 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models
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 Research Topic(s): Economic models, Financial institutions, Financial stability, Housing 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
Non-Performing Loans, Fiscal Costs and Credit Expansion in China Staff working paper 2018-53 Huixin Bi, Yongquan Cao, Wei Dong This paper studies how the credit expansion policy pursued by the Chinese government in an effort to stimulate its economy in the post-crisis period affects bank–firm loan contracts and the macroeconomy. We build a structural model with financial frictions in which the optimal loan contract reflects the trade-off between leverage and the probability of default. Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Fiscal policy, International topics JEL Code(s): E, E4, E44, E6, E62 Research Theme(s): Financial system, Financial institutions and intermediation, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
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 Research Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary policy 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 Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary and financial indicators, Recent economic and financial developments 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
Introducing a Systematic Measure of Idiosyncratic Prices Staff analytical note 2018-33 Madigan Dockrill, Laurence Savoie-Chabot There is a risk that Bank of Canada staff may inadvertently be biased when analyzing inflation: when inflation surprises on the downside, staff might emphasize negative idiosyncratic factors. When inflation surprises on the upside, staff might emphasize the positive idiosyncratic factors. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Inflation and prices, Recent economic and financial developments JEL Code(s): E, E3, E31 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures
Price Selection Staff working paper 2018-44 Carlos Carvalho, Oleksiy Kryvtsov We propose a simple, model-free way to measure selection in price setting and its contribution to inflation dynamics. The proposed measure of price selection is based on the observed comovement between inflation and the average level from which adjusting prices depart. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Inflation and prices, Monetary policy transmission JEL Code(s): E, E3, E31, E5, E51 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Market Size and Entry in International Trade: Product Versus Firm Fixed Costs Staff working paper 2018-43 Walter Steingress This paper develops a theoretical framework to infer the nature of fixed costs from the relationship between entry patterns in international markets and destination market size. If fixed costs are at the firm level, firms take advantage of an intrafirm spillover by expanding firm-level product range (scope). Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, International topics, Trade integration JEL Code(s): F, F1, F12, F14, F2, F23 Research Theme(s): Models and tools, Economic models, Structural challenges, International trade, finance and competitiveness
Weakness in Non-Commodity Exports: Demand versus Supply Factors Staff analytical note 2018-28 José Dorich, Vadym Lepetyuk, Jonathan Swarbrick We use the Terms-of-Trade Economic Model (ToTEM) to conduct demand- and supply-driven simulations, both of which deliver weakness in Canadian non-commodity exports relative to foreign activity in line with recent data. Content Type(s): Staff research, Staff analytical notes Research Topic(s): International topics, Monetary policy, Recent economic and financial developments, Trade integration JEL Code(s): E, E5, E52, F, F1, F10, F14, F17 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness