E37 - Forecasting and Simulation: Models and Applications

• IMPACT: The Bank of Canada’s International Model for Projecting Activity

  Technical Report No. 116 Patrick Blagrave, Claudia Godbout, Justin-Damien Guénette, René Lalonde, Nikita Perevalov

  We present the structure and features of the International Model for Projecting Activity (IMPACT), a global semi-structural model used to conduct projections and policy analysis at the Bank of Canada. Major blocks of the model are developed based on the rational error correction framework of Kozicki and Tinsley (1999), which allows the model to strike a balance between theoretical structure and empirical performance.

  Content Type(s): Technical Reports Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Economic models, International topics JEL Code(s): C, C6, C68, E, E2, E27, E3, E37, F, F0, F01, F3, F32, F4, F47

• How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections

  Staff Discussion Paper 2019-6 Olivier Gervais

  We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

  Content Type(s): Staff Research, Staff Discussion Papers Topic(s): Business fluctuations and cycles, International topics JEL Code(s): C, C2, C22, C5, E, E3, E37, Q, Q4, Q43

• Assessing the Resilience of the Canadian Banking System

  Staff Analytical Note 2019-16 Charles Gaa, Xuezhi Liu, Cameron MacDonald, Xiangjin Shen

  The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy.

  Content Type(s): Staff Research, Staff Analytical Notes Topic(s): Financial Institutions, Financial stability JEL Code(s): C, C6, C63, E, E2, E27, E3, E37, E4, E44, G, G0, G01, G2, G21

• Potential Output in Canada: 2019 Reassessment

  Staff Analytical Note 2019-10 Dany Brouillette, Julien Champagne, Carol Khoury, Natalia Kyui, Jeffrey Mollins, Youngmin Park

  Potential output is expected to grow on average at 1.8 per cent over 2019–21 and at 1.9 per cent in 2022. While the contribution of trend labour input to potential output growth is expected to decrease between 2019 and 2022, the contribution of trend labour productivity is projected to increase.

  Content Type(s): Staff Research, Staff Analytical Notes Topic(s): Labour markets, Potential output, Productivity JEL Code(s): E, E0, E00, E2, E22, E23, E24, E3, E37, E6

• 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 Topic(s): Financial Institutions, Financial stability, Housing JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G2, G21

• 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): Technical Reports 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

• 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 Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary Policy JEL Code(s): C, C3, C32, E, E1, E17, E3, E37

• Sluggish Forecasts

  Staff Working Paper 2018-39 Monica Jain

  Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts.

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): E, E3, E31, E37

• Nowcasting Canadian Economic Activity in an Uncertain Environment

  Staff Discussion Paper 2018-9 Tony Chernis, Rodrigo Sekkel

  This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.

  Content Type(s): Staff Research, Staff Discussion Papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E37, E5, E52

• On the Evolution of the United Kingdom Price Distributions

  Staff Working Paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov

  We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK).

  Content Type(s): Staff Research, Staff Working Papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37