E37 - Forecasting and Simulation: Models and Applications

• Qualitative Field Research in Monetary Policy Making

  Staff Discussion Paper 2021-1 Chris D'Souza, Jane Voll

  Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Business fluctuations and cycles, Monetary policy, Monetary policy and uncertainty JEL Code(s): C, C8, C83, E, E3, E37, E5, E52

• Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

  Staff Working Paper 2021-2 James Chapman, Ajit Desai

  We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. We find this approach yields a significant increase in forecasting precision over a linear benchmark model. This model can help policy-makers before official data are released.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52

• Potential output in Canada: 2020 reassessment

  Staff Analytical Note 2020-25 Dany Brouillette, Julien Champagne, Julien McDonald-Guimond

  After COVID-19, we expect potential output growth to stabilize around 1.2 percent. This is lower than the 2010–18 average growth of 1.8 percent. Relative to the April 2019 reassessment, the growth profile is revised down. Given the unknown course of the pandemic, uncertainty around these estimates is higher than in previous years.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Labour markets, Potential output, Productivity JEL Code(s): E, E0, E00, E2, E23, E24, E3, E37, E6

• Forward Guidance and Expectation Formation: A Narrative Approach

  Staff Working Paper 2020-40 Christopher S. Sutherland

  How exactly does forward guidance influence interest rate expectations?

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Monetary policy, Monetary policy communications, Monetary policy transmission JEL Code(s): D, D8, D83, D84, E, E3, E37, E5, E52, E58

• 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): Staff research, 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): Staff research, 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