E37 - Forecasting and Simulation: Models and Applications

• Macroeconomic Predictions Using Payments Data and Machine Learning

  Staff Working Paper 2022-10 James Chapman, Ajit Desai

  We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

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

• What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data

  Staff Working Paper 2021-52 Alberto Cavallo, Oleksiy Kryvtsov

  Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.

  Content Type(s): Staff research, Staff working papers Topic(s): Coronavirus disease (COVID-19), Inflation and prices JEL Code(s): D, D2, D22, E, E3, E31, E37

• Potential output and the neutral rate in Canada: 2021 update

  Staff Analytical Note 2021-6 Dany Brouillette, Guyllaume Faucher, Martin Kuncl, Austin McWhirter, Youngmin Park

  We expect potential output growth to be higher than in the October 2020 reassessment. By 2024, growth will be slightly above its average growth from 2010 to 2019. We assess that the Canadian nominal neutral rate continues to lie in the range of 1.75 to 2.75 percent.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Economic models, Interest rates, Labour markets, Monetary policy, Potential output, Productivity JEL Code(s): E, E2, E23, E24, E3, E37, E4, E43, E5, E52

• A Generalized Endogenous Grid Method for Default Risk Models

  Staff Working Paper 2021-11 Youngsoo Jang, Soyoung Lee

  Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Credit risk management JEL Code(s): C, C6, C63, E, E3, E37

• 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. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

  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