E37 - Forecasting and Simulation: Models and Applications

• 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