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731 Results

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 Research Topic(s): Coronavirus disease (COVID-19), Inflation and prices JEL Code(s): D, D2, D22, E, E3, E31, E37

Child Skill Production: Accounting for Parental and Market-Based Time and Goods Investments

Can daycare replace parents’ time spent with children? We explore this by using data on how parents spend time and money on children and how this spending is related to their child’s development.
Content Type(s): Staff research, Staff working papers Research Topic(s): Fiscal policy, Labour markets, Potential output, Productivity JEL Code(s): D, D1, D13, H, H3, H31, J, J2, J22, J24

Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited

Staff Discussion Paper 2007-5 Devin Ball, Walter Engert
Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […]
November 20, 2018

Choosing the Best Monetary Policy Framework for Canada

Remarks Carolyn A. Wilkins McGill University Max Bell School of Public Policy Montréal, Quebec
Senior Deputy Governor Carolyn A. Wilkins discusses public policy issues around monetary policy frameworks and how those issues have become more complex in the post-global financial crisis world.

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.

Monetary Policy Under Uncertainty: Practice Versus Theory

Staff Discussion Paper 2017-13 Rhys R. Mendes, Stephen Murchison, Carolyn A. Wilkins
For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy, Monetary policy and uncertainty JEL Code(s): E, E5, E52, E58, E6, E61, E65

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.
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