Posts
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March 16, 2022
Bank of Canada and Massachusetts Institute of Technology announce joint Central Bank Digital Currency collaboration
The Bank of Canada and the Massachusetts Institute of Technology (MIT) today announced an agreement to collaborate on a twelve-month research project on Central Bank Digital Currency (CBDC). -
Household Heterogeneity and the Performance of Monetary Policy Frameworks
Consumption inequality and a low interest rate environment are two important trends in today’s economy. But the implications they may have—and how those implications interact—within different monetary policy frameworks are not well understood. We study the ranking of alternative frameworks that take these trends into account. -
March 7, 2022
Operational details for upcoming secondary market purchases of Government of Canada securities (March 14-25)
As previously announced, the Bank of Canada (the Bank) launched on April 1, 2020 a program to purchase Government of Canada securities in the secondary market – the Government Bond Purchase Program (GBPP). -
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The Central Bank Strikes Back! Credibility of Monetary Policy under Fiscal Influence
Central banks in many advanced economies enjoy a high degree of independence, which protects monetary policy decisions from political influence. But how should independent central banks react if pressured by fiscal policy-makers? We examine whether a central bank should design a monetary policy framework that prescribes acting conditionally on how fiscal policy behaves. -
Macroeconomic Predictions Using Payments Data and Machine Learning
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. -
Central Bank Liquidity Facilities and Market Making
We create a theoretical model of central bank asset purchases. The model helps explain how, in a crisis, these purchases ease pressures on investment dealers. -
Dynamic Privacy Choices
Consumers often express concerns about lack of privacy, but they still give up a lot of data to digital platforms. This paper builds a dynamic game-theoretic model of data collection and privacy protection, which potentially explains consumers’ behaviour.