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2170 Results

November 17, 2016

Structural Reforms and Economic Growth in Emerging-Market Economies

Growth has slowed in many emerging-market economies (EMEs) since the 2007–09 global financial crisis, reflecting both cyclical and structural factors. In this context, it will be in-creasingly important for EMEs to raise potential growth by maintaining steady progress on structural reforms. How do structural reforms generally support growth? What are the re-form priorities for EMEs over recent history and today? Finally, what will be the impact of planned structural reforms on potential output growth among the world’s larger EMEs? These are some of the questions considered by the authors.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E0, E02, E6, E61, E65, O, O1, O11, O4, O41

Central Bank Digital Currency and Banking Choices

Staff working paper 2024-4 Jiaqi Li, Andrew Usher, Yu Zhu
To what extent does a central bank digital currency (CBDC) compete with bank deposits? To answer this question, we develop and estimate a structural model where each household chooses which financial institution to deposit their digital money with.

A Policy Framework for E-Money: A Report on Bank of Canada Research

Staff discussion paper 2018-5 Mohammad Davoodalhosseini, Francisco Rivadeneyra
We present a policy framework for electronic money and payments. The framework poses a set of positive questions related to the areas of responsibility of central banks: payments systems, monetary policy and financial stability. The questions are posed to four broad forms of e-money: privately or publicly issued, and with centralized or decentralized verification of transactions. This framework is intended to help evaluate the trade-offs that central banks face in the decision to issue new forms of e-money.

AI Paradox: Promise vs. Reality—What It Means for Monetary Policy

Staff analytical paper 2026-4 Joshua Brault, Maryam Haghighi, Jing Yang
This note reviews the emerging evidence on AI’s labour-market and productivity effects, highlighting early task-level impacts, sizable micro level productivity gains, and the macroeconomic challenges these pose for monetary policy during the transition.
August 14, 1999

Passive Money, Active Money, and Monetary Policy

This article by the Bank's visiting economist examines the role of money in the transmission of monetary policy. Professor Laidler argues against the view of money as a passive variable that reacts to changes in prices, output, and interest rates but has no direct causative effect on them. He maintains that the empirical evidence supports the view of money playing an active role in the transmission mechanism. While he agrees that individual monetary aggregates can be difficult to read because of instabilities in the demand-for-money function, he argues that monetary aggregates, particularly those relating to transactions money, should have a more significant place in the hierarchy of policy variables that the Bank considers when formulating monetary policy.

Complementarities Between Fiscal Policy and Monetary Policy—Literature Review

This paper surveys and summarizes the literature on how fiscal policy and monetary policy can complement each other in stabilizing economic activity.
August 19, 2002

Models in Policy-Making

This article examines another strategy in the Bank's approach to dealing with an uncertain world: the use of carefully articulated models to produce economic forecasts and to examine the implications of the various risks to those forecasts. Economic models are deliberate simplifications of a complex world that allow economists to make predictions that are reasonably accurate and that can be easily understood and communicated. By using several models, based on competing paradigms, the Bank minimizes policy errors that could result from relying on one view of the world and one philosophy of model design. The authors review some of the models currently used at the Bank, as well as the role of judgment in the projection process.

AI Agents for Cash Management in Payment Systems

Staff working paper 2025-35 Iñaki Aldasoro, Ajit Desai
Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.
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