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This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.

Many explanations for the decline in real interest rates over the last 30 years point to the role that population aging or rising income inequality plays in increasing the long-run aggregate demand for assets. Notwithstanding the importance of such factors, the starting point of this paper is to show that the major change driving household asset demand over this period is instead an increased desire—for a given age and income level—to hold assets.

Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks.

This study updates our measure of Canadians' access to cash through automated banking machines and financial institution branches. We find that in 2023 overall access to cash remains stable, while rural Canadians continue having less access.

We ask whether a weaker contribution of information and communication technologies (ICT) to productivity growth could account for the productivity slowdown observed in Canada since the early 2000s. To answer this question, we consider several methods capturing channels through which ICT could affect aggregate productivity growth.

Introduction Thank you for the invitation to be here today. I’m honoured to be part of this panel. It’s been more than seven years since the global financial crisis began, and we’re still coping with its aftermath. One of the consequences of the crisis has been a disruption of financial globalization. Global capital flows—to give […]

Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design.

Production efficiency and financial stability do not necessarily go hand in hand. With heterogeneity in banks’ abilities to screen borrowers, the market for loans becomes segmented and a self-competition mechanism arises. When heterogeneity increases, the intensive and extensive margins have opposite effects.

Unregulated capital flows are likely excessive during a stagflation episode, owing to a macroeconomic externality operating through the economy’s supply side. Inflows raise domestic wages and cause unwelcome upward pressure on firm costs, yet market forces likely generate such inflows. Optimal capital flow management instead requires net outflows.

COVID-19 affects technology adoption: online job postings for technology-related occupations fall less during pandemic lockdowns and pick up faster during reopenings than postings for more traditional occupations.