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Immigrants can increase international trade by shifting preferences towards the goods of their country of origin and by reducing bilateral transaction costs. Using geographical variation across U.S. states for the period 2008 to 2013, I estimate the respective causal impact of immigrants on U.S. exports and imports.

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

Occupations held by females with mid-level education face the highest risk of accelerated automation as a result of the COVID-19 pandemic.

This paper studies how the allocation of residual losses affects trading and welfare in a central counterparty. I compare loss sharing under two loss-allocation mechanisms – variation margin haircutting and cash calls – and study the privately and socially optimal degree of loss sharing.

Understanding how much of the increased debt load of Canadian households has been used to finance household spending on consumption and home renovation is important for the conduct of monetary policy. In this article, the authors use a comprehensive data set that provides information on the uses of debt by Canadian households. They first present some facts regarding the evolution of Canadian household debt over the period from 1999 to 2010, emphasizing the increased importance of debt flows that are secured by housing. They then explore how Canadian households have used their borrowed funds over the same period, and assess the role of these borrowed funds in financing total consumption and spending on home renovation. Finally, they examine the possible effects of a decline in house prices on consumption when housing equity is used as collateral against household indebtedness.

Combining various high frequency financial data with central bank projections, I construct a new measure of monetary policy shocks not predictable by the public information preceding a central bank’s announcements. I then study the causal effects of monetary policy on the macro economy.

Over the past 20 years, there has been a major shift away from the use of paper-based retail payment instruments, such as cash and cheques, toward electronic means of payment, such as debit cards and credit cards. Recent Bank of Canada research on consumers’ choice of payment instruments indicates that cash is frequently used for transactions with low values because of its speed, ease of use and wide acceptance, while debit and credit cards are more commonly used for transactions with higher values because of perceived attributes such as safety and record keeping. While innovations in retail payments currently being introduced into the Canadian marketplace could lead to a further reduction in the use of cash over the longer term, the implications for the use of cash of some of the structural and regulatory developments under way are less clear.

We explore the long-run effects of a monetary policy shock in a Heterogeneous Agent New Keynesian model built on the micro evidence that job losses lead to persistently lower individual earnings through a combination of skill decay and abandonment of the labour force.

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.