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The Bank of Canada has played an integral role in Canadian society for 70 years. When the Bank opened its doors in the spring of 1935, this country was struggling to define itself and to survive the economic and social turmoil of the Great Depression. Like Canada’s economy, its central bank has evolved and grown over the years. It has faced critical challenges and embraced change. But the Bank’s mandate has not changed. It is now, as it was then, to provide an effective, national monetary authority for Canada.

This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.

In the year just ended, the global economy faced a number of exceptional challenges, reflecting a wide range of economic, financial, and geopolitical risks and uncertainties. These included the fallout from the September 2001 terrorist attacks, corporate accounting scandals, stock market volatility, and developments in the Middle East. Despite this global backdrop, the Canadian economy outperformed virtually all other industrial economies, growing by about 3 1/4 per cent and creating 560,000 jobs, while inflation expectations remained well anchored to the Bank of Canada’s 2 per cent inflation-control target.

We model non-bank entry into fixed-income markets and state-dependent liquidity. Non-bank financial institutions improve liquidity more during normal times than in stress. Banks may become less reliable to marginal clients, exacerbating the difference in liquidity between normal and stressed times. Central bank lending during stress may limit this harmful division.

Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.

Exporters frequently change their market destinations. This paper introduces a new approach to identifying the drivers of these decisions over time. Analysis of customs data from China and the UK shows most changes are driven by demand rather than supply-related shocks.

Growth in the global economy began to slow in the fourth quarter of 2007 and the first quarter of 2008. This reflected the effects of the slowdown in the U.S. economy and ongoing dislocations in global financial markets.

There have been a number of significant economic and financial developments since the time of the July Monetary Policy Report Update.

The COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.