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The Canadian economy continued to expand robustly in 2000 while inflation remained low.

The five articles in this issue present research and analysis by Bank staff covering a variety of topics: the growth of Canadian-dollar-denominated assets in official foreign reserves; the emergence of platform-based digital currencies; methods of forecasting the real price of oil; measures of uncertainty in monetary policy; and the recent performance of the labour market in Canada and the United States.

In 2005, the Bank of Canada celebrated its 70th anniversary. Since the Bank opened its doors in March 1935, it has evolved into a national institution at the heart of Canada’s economy. We had a lot to celebrate in 2005—particularly our progress over the past 70 yearsand our continuing contribution to the economic and financial well-being of Canadians.

During the past six months, global economic uncertainties have intensified, largely as a result of developments in emerging-market economies.

At the time of the November 2000 Monetary Policy Report, although signs of the anticipated slowing of the U.S. economy were becoming apparent, the momentum of the global economy was considered strong.

Since the May Report, the international economic environment has continued to improve. Economic activity abroad grew faster than expected, while inflation in the major economies remained subdued.

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

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.

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.

We study competition for consumer attention, in which platforms can sacrifice service quality for attention. A platform can choose the “addictiveness” of its service.