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The ratio of non-financial corporate debt to gross domestic product in Canada has increased noticeably in recent years and is currently at an all-time high. In light of this development, we use a unique firm-level dataset to construct vulnerability indicators for the non-financial corporate sector in Canada.

We examine the economic implications of border carbon adjustments (BCAs) for Canada. We find that, BCAs, in the form of import tariffs, reduce Canada’s carbon leakage and improve its competitiveness when Canada is part of a broad coalition of BCA-implementing countries. Welfare also improves when tariff revenues are transferred to households.

This note investigates the relationship between crude oil prices and investment in the energy sector. We employ a set of vector autoregression (VAR) models (unconstrained VAR, vector error-correction and Bayesian VAR) to formalize the relationship between the West Texas Intermediate (WTI) benchmark and fixed-asset cash spending in the oil and gas extraction and support activities sector of the Canadian economy.

Recent consumer and merchant surveys show a decrease in the use of cash at the point of sale. Increasingly, consumers and merchants have access to a growing array of payment innovations as substitutes for cash.

Narrow Money—Transactions Money The growth rate of the narrow monetary aggregates picked up in 1999, reflecting the expansion in economic activity and the stabilization of interest rates. The sharp acceleration of the narrow aggregates in recent months suggests buoyant growth in GDP in coming quarters. Signs of a possible rise in inflation are also emerging. Over the longer run, for inflation to remain in the Bank's 1 to 3 per cent target range, the growth of narrow money would have to slow down from its current pace. In 1999, the growth rate of M1 also began to converge with that of the other narrow aggregates, M1+ and M1++. This suggests that the influence of the special factors that have been affecting the growth rate of M1 has diminished. Broad Money—"Store of Value" Household savings represent deferred consumption, and therefore the broad monetary aggregate provides information about future spending and, hence, inflation. In 1999, the very broad measure of money, M2++, grew at much the same rate as it did in 1998. This outcome is in line with inflation remaining in the inflation-control target range over the next couple of years.

Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

Deputy Governor Tim Lane discusses the implications of climate change—and actions to address it—for Canada’s economy and financial system.

Consumers’ perceptions of current inflation remain elevated and are diverging from actual inflation. Perceptions of high inflation are also leading to persistently high expectations for inflation over the next 12 months. Consumers’ expectations for interest rates one year from now also remain high, and many consumers believe that the impacts of higher interest rates on their household spending are far from over. Homeowners with a variable-rate mortgage are more likely than other consumers to report being worse off due to high interest rates. Consumers’ plans to purchase services, such as vacations or concerts, are more widespread than plans to make major purchases of goods that are likely to be financed with loans, such as vehicles or appliances. Workers are reporting signs of job market cooling, such as more time spent looking for a new job, but they remain confident about the labour market.

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them.