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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.

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.

This paper studies the effects of financial development, taking into account both formal and informal financing. Using cross-country firm-level data, we document that informal financing is utilized more by rich countries than poor countries.

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 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.

The degree to which financial constraint is binding is often not directly observable in commonly used business data sets (e.g., Compustat). In this paper, we measure and estimate the likelihood of a firm being constrained by external financing using a data set of small- and medium-sized Canadian firms.

The Canadian dollar has declined against the US dollar since October 2024, mostly due to rising uncertainty around trade policies. A widening differential in policy interest rates between the two countries has also played a modest role.

We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.

The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of investment counterparties. Traditionally, foreign exchange reserve and asset managers have relied on credit rating agencies (CRAs) as the main source for credit assessments.

This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.