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Aggregate consumption impacts of heightened job risks during recessions can arise either from ex-ante responses to the fear of unemployment or from ex-post consumption declines due to realized income losses. We use survey-based perceptions of job risk and actual labor market transitions to quantify the relative contributions of these two channels. We further show that belief stickiness limits the extent of ex-ante insurance against job risks.

This paper seeks to understand how outward foreign direct investment (FDI) affects the productivity of Canadian firms. We estimate the impact of outward greenfield investment on measures of firm-level productivity using FDI data from roughly 2,000 Canadian firms and more than 4,000 outward FDI projects over the 2003–14 period.

This issue of the Financial System Review reflects the Bank’s judgment that household indebtedness and housing market imbalances–the most important vulnerabilities for the Canadian financial system–have moved higher over the past six months. However, the financial system remains resilient, and macroeconomic conditions continue to improve. Other vulnerabilities discussed in this FSR are fragile fixed-income market liquidity and the capacity of an interconnected financial system to mitigate cyber threats.

We add agency costs as in Carlstrom and Fuerst (1997) into a two-country, two-good international business-cycle model. In our model, changes in the relative price of investment arise endogenously.

We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes.

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.

Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications.

This paper examines how market-perceived AI exposure is associated with extreme financial-sector gains and losses across five markets, using Expected Shortfall and skewness decompositions to distinguish AI-sector, macroeconomic, systemic and financial scenarios.

Specifications of the Federal Reserve target rate that have more realistic features mitigate in-sample over-fitting and are favored in the data.

We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts.