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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 revisit an old question: how do financial constraints affect the transmission of monetary policy to the real economy? To answer this question, we propose a simple empirical strategy that combines firm-level employment and balance sheet data, identified monetary policy shocks and survey data on financing activities.

This paper explores the impact of extreme weather exposures on the financial outcomes of low-income households. Our findings highlight the heightened financial vulnerability of low-income households to environmental shocks and underscore the need for targeted policies.

Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts.

This paper identifies aggregate financial shocks and quantifies their effects on business investment based on an estimated DSGE model with firm-level heterogeneity. On average, financial shocks contribute only 3% of the variation in U.S. public firms’ aggregate investment.

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.

This paper shows that real effective exchange rate (REER) regressions, the standard approach for estimating the response of aggregate exports to exchange rate changes, imply biased estimates of the underlying elasticities. We provide a new aggregate regression specification that is consistent with bilateral trade flows micro-founded by the gravity equation.

This report presents the details of a new semi-annual survey that will improve the Bank of Canada’s surveillance across the financial system and deepen efforts to engage with financial system participants. The survey collects expert opinions on the risks to and resilience of the Canadian financial system as well as on emerging trends and financial innovations. The report presents an overview of the survey and provides high-level results from the spring 2018 survey.

Starting with the 2020 autumn survey, the results from a question on labour cost growth are being included in the Business Outlook Survey. This document describes the question and presents the correlations between the responses and various measures of wages and employment.

The classical dichotomy predicts that all of the time-series variance in the aggregate real exchange rate is accounted for by non-traded goods in the consumer price index (CPI) basket because traded goods obey the Law of One Price. In stark contrast, Engel (1999) claimed the opposite: that traded goods accounted for all of the variance.