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Every quarter, the Bank of Canada conducts quarterly consultations with businesses across Canada, referred to as the Business Outlook Survey (BOS). A principal-component analysis conducted by Pichette and Rennison (2011) led to the development of the BOS indicator, which summarizes survey results and is used by the Bank as a gauge of overall business sentiment.

News media present competing interpretations of what breaking news implies for the macroeconomy. Recent examples include news reporting on high inflation and yield curve inversions. Do these narratives shape macroeconomic sentiment? In this paper, we highlight the importance of narratives using evidence linking traditional media and social media.

Portfolio-balance models of the yield curve are notoriously hard to estimate. This paper offers a simple, two-step estimation approach that can be implemented with standard term structure estimation methods. In our application to U.S. Treasury data, our method recovers economically interpretable drivers of the yield curve.

This report discusses the decision not to designate the Automated Clearing Settlement System as a systemically important system, as well as some of the research contributing to that decision.

We find the top 10% of the income distribution accounts for three-quarters of the gap in GDP per adult between Canada and the United States. The large gaps in income for high-income earners help distinguish between alternative explanations of this persistent gap in GDP per adult.

Given technological advances and the widespread use of the Internet, various digital currencies have emerged. In most cases, Internet platforms such as Facebook and Amazon restrict the functionality of their digital currencies to enhance the business model and maximize their profits. While platform-based digital currencies could increase the efficiency of retail payments, they could also raise some important policy issues if they were to become widely used outside of the platform. Thus, it is important to closely monitor the evolution of these digital currencies.

Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans.

We investigate the unintended consequences of the Home Affordable Refinance Program (HARP). Originally designed to help borrowers refinance after the 2008–09 global financial crisis, HARP inadvertently strengthened the market power of incumbent lenders by creating a cost advantage for them. Despite a 2013 policy rectifying this cost advantage, we still find significant welfare losses for borrowers.

We analyze the interaction between committed monetary policy and discretionary fiscal policy in a model with public debt, endogenous government expenditures, distortive taxation and nominal rigidities.

We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.