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Since 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada.

In complex and interconnected banking systems, counterparty risk does not depend only on the risk of the immediate counterparty but also on the risk of others in the network of exposures.

This paper shows (i) that business sentiment, as captured by survey data, matters for monetary policy decisions in Canada, and (ii) how business perspectives are affected by monetary policy shocks. Measures of business sentiment (soft data) are shown to have systematic explanatory power for monetary policy decisions over and above typical Taylor rule variables.

Digital technologies—cloud computing, the Internet of Things, advanced robotics, big data analytics, artificial intelligence and machine learning, social media, 3D printing, augmented reality, virtual reality, e-money and distributed ledgers—are transforming the way busi-nesses operate. How does this transformation compare with past industrial revolutions? How are digital technologies changing production systems across industries? Agile firms that use knowledge intensively and have high levels of both organizational and human capital appear set to realize the greatest benefits from digitalization. Finally, what are the implications for productivity, labour markets, inflation and monetary policy as we transition to the digital economy?

Various drivers of business investment can be used to explain the underwhelming performance of investment in advanced economies since the global financial crisis, particularly since 2014. The slow growth in aggregate demand cannot by itself explain the full extent of the recent weakness in investment, which appears to be linked primarily to the collapse of global commodity prices and a rise in economic uncertainty. Looking ahead, business investment growth is likely to remain slower than in the pre-crisis period, largely because of structural factors such as population aging.

Constrained efficient allocation (CE) is characterized in a model of adverse selection and directed search (Guerrieri, Shimer, and Wright (2010)). CE is defined to be the allocation that maximizes welfare, the ex-ante utility of all agents, subject to the frictions of the environment.

Using data from our 2014 cost-of-payments survey, we calculate resource costs for cash, debit cards and credit cards. For each payment method, we examine the total cost incurred by consumers, retailers, financial institutions and infrastructures, the Royal Canadian Mint and the Bank of Canada.

Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization.

The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost.

Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker.