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The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.

How are regional cost shocks passed through into global prices? We investigate the role of short-run capacity constraints and show that they can induce stark non-linearities in the pass-through. We highlight this effect for the market for ammonia, a commodity produced largely from natural gas.

Innovations in basic information technologies, in payment applications, and in the availability of global markets, as well as substantial changes in financial sector policy, have fundamentally changed how the retail payments system in Canada operates. Principally, the volume and types of electronic payments have grown, and there is increased participation by diverse groups of financial and non-financial institutions as providers of retail payment services. The resulting policy problem for payment systems is how best to benefit from efficiency gains while managing payment risks. O'Connor examines the effect of the technological and legislative changes and the initiatives developed by the public and private sectors in such areas as the market arrangements for services; customer risks and costs for settling large-value retail payments; the security of payment information and the efficiency with which it is transmitted; and the effects of differing regulatory regimes on competition among providers of retail payment services.

Using a closed-economy model, Jensen (2002) and Walsh (2003) have, respectively, shown that a policy regime that optimally targets nominal income growth (NIT) or the change in the output gap (SLT) outperforms a regime that targets inflation, because NIT and SLT induce more inertia in the actions of the central bank, effectively replicating the outcome obtained under precommitment. The author obtains a very different result when the analysis is extended to open-economy models.

We use Bayesian predictive decision synthesis to formalize monetary policy decision-making. We develop a case-study of monetary policy decision-making of an inflation-targeting central bank using multiple models in a manner that considers decision goals, expectations and outcomes.

This issue of the Financial System Review reflects the Bank’s judgment that high household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities remain elevated, policy measures continue to improve the resilience of the financial system. A third vulnerability highlighted in the FSR concerns cyber threats to an interconnected financial system.

Over the past several years, the Bank for International Settlements has noted that Canada’s credit-to-GDP gap has widened and is above thresholds indicating future banking stress.

Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. Timed to feed into the process that precedes the Bank's fixed dates for announcing monetary policy decisions, the consultations (now referred to as the Business Outlook Survey) are structured around a questionnaire which is sent to 100 firms that reflect the Canadian economy in terms of region, type of business activity, and firm size. Martin describes both the consultation process and the questionnaire and makes an initial assessment of the data gathered during the business interviews. The article includes charts and correlation tables that illustrate the responses to the key questions included in the survey.

The arrival of immigrants increases demand for housing and puts upward pressure on shelter prices. Using instrumental variables based on the ancestry composition of residents in US counties, we estimate the causal impact of immigration on local shelter prices.

The authors describe the liabilities model of the Exchange Fund Account (EFA). The EFA is managed using an asset-liability matching framework that requires currency and duration matching of both sides of the balance sheet.