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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.

This report reviews the use of quantitative tools to gauge market participants’ assessment of banking system resilience. These measures complement traditional balance-sheet metrics and suggest that markets consider large Canadian banks to be better placed to weather adverse shocks than banks in other advanced economies. Compared with regulatory capital ratios, however, the measures suggest less improvement in banking system resilience since the pre-crisis period.

We estimate the effects of economic uncertainty on time use and discuss its macroeconomic implications. We develop a model to demonstrate that substitution between market and non-market work provides an additional insurance margin to households, weakening precautionary savings and labour supply and lowering aggregate demand, ultimately amplifying the contractionary effects of uncertainty.

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.

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.

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.

Monetary theory says that money is essential if it helps to achieve better incentive-feasible outcomes. We test this in the laboratory.

The Reports section of the Financial System Review examines selected issues of relevance to the Canadian and global financial systems. The June 2014 issue features three reports on financial system initiatives: making financial benchmarks more robust; implementing the stronger Basel III capital and liquidity framework for banks; and using stress tests to assess financial system risks.

We study how different types of monetary policy shape the distributional effects of external economic shocks on households’ consumption in a small open economy. Our results present a trade-off between maintaining overall stabilization and controlling consumption inequality.