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Just before the pandemic began, the Bank of Canada conducted the 2020 Wage-Setting Survey. The goal was to explore the unusual trend of subdued wage growth in 2018 and 2019 despite a tightening in the labour market. Although this wage puzzle was beginning to resolve at the time of the survey, results highlight changes in several factors that may have important impacts on wage dynamics.

For five years, the research program here at Schulich has helped to support and nurture a Canadian academic community focused on financial services. In doing so, the program has encouraged researchers to fill the gaps in our knowledge and help policy-makers and regulators to do a better job. After five years, it's useful to think back and recall the motivations for establishing this program in the first place.

How might one simulate a million realistic income paths and compute their statistical moments in under a second? Using CUDA-based methods to estimate the Canadian earnings process, I find that the distribution of labour income growth is sharply peaked with heavy tails—similar to that in the United States.

The financial system makes an important contribution to the welfare of all Canadians. The ability of households and firms to confidently hold and transfer financial assets is one of the fundamental building blocks of the Canadian economy.

This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.

Annual research grants for a term of up to two years.

A database of historical Government of Canada zero-coupon yield curves developed at the Bank of Canada is introduced in this article, which also includes an initial statistical analysis of the behaviour and evolution of the zero-coupon interest (spot) rates over the full period and two distinct subperiods. Specific areas of interest include the evolution of the levels of key interest rates and yield-curve measures over the sample as well as daily changes in the key interest rates and the yield-curve measures; the identification of a relatively small number of factors that drove the evolution of the yield curve; and the total returns that would have been realized by holding bonds of different maturities for a given holding period.

This article examines four indicators of balance-sheet risks—leverage, capital, asset liquidity and funding—among different types of financial institutions in Canada over the past three decades. It also discusses relevant developments in the banking sector that could have contributed to the observed dynamics. The authors find that the various risk indicators decreased during the period for most of the non-Big Six financial institutions, but remained relatively unchanged for the Big Six banks. In addition, the balance-sheet risk indicators became more heterogeneous across financial institutions. The observed overall decline and increased heterogeneity follow certain regulatory changes, such as the introduction of the liquidity guidelines on funding in 1995 and the implementation of bank-specific leverage requirements in 2000. Given that these regulations required more balance-sheet risk management, they have likely contributed to the increased resilience of the banking sector.

The present paper shows that, everything else equal, some transactions to transfer portfolio credit risk to third-party investors increase the insolvency risk of banks. This is particularly likely if a bank sells the senior tranche and retains a sufficiently large first-loss position.

This paper studies the effects of financial development, taking into account both formal and informal financing. Using cross-country firm-level data, we document that informal financing is utilized more by rich countries than poor countries.