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We study the labour market and welfare effects of expanding unemployment insurance benefits and introducing payroll subsidies during the COVID-19 pandemic. We find that both policies are complementary and are beneficial to different types of workers. Payroll subsidies preserve the employment of workers in highly productive jobs, while unemployment insurance replaces lost income for workers who experience inevitable job loss.

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.

Should unemployment benefits be more generous during economic downturns? The optimal amount and duration of benefit payments ultimately depend on the demographic and wealth characteristics of benefit recipients.

How are your past, current and future earnings related to those of your parents? We explore this by using 37 years of Canadian tax data on two generations.

After COVID-19, we expect potential output growth to stabilize around 1.2 percent. This is lower than the 2010–18 average growth of 1.8 percent. Relative to the April 2019 reassessment, the growth profile is revised down. Given the unknown course of the pandemic, uncertainty around these estimates is higher than in previous years.

Can daycare replace parents’ time spent with children? We explore this by using data on how parents spend time and money on children and how this spending is related to their child’s development.

Bond dealers have traditionally kept bonds in an inventory until clients buy them. But now, dealers have another way to access bonds for their clients: the exchange-traded fund. We discuss this new way to manage bond dealing and what it might mean for bond markets.

Repeated interactions between borrowers and lenders create the possibility of dynamic pricing: lenders compete aggressively with low prices to attract new borrowers and then raise their prices once borrowers have made a commitment. We find such pricing patterns in the Canadian mortgage market.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada.