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This paper looks at the role mortgage brokers play in helping borrowers generate quotes and qualify for credit. We find that, on average, borrowers that engage with a mortgage broker pay lower interest rates. However, in about 15% of cases, borrowers are steered towards longer amortizing mortgages than they would have chosen absent a broker. Since mortgages with longer amortization have higher total interest costs over the entire life of the mortgage, this steering is expensive.

Declining labour market dynamism of workers results in an increasing wedge between their earnings and their marginal product as they age. This wedge and the demographic shift in the earnings shares of older workers can account for 59% of the decline in labor’s share of earnings in the United States.

We investigate the welfare consequences of consumer credit regulation in a dynamic, heterogeneous-agent model with endogenous lender market power. Lenders post credit offers and borrowers—some informed and others uninformed—apply for credit. We calibrate the model to match characteristics of the unsecured consumer credit market and use the calibrated model to evaluate interest rate ceilings.

The Bank of Canada’s Merchant Acceptance Survey finds that 96% of small and medium-sized businesses in Canada accepted cash in 2023. Acceptance of debit and credit cards has increased to 89%, and acceptance of digital payments has also increased. However, Canada is far from being a cashless society.

In this issue of the Financial System Review, the Bank of Canada’s Governing Council judges that, although the Canadian finan­cial system is currently on a sound footing, risks to its stability remain elevated and have edged higher since December 2010.

Deputy Governor Lawrence Schembri discusses pension funds and financial stability.

Governor Mark Carney discusses the key elements of Canada’s inflation-targeting regime.

Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach.

We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model.

The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.