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Would a shift in trading in fixed-income markets—from over the counter (bilateral trading) to a centralized electronic platform—improve welfare? We use trade-level data on the secondary market for Government of Canada debt to answer this question.

Uncertainty about the level of future inflation adversely affects the economy because it distorts the savings and investment decisions of households and businesses. Since these decisions typically involve planning horizons of many years, the adverse effects from inflation uncertainty can be reduced by adopting a policy framework that makes future inflation more predictable over long time horizons. When the inflation-control target was renewed in May 2001, the agreement affirmed that monetary policy will be directed at moving inflation to the 2 per cent midpoint of the target range over a six-to-eight-quarter horizon. The author describes how this policy commitment increases the predictability of average inflation over periods longer than one year. This relationship is illustrated using the Canadian experience from the inflation-targeting period.

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.

We document that the structure of syndicates affects loan renegotiations. Lead banks with large retained shares have positive effects on renegotiations. In contrast, more diverse syndicates deter renegotiations, but only for credit lines.

We examine loan insurance—credit risk transfer upon origination—in a model in which lenders can screen, learn loan quality over time, and can sell loans. Some lenders with low screening ability insure, benefiting from higher market liquidity of insured loans while forgoing the option to exploit future information about loan quality.

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.

We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

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.