Search

Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. Timed to feed into the process that precedes the Bank's fixed dates for announcing monetary policy decisions, the consultations (now referred to as the Business Outlook Survey) are structured around a questionnaire which is sent to 100 firms that reflect the Canadian economy in terms of region, type of business activity, and firm size. Martin describes both the consultation process and the questionnaire and makes an initial assessment of the data gathered during the business interviews. The article includes charts and correlation tables that illustrate the responses to the key questions included in the survey.

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.

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.

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.

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 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.

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.

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.

We examine the relationship between firms’ performance and credit constraints affecting export market entry. Using administrative Canadian firm-level data, our findings show that new exporters (a) increase their productivity, (b) raise their leverage ratio and (c) increase investment. We estimate that 48 percent of Canadian manufacturers face binding credit constraints when deciding whether to enter export markets.

This note examines supply-side trends in Canadian non-energy industries and their implications for export performance. Between 2002 and 2016, capital stocks and total labour input declined in many industries that export non-energy goods. These soft trends in the factors of production have likely contributed to the decline in non-energy exports in about half of the goods industries analyzed in this note.