Search

There is an old saying, “Knowledge is gained from experience, and experience is gained from mistakes.” In Canada, we made our mistakes early and often in the 1970s and 1980s. Our fiscal situation deteriorated sharply, inflation surged to double-digit levels, and a few small regional banks collapsed.

How do outcomes of monetary and fiscal stabilization policies at the zero lower bound change when decision makers have finite planning horizons in the economy? We explore the effects of limited foresight on policy tools and the interaction between monetary and fiscal policy.

I propose a novel method to identify and estimate the macroeconomic effects of forward guidance and large-scale asset purchases (LSAP) for each FOMC announcement. I find that LSAP is more important than forward guidance in influencing output and inflation. LSAP puts upward pressure on short-term yields, so it should always be used in conjunction with forward guidance.

This paper investigates the effects of the continuation of globalization and technological developments on the future of national-level financial markets and trading centres, particularly in smaller countries such as Canada. We foresee the development of a single global market in the most-liquid assets based on equity-market linkages.

We study a model with repeated moral hazard where financial contracts are not fully indexed to inflation because nominal prices are observed with delay as in Jovanovic & Ueda (1997).

The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting.

How important are the benefits of low price-level uncertainty? This paper explores the desirability of price-level path targeting in an estimated DSGE model fit to Canadian data. The policy implications are based on social welfare evaluations.

This issue of the Financial System Review reflects the Bank’s judgment that high household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities remain elevated, policy measures continue to improve the resilience of the financial system. A third vulnerability highlighted in the FSR concerns cyber threats to an interconnected financial system.

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.

We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations.