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Recent evidence suggests that the extent of downward nominal wage rigidity (DNWR) in the Canadian labour market has risen following the 2008–09 recession (see Brouillette, Kostyshyna and Kyui 2016).

This paper introduces heterogeneous beliefs among households in a small open economy model for the Canadian economy. The model suggests that simultaneous boom-bust cycles in house prices, output, investment, consumption and hours worked emerge when credit-constrained mortgage borrowers expect that future house prices will rise and this expectation is neither shared by savers nor realized ex-post.

The first step in designing effective policies to stabilize an economy is to understand business cycles. No country is isolated from the world economy and external shocks are becoming increasingly important.

Price controls, or caps, can lead to shortages, as 1970’s gasoline price controls illustrate. One million trades show that the market for borrowing bonds in Canada has an implicit price cap: traders are willing to pay no more than the overnight interest rate to borrow a bond. This suggests the probability of a shortage increases when interest rates are very low.

The author develops a twin crisis model featuring multiple banks.

Real rigidities are an important feature of modern sticky price models and are policy-relevant because of their welfare consequences, but cannot be structurally identified from time series. I evaluate the plausibility of capital specificity as a source of real rigidities using a two-dimensional generalized (s,S) model calibrated to micro evidence.

This paper empirically determines why, during the 1990s, inflation in Canada was consistently more stable than predicted by the fixed-coefficients Phillips curve. A time-varying-coefficient model, where all the parameters adjust simultaneously, shows that the behaviour of expectations was probably a major contributing factor.

Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]

We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.

This article describes experimental economics, in general, and new developments in experimental macroeconomics, in particular. The approach has a clear niche in providing evidence on economic phenomena that cannot be observed directly or that are difficult to measure. Experimental work conducted by Bank of Canada economists has shed light on a number of issues important to monetary policy, such as the relative efficacy between price-level and inflation targeting, and the nature of inflation expectations formation.