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The Canadian economy continues to grow at a solid pace, consistent with the Bank’s outlook in the January Monetary Policy Report Update.

In 2005, the Bank of Canada celebrated its 70th anniversary. Since the Bank opened its doors in March 1935, it has evolved into a national institution at the heart of Canada’s economy. We had a lot to celebrate in 2005—particularly our progress over the past 70 yearsand our continuing contribution to the economic and financial well-being of Canadians.

Growth in the global economy began to slow in the fourth quarter of 2007 and the first quarter of 2008. This reflected the effects of the slowdown in the U.S. economy and ongoing dislocations in global financial markets.

The global economy has continued to grow at a robust pace since the July Monetary Policy Report Update.

The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017.

The Canadian economy continues to adjust to major global developments.

At the time of the November 2000 Monetary Policy Report, although signs of the anticipated slowing of the U.S. economy were becoming apparent, the momentum of the global economy was considered strong.

This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.

Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

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.