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This study examines the effect of nominal-wage rigidities on wage growth in Canada using a hazard model and micro data for union contracts. The hazard model is specified in a way that allows considerable flexibility in the shape of the estimated notional wage-change distribution.

Since the mid-2000s, labour productivity has slowed down in Canada despite enormous technological advances that were expected to improve it. This note investigates whether mismeasurement of the digital economy can explain this paradox.

This paper provides a framework for the early assessment of current U.S. nominal GDP growth, which has been considered a potential new monetary policy target. The nowcasts are computed using the exact amount of information that policy-makers have available at the time predictions are made. However, real-time information arrives at different frequencies and asynchronously, which poses challenges of mixed frequencies, missing data and ragged edges.

We examine the ability of the simple linear-quadratic model under rational expectations to explain dynamic behaviour of aggregate Canadian imports. In contrast to authors of previous studies who examine dynamic behaviour using the LQ model, we estimate the structural parameters using the Euler equation in a limited information framework that does not require an explicit solution for the model's control variables in terms of the exogenous forcing variables.

The authors empirically measure Canadian bond market liquidity using a number of indicators proposed in the literature and detail, for the first time, price and trade dynamics in the Government of Canada secondary bond market. They find, consistent with Inoue (1999), that the Canadian brokered interdealer fixed-income market is relatively liquid for its size.

The author develops the first comparative empirical study of bank failures during the nineties between East Asia and Latin America using bank-level data, in order to address the following two questions: (i) To what extent did individual bank conditions explain bank failures? (ii) Did mainly the weakest banks, in terms of their fundamentals, fail in the crisis countries?

A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time.

Central counterparties can make over-the-counter markets more resilient and reduce systemic risk by mitigating and managing counterparty credit risk. These benefits are maximized when access to central counterparties is available to a wide range of market participants. In an over-the-counter market, there is an important trade-off between risk and competition. A model of an over-the-counter market shows how risk and competition could be influenced by the incentives of market participants as they move to central clearing. In a centrally cleared market, there may be less risk when participation is high. This helps to explain why regulators have put in place requirements for fair, open and risk-based access criteria.