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This paper studies the interdependence between fiscal and monetary policies, and their joint role in the determination of the price level.

It's been a difficult year for many sectors of the Alberta economy. Certainly, the severe drought hurt many western farmers, and investment in the energy sector was held back by low oil and gas prices. In addition, the slump in the telecom sector has affected Calgary.

Guided by a macroeconomic model in which non-energy commodity prices are endogenously determined, we apply a new factor-based identification strategy to decompose the historical sources of changes in commodity prices and global economic activity.

In its conduct of monetary policy, the Bank of Canada carefully monitors the pace of monetary expansion for indications about the outlook for inflation and economic activity. In recent years, a number of factors have distorted the growth of the traditional broad and narrow aggregates. In this article, the authors discuss the uncertainty surrounding the classification of deposit instruments that has resulted from the elimination of reserve requirements and from other financial innovations. They introduce two new measures of transactions balances, M1+ and M1++ (described more fully in a technical note in this issue of the Review), that internalize some of the substitutions that have occurred. They attribute the deceleration in M1 growth in 1998 partly to the declining influence of special factors, partly to a lagged response to interest rate increases in 1997 and early 1998, and partly to some temporary tightening in credit conditions in the autumn of 1998. The broad monetary aggregate M2++, which includes all personal savings deposits, life insurance annuities, and mutual funds, grew at a steady pace in 1998, presaging growth of about 4 to 5 per cent in total dollar spending and inflation inside the target range.

In this article, the authors build on the framework used in the Bank of Canada's Financial System Review to assess the evolution of household indebtedness and financial vulnerabilities in response to changing economic conditions. To achieve this, they first compare two microdata sets generated by Ipsos Reid's Canadian Financial Monitor and Statistics Canada's Survey of Financial Security. They find that the surveys are broadly comparable, despite methodological differences. This enables them to use the combined information content for the identification of the threshold value of the debt-service ratio (DSR). The article then presents an innovative framework that uses household-level microdata to simulate changes in the distribution of the DSR under various stress scenarios. The authors show how this framework can be used by analyzing the effects of two different scenarios on the distribution of the debt-service ratio and the impact on vulnerable households. This tool will enable researchers to refine their analyses of current risks to the financial health of Canadian households. The article concludes with comments on future directions for refining the Bank's analyses of household sector risk.

How do changes to personal and corporate income tax rates in the United States affect its trading partners? Spillover effects from cuts in the two taxes differ. They are generally small and negative for corporate taxes, but sizable and positive for personal income taxes.

This paper considers a real business cycle model with labor search frictions where two types of incentive pay are explicitly introduced following the insights from the micro literature on performance pay (e.g. Lazear, 1986).

The author attempts to track Canadian labour productivity over the past four decades using a multivariate dynamic factor model that, in addition to the labour productivity series, includes aggregate compensation and consumption information. Productivity is assumed to switch between two regimes (the high-growth state and the low-growth state) with different trend growth rates according to […]

In this paper, we investigate how liquidity conditions in Canada may affect domestic and/or foreign lending of globally active banks and whether this transmission is influenced by individual bank characteristics.