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The authors estimate and solve a small structural model for the euro area over the 1983–2000 period. Given the assumption of rational expectations, the model implies a set of orthogonality conditions that provide the basis for estimating the model's parameter by generalized method of moments.

The authors apply existing inflation models that have worked well in industrialized countries to Mexico, an emerging market that has recently moved to adopt an inflation-targeting framework for monetary policy. They compare the performance of these models with a mark-up model that has been used extensively to analyze inflation in Mexico.

Traditional structural models cannot distinguish whether changes in activity are a function of altered expectations today or lagged responses to past plans. Polynomial-adjustment-cost (PAC) models remove this ambiguity by explicitly separating observed dynamic behaviour into movements that have been induced by changes in expectations, and responses to expectations, that have been delayed because of adjustment costs.

The authors study the macroeconomic consequences of large military buildups using a New Neoclassical Synthesis (NNS) approach that combines nominal rigidities within imperfectly competitive goods and labour markets. They show that the predictions of the NNS framework generally are consistent with the sign, timing, and magnitude of how hours worked, after-tax real wages, and output actually respond to an upsurge in military purchases.

The authors use a dynamic general-equilibrium model to study the role financial frictions play as a transmission mechanism of Canadian monetary policy, and to evaluate the real effects of exogenous credit shocks. Financial frictions, which are modelled as spreads between deposit and loan interest rates, are assumed to depend on economic activity as well as on credit shocks.

The author evaluates the ability of a variety of output-gap estimators to accurately measure the output gap in a model economy. A small estimated model of the Canadian economy is used to generate artificial data.

Postulating two different specifications for the Canadian Phillips curve (a purely backwardlooking model, and a partly backward-, partly forward-looking model), the authors test for structural breaks in the parameters of the equation. In each case, they account for the possibilities that: (i) breaks can be discrete, or continuous, and (ii) available data samples may be too small to justify using asymptotically valid structural-change tests.

The author presents empirical evidence that he has obtained from an analysis of the response of different economic variables, including the real wage rate, to a technology shock.

Using interest rate yield spreads to explain changes in inflation, we investigate whether such relationships can be modelled using two-regime threshold models.

Within a unified framework, the author conducts an empirical investigation of dynamic interrelationships among inflation, inflation uncertainty, relative price dispersion, and output growth.