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Gosselin examines and reports on the various factors that contribute to successful inflation targeting. Using a panel of 21 inflation-targeting countries over the period 1990Q1-2007Q2, Gosselin finds that the ability of central banks to hit their targets varies considerably. Some of these differences can be explained by exchange rate fluctuations, fiscal deficits, and differences in financial development. Others are explained by differences in the targeting framework itself and the manner in which it is implemented.

The authors examine the characteristics of International Monetary Fund (IMF) lending from the 1960s to 2005.

In this report, we evaluate several simple monetary policy rules in twelve private and public sector models of the Canadian economy. Our results indicate that none of the simple policy rules we examined is robust to model uncertainty, in that no single rule performs well in all models.

The author examines the impact of economic uncertainty on the demand for money.

We show how to use optimal control theory to derive optimal time-consistent Markov-perfect government policies in nonlinear dynamic general equilibrium models, extending the result of Cohen and Michel (1988) for models with quadratic objective functions and linear dynamics. We replace private agents' costates by flexible functions of current states in the government's maximization problem.

From 1870 to 2000, the workweek length of employed persons decreased by 41 per cent in industrialized countries.

In this paper, I consider a simple model in which agents learn about the inflation target of a central bank over time by observing the policy instrument or inflation outcomes. Measuring credibility as the distance between the perceived target and the actual target, an increase in credibility is beneficial to the central bank because it brings the policy consistent with attaining the inflation target closer to that required to attain the output target.

State-space models have long been popular in explaining the evolution of various economic variables. This is mainly because they generally have more economic content than do others in their class of parsimonious models (for example, VARs). Yet, in spite of their advantages, use of these models until recently was limited by the assumption that all […]

Wavelets are mathematical expansions that transform data from the time domain into different layers of frequency levels. Compared to standard Fourier analysis, they have the advantage of being localized both in time and in the frequency domain, and enable the researcher to observe and analyze data at different scales.

How can policy-makers avoid large policy errors when they are uncertain about the true model of the economy?