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This paper attempts to identify the trend unemployment rate, an empirical concept, using cointegration theory. The authors examine whether there is a cointegrating relationship between the observed unemployment rate and various structural factors, focussing neither on the non-accelerating-inflation rate of unemployment (NAIRU) nor on the natural rate of unemployment, but rather on the trend unemployment rate, which they define in terms of cointegration.

The author explores the role that Taylor-type rules can play in monetary policy, given the degree of uncertainty in the economy. The optimal rule is derived from a simple infinite-horizon model of the monetary transmission mechanism, with only additive uncertainty.

In the United States, the Federal Reserve has a dual mandate of promoting stable inflation and maximum employment. Since the Fed directly controls only one instrument - the federal funds rate - the authors argue that the Fed's priorities continuously alternate between inflation and economic activity.

The stochastic simulation model suggested by Bolder (2003) for the analysis of the federal government's debt-management strategy provides a wide variety of useful information. It does not, however, assist in determining an optimal debt-management strategy for the government in its current form.

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.

A monetary authority with the primary objective of price stability has to distinguish between temporary price shocks and persistent shocks to the rate of inflation. A measure of underlying inflation, therefore, has an important role to play as a guideline for monetary policy.

Since the work of Doepke and Schneider (2006a) and Meh and Terajima (2008), we know that inflation causes major redistribution of wealth – between households and the government, between nationals and foreigners, and between households within the same country.

The authors develop simple econometric models to analyze and forecast two components of the Bank of Canada commodity price index: the Bank of Canada non-energy (BCNE) commodity prices and the West Texas Intermediate crude oil price. They present different methodologies to identify transitory and permanent components of movements in these prices.

Using the results of a survey on accepted means of payment, the authors examine merchant preferences and perceptions of retail payment reliability, risk, and costs; the share of each type of payment method over total sales; and the costs involved in accepting payments.

It is widely understood that the real price of globally traded commodities is determined by the forces of demand and supply. One of the main determinants of the real price of commodities is shifts in the demand for commodities associated with unexpected fluctuations in global real economic activity.