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The authors test the statistical significance of Pindyck's (1999) suggested class of econometric equations that model the behaviour of long-run real energy prices.

The recent crisis was characterized by widespread deterioration in funding conditions, as well as impairment of the mechanism through which liquidity is normally redistributed within the financial system. Central banks responded with extraordinary measures. This article examines the provision of liquidity by central banks during the crisis as they adapted their existing facilities and introduced new ones, while encouraging a return to private markets and mitigating moral hazard. A review of this experience illustrates the importance of clear principles for intervention, a flexible operating framework, and clear communication and co-operation by central banks. By exposing the degree of interdependence of financial institutions and markets, the crisis highlighted the need for reforms aimed at improving the infrastructure supporting core funding markets and the liquidity of individual institutions.

The Bank of Canada considers a wide range of information and analysis before making a monetary policy decision and uses carefully articulated models to produce economic projections and to examine alternative scenarios. This article describes an ongoing research agenda at the Bank to develop models in which financial variables play an active role in the transmission of monetary policy actions to economic activity. Such models can help to analyze information from the financial side of the economy and to provide an overall view of the implications of financial developments for the current economic outlook. The authors also explain how this research can help address other issues relevant to the objectives of monetary policy, including how asset-price movements should be taken into account in the monetary policy framework.

The ongoing process of price discovery in foreign exchange markets provides valuable information to certain market participants. Recent empirical findings suggest that aggregate measures of order flow convey information about the fundamental value of the exchange rate. Using a market microstructure approach, D'Souza reports on a two-year study of completed transactions within the Canadian and Australian exchange rate markets to examine the relationship between exchange rate returns and trades initiated in different locations. Based on the information content of the trades, he finds that geographic location and hours of operation are two of the factors driving informed interdealer trading.

The decline in safe real interest rates over the past three decades has reignited discussions on the neutral real interest rate, known as R*. We address the determinants and estimation methods of R*, as well as the factors influencing its decline and its future trajectory.

We construct a 23-country panel data set to consider the effect of central bank projections and forward guidance on private-sector forecast disagreement. We find that central bank projections and forward guidance matter mainly for private-sector forecast disagreement surrounding upcoming policy rate decisions and matter less for private-sector macroeconomic forecasts.

Various papers have suggested that Price-Level targeting is a welfare improving policy relative to Inflation targeting. From a practical standpoint, this raises an important yet unanswered question: What is the optimal price index to target?

In a recent paper, Chang, Gomes, and Schorfheide (2002) extend the standard real business cycle (RBC) model to allow for a learning-by-doing (LBD) mechanism whereby current labour supply affects future productivity.

In 2006, the Bank initiated a research program exploring two alternatives to the current inflation-targeting framework: (i) lowering the inflation target and (ii) shifting to a price-level target. This article discusses progress to date, places the Bank's findings in the context of a broader literature, and identifies avenues for future research.

We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).