Econometric and statistical methods
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On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment
The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data). -
Market Expectations and Option Prices: Evidence for the Can$/US$ Exchange Rate
Security prices contain valuable information that can be used to make a wide variety of economic decisions. To extract this information, a model is required that relates market prices to the desired information, and that ideally can be implemented using timely and low-cost methods. -
9 March 2010 Monetary Policy Rules in an Uncertain Environment
This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.