Evaluating Factor Models: An Application to Forecasting Inflation in Canada

Abstract

This paper evaluates the forecasting performance of factor models for Canadian inflation. This type of model was introduced and examined by Stock and Watson (1999a), who have shown that it is quite promising for forecasting U.S. inflation. Using a dimension-reduction method similar to traditional principal-components analysis, we extract a small number of factors from a sample consisting of both Canadian and U.S. data and construct four different factor models. Using parametric and non-parametric tests, we compare the forecasting performance of the factor models to various benchmark forecasting models. We conclude that factor models are as good as more elaborate models in forecasting Canadian inflation. Moreover, we find evidence that a model estimated using only U.S. data is helpful in predicting changes in the Canadian inflation rate.

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