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An Application of Vector Time Series Techniques to Macroeconomic Forecasting
Authors:James S. Fackler  Sandra C. Krieger
Affiliation:1. Department of Economics , University of Kentucky , Lexington , KY , 40506;2. Research Department , Federal Reserve Bank of New York , New York , NY , 10045
Abstract:A wide variety of time series techniques are now used for generating forecasts of economic variables, with each technique attempting to summarize and exploit whatever regularities exist in a given data set. It appears that many researchers arbitrarily choose one of these techniques. The purpose of this article is to provide an example for which the choice of time series technique appears important; merely choosing arbitrarily among available techniques may lead to suboptimal results.
Keywords:Multivariate autoregressive moving average model  Vector autoregression  Forecasting multivariate time series
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