Diffusion Indexes

James Stock and Mark Watson

No 6702, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper considers forecasting a single time series using more predictors than there are time series observations. The approach is to construct a relatively few indexes, akin to diffusion indexes, which are weighted averages of the predictors, using an approximate dynamic factor model. Estimation is discussed for balanced and unbalanced panels. The estimated dynamic factors are (uniformly) consistent, even in the presence of time varying parameters and/or data contamination, and forecasts based on the estimated factors are efficient. In an application to forecasting U.S. inflation and industrial production using 224 monthly time series, these forecasts outperform various state-of-the-art benchmark models.

JEL-codes: C32 E37 (search for similar items in EconPapers)
Date: 1998-08
New Economics Papers: this item is included in nep-cdm and nep-ecm
Note: EFG
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Citations: View citations in EconPapers (206)

Published as Stock, James H. and Mark W. Watson. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business and Economic Statistics, 2002, v20(2,Apr), 147-162.

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