Forecasting local business activity from aggregate indicators |
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Authors: | Richard G. Fritz W. Warren McHone |
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Affiliation: | (1) Department of Economics, University of Central Florida, P.O. Box 25000, 328 16 Orlando, FL, USA |
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Abstract: | A regional forecasting technique is developed which combines national and local indicators to provide forecasts of local business activity. A regional business index is first developed to provide a time series from which the historical pattern of local business activity may be evaluated. The relationship between this time series and a similarly constructed national indicator series are first examined with cross-spectral analysis. The information from this analysis is used to guide the formulation of a transfer function time series model. Out-of-sample forecasts are then generated with the transfer model and a univariate ARMIA model. A comparison of these two forecasts to the actual regional index reveals that the transfer model provides a superior forecast. |
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