The information content of regional employment data for forecasting aggregate conditions
We consider whether disaggregated data enhances the efficiency of aggregate employment forecasts. We find that incorporating spatial interaction into a disaggregated forecasting model lowers the out-of-sample mean-squared-error from a univariate aggregate model by 70 percent at a two-year horizon.
(This abstract was borrowed from another version of this item.)
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