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The information content of regional employment data for forecasting aggregate conditions
Authors:Rubn Hernndez-Murillo  Michael T Owyang
Institution:Research Department, Federal Reserve Bank of St. Louis, P.O. Box 422, St. Louis, MO 63166, United States
Abstract:We consider whether disaggregated data enhance 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% at a two-year horizon.
Keywords:Forecasting  Aggregation  Spatial econometrics
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