A must-read guide for economists, policymakers, and industry analysts, where University of Michigan statisticians W. Allen Spivey and William J. Wrobleski rigorously evaluate the forecasting performance of major econometric models, including Wharton, Data Resources, Chase Econometric Associates, and BEA, tackling linear and nonlinear model methodology, quarterly forecast error analysis, and policy multiplier studies to give readers a clear-eyed assessment of how well these tools actually predict economic and policy outcomes.
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