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This book's contributors assess the performance of economic forecasting methods, argue that data can be better exploited through model and forecast combination, and advocate for models that are adaptive and perform well in the presence of nonlinearity and structural change. The contributors are: Michael D. Bradley, Dean Croshure, Dennis W. Jansen, Kajal Lahiri, Tae-Hwy Lee, David E. Rapach, and H.O. Stekler.

Table of Contents

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  1. Frontmatter
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  1. Title page
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  1. Copyright page
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  1. Contents
  2. p. v
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  1. 1 - Advances in Economic Forecasting
  2. pp. 1-6
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  1. 2 - Real-Time Forecasting
  2. pp. 7-24
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  1. 3 - Limits to Economic Forecasting
  2. pp. 25-50
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  1. 4 - Forecasting Regional and Industry-Level Variables: Challenges and Strategies
  2. pp. 51-64
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  1. 5 - Forecasting Asset Prices Using Nonlinear Models
  2. pp. 65-104
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  1. 6 - Perspectives on Evaluating Macroeconomic Forecasts
  2. pp. 105-148
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  1. 7 - Combining Forecasts with Many Predictors
  2. pp. 149-172
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  1. Authors
  2. pp. 173-174
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  1. Index
  2. pp. 175-184
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  1. About the Institute
  2. p. 185
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