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A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks

Author

Listed:
  • Norman R. Swanson

    (Penn State University)

  • Halbert White

    (University of California, San Diego)

Abstract

We take a model selection approach to real-time macroeconomic forecasting using linear and nonlinear models. True ex-ante forecasting are constructed by using unrevised as opposed to fully revised data. Model selection as well as model performance measures are considered.

Suggested Citation

  • Norman R. Swanson & Halbert White, 1995. "A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks," Macroeconomics 9503004, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpma:9503004
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    References listed on IDEAS

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    More about this item

    Keywords

    Artificial Neural Networks; Ex-ante Forecasting;

    JEL classification:

    • E - Macroeconomics and Monetary Economics

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