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A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks
Norman R. Swanson () and
Halbert White
Macroeconomics from EconWPA
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.
Keywords: Artificial Neural Networks ; Ex-ante Forecasting (search for similar items in EconPapers)
JEL-codes: E (search for similar items in EconPapers)
Date: 1995-03-27
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Related works: Working Paper: A Models Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks (1995) Journal Article: A Model Selection Approach To Real-Time Macroeconomic Forecasting Using Linear Models And Artificial Neural Networks (1997) This item may be available elsewhere in EconPapers: Search for items with the same title.
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Persistent link: http://EconPapers.repec.org/RePEc:wpa:wuwpma:9503004
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