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A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks Author info | Abstract | Publisher info | Download info | Related research | Statistics Norman R. Swanson (Penn State University)
Halbert White (University of California, San Diego)
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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.
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Paper provided by EconWPA in its series Macroeconomics with number
9503004.
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Date of creation: 27 Mar 1995Date of revision:
Handle: RePEc:wpa:wuwpma:9503004Note: postscript fileContact details of provider: Web page: http://129.3.20.41
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Keywords: Artificial Neural Networks ; Ex-ante Forecasting ; Other versions of this item:
Find related papers by JEL classification: E - Macroeconomics and Monetary Economics
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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