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Forecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States.

This study generalizes the applications of learning curve theory. It extends the simple power learning model in two ways: (1) by extending the model to include other sift variables, the extensive learning model; (2) by generalizing the functional relationship to give greater flexibility in modelling the learning curve, the translog learning model. Through empirical analyses of gross domestic product, total energy consumption, petroleum consumption, and petroleum products consumption, different learning curve models are explored and compared.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/186631
Date January 1994
CreatorsCheng, Yuanzhi.
ContributorsRieber, Michael, Newcomb, Richard T., Harris, DeVerle
PublisherThe University of Arizona.
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
Typetext, Dissertation-Reproduction (electronic)
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

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